ISG Software Research Analyst Perspectives

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We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution. <a href="https://www.ventanaresearch.com/services/vendors/analyst_relations" rel="noopener">Analyst Relations</a> <a href="https://www.ventanaresearch.com/services/vendors/demand_generation" rel="noopener">Demand Generation</a> <a href="https://www.ventanaresearch.com/services/vendors/product-marketing" rel="noopener">Product Marketing</a> <a href="https://www.ventanaresearch.com/vendor-coverage" target="_self" role="menuitem">Market Coverage</a> <a href="https://www.ventanaresearch.com/briefing" target="_self" role="menuitem">Request a Briefing</a> </div> <ul></ul> <div class="bottom_rich_text"> </div> </div> </div> </div> </div> </div> <script src="https://blog.isg-research.net/hs-fs/hub/2035844/hub_generated/template_assets/90531223305/1725882478811/Ventana_Research_2023/js/mmenu.min.js"></script> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="hs_cos_wrapper_Structured_data" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"></div> <div class="body-container-wrapper"> <div class="blog-header background-image post_page_2" data-bg-color="secondary" style="background-size:cover;background-position:50%;background-repeat:no-repeat;background-image:url(https://blog.isg-research.net/hubfs/_images/_backgrounds/314838419_1200px.jpg)">  <div class="row-fluid"> <div class="blog-header__inner dnd-row"> <div class="blog--post__image dnd-section">  <h1 class="analyst-header-title">Analyst Perspectives</h1>  </div> </div> </div> </div> <div class="content-wrapper-listing blog-single"> <div class="blog-content-wrapper"> <div>  <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/30/big-data-and-analytics-has-a-new-spark">Big Data and Analytics has a New Spark</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 29 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=200&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=100&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=200&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=300&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=400&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=500&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png?width=600&name=vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. <a href="//www.ventanaresearch.com/BigDataAnalytics/" target="_blank">Our benchmark research on big data analytics</a> shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using... </div> <a href="https://blog.isg-research.net/2015/10/30/big-data-and-analytics-has-a-new-spark"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/big-data">Big Data</a>, <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://blog.isg-research.net/topic/software-as-a-service">Software as a Service</a>, <a href="https://blog.isg-research.net/topic/it-analytics-performance">IT Analytics & Performance</a>, <a href="https://blog.isg-research.net/topic/operational-performance">Operational Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://blog.isg-research.net/topic/information-management">Information Management</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/data">Data</a>, <a href="https://blog.isg-research.net/topic/information-optimization">Information Optimization</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/30/continuous-accounting-enables-a-strategic-finance-department">Continuous Accounting Enables a Strategic Finance Department</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 29 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=200&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=100&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=200&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=300&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=400&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=500&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png?width=600&name=vr_office_of_finance_05_finance_should_take_strategic_role-4.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> Many senior finance executives say they want their department to play a more strategic role in the management and operations of their company. They want Finance to shift its focus from processing transactions to higher-value functions in order to make more substantial contributions to the success of the organization. I use the term “continuous accounting” to represent an approach to managing the accounting cycle that can facilitate the shift by improving the performance of the accounting... </div> <a href="https://blog.isg-research.net/2015/10/30/continuous-accounting-enables-a-strategic-finance-department"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/erp">ERP</a>, <a href="https://blog.isg-research.net/topic/office-of-finance">Office of Finance</a>, <a href="https://blog.isg-research.net/topic/reporting">Reporting</a>, <a href="https://blog.isg-research.net/topic/close">close</a>, <a href="https://blog.isg-research.net/topic/closing">closing</a>, <a href="https://blog.isg-research.net/topic/controller">Controller</a>, <a href="https://blog.isg-research.net/topic/dashboard">dashboard</a>, <a href="https://blog.isg-research.net/topic/tax">Tax</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://blog.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://blog.isg-research.net/topic/financial-performance">Financial Performance</a>, <a href="https://blog.isg-research.net/topic/cfo">CFO</a>, <a href="https://blog.isg-research.net/topic/data">Data</a>, <a href="https://blog.isg-research.net/topic/finance">finance</a>, <a href="https://blog.isg-research.net/topic/financial-performance-management">Financial Performance Management</a>, <a href="https://blog.isg-research.net/topic/fpm">FPM</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/25/operationalize-predictive-analytics-for-significant-business-impact">Operationalize Predictive Analytics for Significant Business Impact</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 24 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=200&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=100&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=200&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=300&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=400&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=500&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png?width=600&name=vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs... </div> <a href="https://blog.isg-research.net/2015/10/25/operationalize-predictive-analytics-for-significant-business-impact"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/big-data">Big Data</a>, <a href="https://blog.isg-research.net/topic/microsoft">Microsoft</a>, <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://blog.isg-research.net/topic/sas">SAS</a>, <a href="https://blog.isg-research.net/topic/social-media">Social Media</a>, <a href="https://blog.isg-research.net/topic/alteryx">alteryx</a>, <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance</a>, <a href="https://blog.isg-research.net/topic/operational-performance">Operational Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/business-performance">Business Performance</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/oracle">Oracle</a>, <a href="https://blog.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://blog.isg-research.net/topic/spss">SPSS</a>, <a href="https://blog.isg-research.net/topic/rapidminer">Rapidminer</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/17/insights-from-dreamforce-15-exceeds-expectations">Insights from Dreamforce ‘15 Exceeds Expectations</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 17 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg" width="200" !important: srcset="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=100&name=shutterstock_314838419-1.jpg 100w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg 200w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=300&name=shutterstock_314838419-1.jpg 300w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=400&name=shutterstock_314838419-1.jpg 400w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=500&name=shutterstock_314838419-1.jpg 500w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=600&name=shutterstock_314838419-1.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> I recently attended my first U.S. Dreamforce, the annual <a href="http://www.salesforce.com/" target="_blank" rel="noopener">salesforce.com</a> event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000... </div> <a href="https://blog.isg-research.net/2015/10/17/insights-from-dreamforce-15-exceeds-expectations"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/big-data">Big Data</a>, <a href="https://blog.isg-research.net/topic/sales-performance">Sales Performance</a>, <a href="https://blog.isg-research.net/topic/social-media">Social Media</a>, <a href="https://blog.isg-research.net/topic/customer-analytics">Customer Analytics</a>, <a href="https://blog.isg-research.net/topic/customer-experience">Customer Experience</a>, <a href="https://blog.isg-research.net/topic/marketing">Marketing</a>, <a href="https://blog.isg-research.net/topic/mobile-technology">Mobile Technology</a>, <a href="https://blog.isg-research.net/topic/speech-analytics">Speech Analytics</a>, <a href="https://blog.isg-research.net/topic/wearable-computing">Wearable Computing</a>, <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://blog.isg-research.net/topic/customer-service">Customer Service</a>, <a href="https://blog.isg-research.net/topic/call-center">Call Center</a>, <a href="https://blog.isg-research.net/topic/contact-center">Contact Center</a>, <a href="https://blog.isg-research.net/topic/contact-center-analytics">Contact Center Analytics</a>, <a href="https://blog.isg-research.net/topic/crm">CRM</a>, <a href="https://blog.isg-research.net/topic/text-analytics">Text Analytics</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/17/business-case-for-predictive-analytics-is-simpler-than-you-think">Business Case for Predictive Analytics is Simpler Than You Think</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 16 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=200&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=100&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=200&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=300&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=400&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=500&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png?width=600&name=vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case... </div> <a href="https://blog.isg-research.net/2015/10/17/business-case-for-predictive-analytics-is-simpler-than-you-think"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/big-data">Big Data</a>, <a href="https://blog.isg-research.net/topic/microsoft">Microsoft</a>, <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://blog.isg-research.net/topic/sas">SAS</a>, <a href="https://blog.isg-research.net/topic/social-media">Social Media</a>, <a href="https://blog.isg-research.net/topic/alteryx">alteryx</a>, <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance</a>, <a href="https://blog.isg-research.net/topic/operational-performance">Operational Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/oracle">Oracle</a>, <a href="https://blog.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://blog.isg-research.net/topic/spss">SPSS</a>, <a href="https://blog.isg-research.net/topic/rapidminer">Rapidminer</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/09/responsetek-makes-customer-experience-management-simple-and-sophisticated">ResponseTek Makes Customer Experience Management Simple and Sophisticated</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 08 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=200&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=100&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=200&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=300&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=400&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=500&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png?width=600&name=vr_cfm_benefits_of_capturing_customer_feedback-11.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <a href="http://www.responsetek.com/" target="_blank">ResponseTek</a> is a software vendor whose platform and services help companies collect and act on feedback from their customers. It supports a closed-loop process that collects feedback, analyzes it, provides customizable reports and analysis dependent on the user, and most importantly enables taking action based on the information. This allows companies to understand product and service issues, customer sentiment, intentions, and likely behaviors, and where necessary ensures the most appropriate... </div> <a href="https://blog.isg-research.net/2015/10/09/responsetek-makes-customer-experience-management-simple-and-sophisticated"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/customer-analytics">Customer Analytics</a>, <a href="https://blog.isg-research.net/topic/customer-experience">Customer Experience</a>, <a href="https://blog.isg-research.net/topic/customer-feedback-management">Customer Feedback Management</a>, <a href="https://blog.isg-research.net/topic/speech-analytics">Speech Analytics</a>, <a href="https://blog.isg-research.net/topic/voice-of-the-customer">Voice of the Customer</a>, <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://blog.isg-research.net/topic/customer-service">Customer Service</a>, <a href="https://blog.isg-research.net/topic/call-center">Call Center</a>, <a href="https://blog.isg-research.net/topic/contact-center">Contact Center</a>, <a href="https://blog.isg-research.net/topic/text-analytics">Text Analytics</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://blog.isg-research.net/2015/10/09/cloud-based-analytics-requires-hybrid-data-access-and-integration">Cloud-Based Analytics Requires Hybrid Data Access and Integration</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 08 October 2015 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=200&name=vr_dac_16_dealing_with_multiple_data_sources.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=100&name=vr_dac_16_dealing_with_multiple_data_sources.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=200&name=vr_dac_16_dealing_with_multiple_data_sources.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=300&name=vr_dac_16_dealing_with_multiple_data_sources.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=400&name=vr_dac_16_dealing_with_multiple_data_sources.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=500&name=vr_dac_16_dealing_with_multiple_data_sources.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png?width=600&name=vr_dac_16_dealing_with_multiple_data_sources.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> As I discussed <a href="http://tonycosentino.ventanaresearch.com/2015/08/20/data-and-analytics-in-the-cloud-is-a-reality-today/" target="_blank">in the state of data and analytics in the cloud</a> recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed... </div> <a href="https://blog.isg-research.net/2015/10/09/cloud-based-analytics-requires-hybrid-data-access-and-integration"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/big-data">Big Data</a>, <a href="https://blog.isg-research.net/topic/sales-performance">Sales Performance</a>, <a href="https://blog.isg-research.net/topic/software-as-a-service">Software as a Service</a>, <a href="https://blog.isg-research.net/topic/mobile-technology">Mobile Technology</a>, <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance</a>, <a href="https://blog.isg-research.net/topic/operational-performance">Operational Performance</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-analytics">Business Analytics</a>, <a href="https://blog.isg-research.net/topic/business-collaboration">Business Collaboration</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/business-mobility">Business Mobility</a>, <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing</a>, <a href="https://blog.isg-research.net/topic/information-management">Information Management</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/data">Data</a> <hr> </div> <script> // Check active classes var checkClass = function() { if ( $('.fil_item').hasClass('hide') ) { $('.fil_item').removeClass('hide'); } }; // Category filters $('.all').click( function() { checkClass(); }); // Active tag $('.bttn').click(function(){ $('.bttn').removeClass('active'); $(this).addClass('active'); }) </script> </div> <div class="blog-numeric-pagination span12 ">   </div> </div> <div class="blog-sidebar">   <style> .blog-sidebar h3 { font-size: 18px; margin-bottom: 30px; position: relative; color: var(--light_blue); padding-top:40px; } .btn-secondary, .filter-expand-link { text-transform: uppercase; background-color: #113049!important; border-color: #113049!important; color: #ffffff!important; transition: all .15s ease-in-out; animation-timing-function: ease-in-out; font-family: 'Open Sans', sans-serif; font-style: normal; font-weight: 500; text-decoration: none; font-size: 0.875rem; line-height: 1.4000000000000001rem; border-radius: 6px; height: 3.5rem; text-align: center; padding: 0 2.8125rem; border: 1px solid; display: -webkit-inline-box; display: -ms-inline-flexbox; display: inline-flex; -webkit-box-align: center; -ms-flex-align: center; align-items: center; } .filter-expand-link { text-transform: uppercase; background-color: #113049!important; border-color: #113049!important; color: #ffffff!important; transition: all .15s ease-in-out; animation-timing-function: ease-in-out; font-family: 'Open Sans', sans-serif; font-style: normal; font-weight: 500; text-decoration: none; font-size: 0.875rem; line-height: 1.4000000000000001rem; border-radius: 6px; height: 3.5rem; text-align: center; padding: 0 2.8125rem; border: 1px solid; display: -webkit-inline-box; display: -ms-inline-flexbox; display: inline-flex; -webkit-box-align: center; -ms-flex-align: center; align-items: center; } </style> <a href="https://cta-redirect.hubspot.com/cta/redirect/2035844/960cd0b7-7494-40d3-ac1c-5825d5a075be"><img class="hs-cta-img" id="hs-cta-img-960cd0b7-7494-40d3-ac1c-5825d5a075be" style="border-width:0px;" src="https://no-cache.hubspot.com/cta/default/2035844/960cd0b7-7494-40d3-ac1c-5825d5a075be.png" alt="JOIN OUR COMMUNITY"></a><script charset="utf-8" src="https://js.hscta.net/cta/current.js"></script><script type="text/javascript"> hbspt.cta.load(2035844, '960cd0b7-7494-40d3-ac1c-5825d5a075be', {"useNewLoader":"true","region":"na1"}); </script> <h3>Our Analyst Perspective Policy</h3> <ul> <li style="display: none; list-style: none;"> Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, <g class="gr_ gr_12 gr-alert gr_gramm gr_inline_cards gr_run_anim Punctuation only-ins replaceWithoutSep" id="12" data-gr-id="12">industry</g> and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights. Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to <a href="mailto:ChiefResearchOfficer@ventanaresearch.com" style="color: #284a7b;">ChiefResearchOfficer@ventanaresearch.com</a> </li> </ul> <a class="btn-secondary" href="https://www.ventanaresearch.com/analyst-perspective-policy">View Policy</a>  <div id="hs_cos_wrapper_module_168621267066296" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"><style> </style> <h3 style="color: #255a89;">Our Analysts</h3>  <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://davidmenninger.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png" alt="David Menninger" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=50&name=Menninger.David%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=150&name=Menninger.David%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=200&name=Menninger.David%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=250&name=Menninger.David%20Pic.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=300&name=Menninger.David%20Pic.Circle.png 300w"> <h5 class="analyst_name">David Menninger</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://jefforr.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png" alt="Jeff Orr" width="100" data-constrained="true" caption="false" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=50&name=Orr.Jeff.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=150&name=Orr.Jeff.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=200&name=Orr.Jeff.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=250&name=Orr.Jeff.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=300&name=Orr.Jeff.Circle.png 300w" sizes="(max-width: 100px) 100vw, 100px"> <h5 class="analyst_name">Jeff Orr</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://keithdawson.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png" alt="Keith Dawson" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=50&name=Dawson.Keith%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=150&name=Dawson.Keith%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=200&name=Dawson.Keith%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=250&name=Dawson.Keith%20Pic.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=300&name=Dawson.Keith%20Pic.Circle.png 300w"> <h5 class="analyst_name">Keith Dawson</h5> </a> </div> <div class="span6" style="text-align:center;"> <a href="https://marksmith.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png" alt="Mark Smith" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=50&name=Smith.Mark%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=150&name=Smith.Mark%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=200&name=Smith.Mark%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=250&name=Smith.Mark%20Pic.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=300&name=Smith.Mark%20Pic.Circle.png 300w"> <h5 class="analyst_name">Mark Smith</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://mattaslett.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png" alt="Matt Aslett" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=50&name=Aslett.Matt%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=150&name=Aslett.Matt%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=200&name=Aslett.Matt%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=250&name=Aslett.Matt%20Pic.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=300&name=Aslett.Matt%20Pic.Circle.png 300w"> <h5 class="analyst_name">Matt Aslett</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://matthewbrown.isg-research.net/"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png" alt="Matthew Brown" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=50&name=profile_vr_matthew_brown_circle_900x900.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=150&name=profile_vr_matthew_brown_circle_900x900.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=200&name=profile_vr_matthew_brown_circle_900x900.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=250&name=profile_vr_matthew_brown_circle_900x900.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=300&name=profile_vr_matthew_brown_circle_900x900.png 300w"> <h5 class="analyst_name">Matthew Brown</h5> </a> </div> </div>   <div class="row-fluid"> <div class="span6" style="text-align: center;"> <a href="https://robertkugel.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png" alt="Robert Kugel" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=50&name=Kugel.Robert%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png 100w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=150&name=Kugel.Robert%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=200&name=Kugel.Robert%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=250&name=Kugel.Robert%20Pic.Circle.png 250w, 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https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=150&name=Hurrell.Stephen%20Pic.Circle.png 150w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=200&name=Hurrell.Stephen%20Pic.Circle.png 200w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=250&name=Hurrell.Stephen%20Pic.Circle.png 250w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=300&name=Hurrell.Stephen%20Pic.Circle.png 300w"> <h5 class="analyst_name">Stephen Hurrell</h5> </a> </div> </div>   <div class="row-fluid">  <div style="text-align: center;"> <a href="https://blog.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/ISG_Bug_Reverse_Transparent.png?width=100&name=ISG_Bug_Reverse_Transparent.png" alt="ISG Software Research" width="100" data-constrained="true" caption="false" 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href="https://blog.isg-research.net/topic/cem">CEM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ceo">CEO (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ceo-cfo-financial-performance-management-forecasti">CEO, CFO, Financial Performance Management, Foreca (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cep">CEP (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ceridian">Ceridian (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cfo">CFO (164)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/challenge">challenge (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/channel">channel (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/channelinsight">ChannelInsight (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chargebacks">chargebacks (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chart-of-accounts">chart of accounts (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chatbots">Chatbots (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chatter">Chatter (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chief-risk-officer">Chief Risk Officer (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/chro">CHRO (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ci-cd">CI/CD (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cicero">Cicero (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cincom">Cincom (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cio">CIO (112)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cio-callenges">cio callenges (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cirro">Cirro (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cisco">Cisco (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ciso">CISO (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clarabridge">Clarabridge (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clarity-systems">Clarity Systems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clickfox">Clickfox (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/close">close (43)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/closed-loop">closed loop (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/closing">closing (35)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud">Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud-analytics">cloud analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud-business-intelligence">cloud business intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud-computing">Cloud Computing (863)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud-erp">cloud ERP (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloud9-analytics">Cloud9 Analytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cloudera">Cloudera (17)</a> </li> 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href="https://blog.isg-research.net/topic/commission">commission (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/commodity-model">commodity model (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/commodity-models">commodity models (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/communications">communications (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/compensation">Compensation (64)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/competition">competition (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/complex-event-processing">Complex Event Processing (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/compliance">compliance (30)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/composite-document">Composite document (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/composite-software">Composite Software (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/computer-vision">Computer Vision (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/computing">computing (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/concur">Concur (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/confirmit">Confirmit (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/connectwise">ConnectWise (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/connotate">Connotate (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/consolidate-and-close-management">Consolidate and Close 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href="https://blog.isg-research.net/topic/customer-experience">Customer Experience (532)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-experience-management">Customer Experience Management (55)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-feedback">Customer Feedback (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-feedback-management">Customer Feedback Management (123)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-information-management">Customer Information Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-intelligence">Customer Intelligence (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-interaction-technology">Customer Interaction Technology (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-journey-maps">Customer Journey Maps (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-life-cycle">customer life cycle (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance (109)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-relationship-management">Customer Relationship Management (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-service">Customer Service (289)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-service-and-support">customer service and support (20)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cxm">CXM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cybersecurity">Cybersecurity (5)</a> </li> <li 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href="https://blog.isg-research.net/topic/data-mart">data mart (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-mining">Data Mining (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-observability">Data Observability (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-operations">data operations (101)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-ops">Data Ops (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-orchestration">Data Orchestration (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-pipelines">Data Pipelines (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-platforms">data platforms (45)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-preparation">Data 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href="https://blog.isg-research.net/topic/data-visualization">Data Visualization (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-viz">data viz (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-warehousing">Data Warehousing (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database">Database (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database-as-a-service">Database as a Service (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database-com">database.com (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/datameer">Datameer (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dataops">dataops (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dataprep">DataPrep (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/datawatch">Datawatch (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dayforce">dayforce (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ddi">DDI (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/debt">debt (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision">decision (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-hub">Decision Hub (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-intelligence">Decision Intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-management">Decision Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decusoft">Decusoft (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/deep-learning">Deep Learning (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dell">Dell (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dell-boomi">Dell Boomi (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-chain">Demand Chain (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-generation">Demand Generation (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-management">demand management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-planning">Demand Planning (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/design">design (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/designed-data">designed data (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/desktop-analytics">Desktop Analytics (124)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/development">development (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/devops-and-platforms">DevOps and Platforms (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/devsecops">DevSecOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/df11">DF11 (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dg">DG (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dhcp">DHCP (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-applications">Digital Applications (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-business">Digital Business (47)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-commerce">Digital Commerce (104)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-communications">Digital Communications (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-experience-platform">Digital Experience Platform (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-finance">digital finance (105)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-innovation-awards">Digital Innovation Awards (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-intelligence">Digital Intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-interviewing">Digital Interviewing (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-marketing">Digital Marketing (28)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-operations">Digital Operations (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-publishing">Digital Publishing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-security">Digital Security (23)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-technology">Digital Technology (292)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-transformation">Digital transformation (20)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/direct-data-mapping">Direct Data Mapping (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/disaster-recovery">Disaster Recovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery">Discovery (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery-analytics">discovery analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery-tools">discovery tools (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/distribution">distribution (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dns">DNS (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/document-management">Document Management (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dodd-frank">Dodd-Frank (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/domestic-payroll">Domestic Payroll (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/domo">Domo (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dovetail">Dovetail (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dreamforce">Dreamforce (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/driver-analysis">driver analysis (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/driver-based">driver-based (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/driver-based-planning">driver-based planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dynamics">Dynamics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dynamics-ax">Dynamics AX (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dynamics-gp">Dynamics GP (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dynamics-nav-dynamics-sl">Dynamics NAV Dynamics SL (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/e-discovery">e-discovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/echopass">Echopass (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eclipse">Eclipse (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/edi">EDI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ediscovery">eDiscovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/editorial">Editorial (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/effectiveness">effectiveness (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eg-solutions">eg Solutions (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/elasticube">elasticube (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eloqua">Eloqua (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/embedded-analytics">embedded analytics (95)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/emc">EMC (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-engagement">Employee Engagement (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-experience">employee experience (47)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-onboarding">Employee Onboarding (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-productivity">Employee Productivity (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/empower">Empower (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/end-to-end">end-to-end (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/endeca">endeca (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enghouse-interactive">Enghouse interactive (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enkata">Enkata (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-applications">Enterprise Applications (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-data-strategy">Enterprise Data Strategy (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-messaging-internet-of-things-iot-middle">Enterprise messaging, Internet of Things, IoT, mid (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-profitability-management">enterprise profitability management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-resource-planning">Enterprise Resource Planning (72)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-risk-management">enterprise risk management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-software">Enterprise Software (27)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-spreadsheet">enterprise spreadsheet (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-tax">Enterprise Tax (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterworks">Enterworks (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/environment-management">Environment Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/environmental">Environmental (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/envision">Envision (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/epicor">Epicor (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/epiphany">Epiphany (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/equifax">Equifax (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/equity-research">equity research (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erm">ERM (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erp">ERP (83)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erp-and-continuous-accounting">ERP and Continuous Accounting (150)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/error">error (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/esg">ESG (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/esri">ESRI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/essbase">Essbase (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ethority">eThority (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-data">Event Data (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-discovery">Event discovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-stream">Event Stream (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-stream-processing">Event Stream Processing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-streams">Event Streams (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exacttarget">ExactTarget (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exadata">exadata (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exalytics">Exalytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/excel">Excel (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/excentive">Excentive (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/executive">executive (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expense">expense (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expense-management">expense management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/experience-management">Experience Management (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expert-systems">Expert Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exploration">Exploration (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exploratory-analytics">exploratory analytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/explorium">Explorium (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/extended-close">extended close (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/extended-reality">extended reality (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/external-data-platform">External Data Platform (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exterro">Exterro (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/f-type">F-Type (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fasb">FASB (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fast-close">Fast close (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/feedback">Feedback (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fei">FEI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ferf-ceo">FERF CEO (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/field-service">Field Service (29)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance">finance (53)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-analytics">Finance Analytics (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-cloud">finance cloud (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-financial-applications-financial-close">Finance Financial Applications Financial Close (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-performance-management">Finance Performance Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-transformation">finance transformation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial">financial (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-analytics">financial analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-applications">Financial Applications (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-close">Financial Close (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-governance">Financial Governance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-management">Financial Management (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-model">financial model (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance">Financial Performance (561)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-2">financial performance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-management">Financial Performance Management (237)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM) (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-planning">financial planning (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-regulation">financial regulation (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-reporting">financial reporting (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-risk-management">financial risk management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-services">Financial Services (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-software">financial software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-standards">financial standards (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-statement">financial statement (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-systems">financial systems (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financialforce">FinancialForce (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financialforce-com">FinancialForce.com (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financials">financials (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/five9">Five9 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/flow">flow (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fms">FMS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/for-example-genesys">for example Genesys (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/forecast">Forecast (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/forecasting">forecasting (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fpa">FP&A (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fpm">FPM (83)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fraud">Fraud (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fuel50">Fuel50 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fusion-applications">Fusion Applications (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gaap">GAAP (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gamifiacation">Gamifiacation (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gartner">Gartner (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/genai">GenAI (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/generative-ai">Generative AI (37)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/genesys">Genesys (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/geographic-information-systems">Geographic Information Systems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gis">GIS (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/global-payroll">Global 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href="https://blog.isg-research.net/topic/information-technology">Information Technology (47)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infosphere">InfoSphere (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/initiatives-management">Initiatives Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/initiatives-planning">Initiatives Planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/inkling">inkling (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/innovation-awards">Innovation Awards (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/insights">Insights (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intacct">Intacct (9)</a> </li> <li style="display:none;"> <a 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href="https://blog.isg-research.net/topic/jobscience">Jobscience (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/jobvite">JobVite (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/johnson-controls-panoptix">Johnson Controls Panoptix (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/jonova">Jonova (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/journalism">Journalism (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/json">JSON (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kalido">Kalido (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kana">Kana (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kapow">Kapow (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kapplets">Kapplets (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/karmasphere">Karmasphere (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kenandy">Kenandy (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kenexa">Kenexa (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/key-performance-indicators">Key Performance Indicators (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/key-performance-indictors">Key Performance Indictors (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/kinaxis">Kinaxis (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/knoahsoft">KnoahSoft (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/knopahsoft">KnopahSoft (1)</a> </li> <li 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href="https://blog.isg-research.net/topic/perillon">Perillon (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/personalization">Personalization (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pervasive">Pervasive (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pim">PIM (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pim-product-information-management-sales-marketing">PIM, Product Information Management, Sales, Market (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pipkins">Pipkins (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pitney-bowes">Pitney Bowes (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pivotal-hd">Pivotal HD (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pivotlink">PivotLink (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planmill">PlanMill (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planning">Planning (88)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planview">Planview (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plateau">Plateau (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/platfora">Platfora (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/platform-as-a-service">Platform as a service (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/playbook">Playbook (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plex">Plex (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plunk">Plunk (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/portfolio-management">Portfolio Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/portrait-software">Portrait Software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/potus-department-of-labor-flsa-part-541-overtime-r">POTUS, Department of Labor, FLSA, Part 541, Overti (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/powercenter">PowerCenter (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive">Predictive (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics (203)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-hcm">Predictive HCM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-planning">Predictive Planning (49)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predixion">Predixion (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/price-and-revenue-management">Price and Revenue Management (70)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/price-optimization">Price Optimization (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pricing-and-promotion-management">Pricing and Promotion Management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pricing-management">pricing management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pro">PRO (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/process-management">process management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/process-mining">Process Mining (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/procure-to-pay">Procure-to-Pay (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/procurement">procurement (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/product-experience-management">product experience management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/product-information-management">Product Information Management (90)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/professional-services">Professional Services (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/professional-services-automation">Professional Services Automation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profit-velocity">Profit Velocity (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profitability">Profitability (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profitability-management">profitability management (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-management">Project Management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-planning">Project Planning (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-portfolio-management">Project Portfolio Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projecthelp">ProjectHelp (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projectops">ProjectOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projector">Projector (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/promptbook">Promptbook (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/property-technology">Property Technology (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pros">PROS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pros-pricing">PROS Pricing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/psa">PSA (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/publishing">Publishing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/purchasing">purchasing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/purchasing-sourcing-payments">Purchasing/Sourcing/Payments (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pv-accelerator">PV Accelerator (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pxm">PXM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qad">QAD (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik">Qlik (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-qlik-sense">Qlik Qlik Sense (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-qonnections">Qlik Qonnections (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-analytics-qlik-sense-qlik-business-intelligen">Qlik, Analytics, Qlik Sense, Qlik, Business intell (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qliktech">Qliktech (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlikview">QlikView (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qualtrics">Qualtrics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quantrix">Quantrix (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quinterian">Quinterian (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quotas">Quotas (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qvidian">Qvidian (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/r">R (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ransomware">Ransomware (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rapide">Rapide (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rapidminer">Rapidminer (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rdbms">RDBMS (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/real-estate">real estate (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/real-time">Real-time (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reconciliation">Reconciliation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recovery">Recovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recruiting">Recruiting (41)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recurring-revenue">Recurring Revenue (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/report">report (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reporting">Reporting (78)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reporting-xbrl-ixbrl-document-management">Reporting, XBRL, iXBRL, document management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/research">Research (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/resilience">Resilience (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/responsetek">ResponseTek (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/retail-analytics">Retail Analytics (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue">Revenue (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-and-lease-accounting">revenue and lease accounting (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-management">Revenue Management (33)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-performance">Revenue Performance (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-performance-management">Revenue Performance Management (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-recognition">revenue recognition (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-lease-and-tax-accounting">Revenue, Lease and Tax Accounting (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revolution">Revolution (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revolution-analtyics">Revolution Analtyics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rightnow">RightNow (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rim">RIM (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk">Risk (37)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk-compliance-grc">Risk & Compliance (GRC) (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk-analytics">Risk Analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/riversand">Riversand (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/roambi">Roambi (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-automation">robotic automation (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-finance">robotic finance (38)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-process-automation">Robotic Process Automation (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/roi">ROI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rpa">RPA (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rypple">Rypple (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sop">S&OP (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/saas">SaaS (27)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sab-miller">SAB Miller (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/saba">Saba (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sage">Sage (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sage-software">Sage Software (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales">Sales (169)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-and-operations-planning">Sales and Operations Planning (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-cloud">Sales Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-coaching">Sales Coaching (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-commission">Sales Commission (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-compensation">Sales Compensation (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-effectiveness">Sales Effectiveness (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-enablement">sales enablement (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-enablement-and-execution">Sales Enablement and Execution (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-engagement">Sales Engagement (25)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-force-automation">Sales Force Automation (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-forecasting">Sales Forecasting (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-operations">Sales Operations (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance">Sales Performance (446)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance-management">Sales Performance Management (77)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM) (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-planning">Sales Planning (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-planning-and-analytics">Sales Planning and Analytics (18)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-tax">Sales Tax (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-marketing-sales-performance-management-marke">Sales, Marketing, Sales Performance Management, Ma (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-sfa-spm-sales-performance-management-sales-c">Sales, SFA, SPM, Sales Performance Management, Sal (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/salescloud">SalesCloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/salesforce-com">Salesforce.com (58)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap">SAP (76)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-epm">SAP EPM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-hana">SAP HANA (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-insider">SAP insider (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-lumira">SAP Lumira (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-netweaver">SAP NetWeaver (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-predictive-analytics">SAP predictive analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-teched">SAP TechEd (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sapphire">SAPPHIRE (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sarbanes-oxley">Sarbanes Oxley (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sas">SAS (26)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sas-institute">SAS institute (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sasb">SASB (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sase">SASE (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/savi">Savi (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scm">SCM (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scm-demand-planning">SCM Demand Planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scout-rfp">Scout RFP (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scribe-software">Scribe Software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/search">Search (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sec">SEC (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sec-software">SEC Software (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/secfinops">SecFinOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/secops">SecOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/security">Security (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/security-posture">Security Posture (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sedar">SEDAR (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/self-service">Self-service (41)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/semantic-model">semantic model (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/service-supply-chain">Service & Supply Chain (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/service-cloud">Service Cloud (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/servigistics">Servigistics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sfa">SFA (24)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sfdc">SFDC (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sharepoint">SharePoint (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/shoretel">ShoreTel (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/siemens-enterprise-communications">Siemens Enterprise Communications (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/signal-demand">Signal Demand (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/silverpop">SilverPop (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/simba">Simba (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-financial-close">Smart Financial Close (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-manufacturing">Smart Manufacturing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-phones">Smart Phones (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-watches">Smart Watches (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smarter-analytics">Smarter Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smarter-workforce">Smarter Workforce (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smb">SMB (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/snaplogic">SnapLogic (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/snowfly">Snowfly (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/soa">SOA (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/soc">SOC (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social">Social (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-business">Social Business (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-collaboration">Social Collaboration (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-crm">Social CRM (128)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-dynamx">Social Dynamx (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media">Social Media (365)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media-analytics">Social Media Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media-intelligence">Social Media Intelligence (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-recognition">Social Recognition (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/socialtext">SocialText (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sococare">SoCoCare (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/softscape">Softscape (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/software">Software (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/software-as-a-service">Software as a Service (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sourcing">sourcing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sovereign-cloud">Sovereign Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sox">SOX (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spago-solutions">Spago Solutions (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spatial-data-quality">Spatial Data Quality (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/speech-analytics">Speech Analytics (177)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/splunk">Splunk (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spm">SPM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spotfire">Spotfire (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spreadsheets">Spreadsheets (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spss">SPSS (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sql-h">SQL-H (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sqlstream">SQLstream (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/star-analytics">Star Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/statistics">Statistics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/stibo-systems">Stibo Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/stratahadoop">Strata+Hadoop (56)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-analytics">Streaming Analytics (28)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-data">Streaming Data (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-data-events">Streaming Data & Events (32)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscriber-experience">Subscriber Experience (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-billing">Subscription Billing (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-management">Subscription Management (68)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-recurring-revenue-zuora">Subscription, Recurring Revenue, Zuora (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/successfactors">SuccessFactors (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumo-logic">Sumo Logic (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumtotal">SumTotal (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumtotal-systems">SumTotal Systems (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sungard">Sungard (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sunsystems">Sunsystems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supplier-relationship-management">supplier relationship management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain">Supply Chain (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-management">supply chain management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-performance">Supply Chain Performance (253)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-planning">Supply Chain Planning (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/surface">Surface (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/surveys">Surveys (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability">Sustainability (38)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability-and-esg">Sustainability and ESG (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability-management">Sustainability Management (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/swordciboodle">SwordCiboodle (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase">Sybase (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase-iq">Sybase IQ (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase-mobile-industry">Sybase. 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href="https://blog.isg-research.net/topic/threat-landscape">Threat Landscape (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/threat-management">Threat Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tibco">Tibco (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tidemark">Tidemark (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/time-attendance">Time & Attendance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tm">TM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tm1">TM1 (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/topic">Topic (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/total-compensation-management">Total Compensation Management (46)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/total-rewards-management">total rewards management (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/towers-watson">Towers Watson (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/towers-watson-talent-management">Towers Watson Talent Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/training">Training (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/transcom">Transcom (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/transera">Transera (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/treasury">Treasury (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tribehr">TribeHR (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/trifacta">Trifacta (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/twitter">Twitter (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ucaas">UCaaS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/uda">UDA (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ui">UI (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ukg">UKG (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ultimate">Ultimate (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ultimate-software">Ultimate Software (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/unanet-technologies">Unanet Technologies (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/uncategorized">Uncategorized (103)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/unica">Unica (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/unicorns">Unicorns (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/unified-communications">Unified Communications (83)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/unit4">Unit4 (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/upstream-works">Upstream Works (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/us-gaap">US-GAAP (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/us-gaap-accounting">US-GAAP accounting (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/usability">Usability (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/use-cases">Use Cases (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ux">UX (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/value-index">Value Index (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/value-added-tax">Value-Added Tax (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vantage-platform">Vantage platform (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/varicent">Varicent (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vat">VAT (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vendavo">Vendavo (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vendavo-price-pricing-optimization-revenue-custome">Vendavo, price, pricing, optimization, revenue, cu (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vendor-management-systems">Vendor Management Systems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vendors">Vendor(s) (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/verint">Verint (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/verizon">Verizon (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vertex">Vertex (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vertical-solutions">Vertical Solutions (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vibe">Vibe (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/virtual-audit">virtual audit (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/virtual-close">virtual close (1)</a> </li> <li style="display:none;"> 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a New Spark", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/30/big-data-and-analytics-has-a-new-spark", "datePublished": "29/10/2015", "dateModified": "29/10/2015", "articleBody": "The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using Structured Query Language (SQL). Big data includes large volumes of data that does not fit into rows and columns, such as sensor data, text data and Web log data. Such data must be transformed and modeled before it can fit into paradigms such as SQL. The result is that currently many organizations run separate systems for big data and business intelligence. On one system, conventional BI tools as well as new visual discovery tools act on structured data sources to do fast interactive analysis. In this area analytic databases can use column store approaches and visualization tools as a front end for fast interaction with the data. On other systems, big data is stored in distributed systems such as the Hadoop Distributed File System (HDFS). Tools that use it have been developed to access, process and analyze the data. Commercial distribution companies aligned with the open source Apache Foundation, such as Cloudera, Hortonworks and MapR, have built ecosystems around the MapReduce processing paradigm. MapReduce works well for search-based tasks but not so well for the interactive analytics for which business intelligence systems are known. This situation has created a divide between business technology users, who gravitate to visual discovery tools that provide easily accessible and interactive data exploration, and more technically skilled users of big data tools that require sophisticated access paradigms and elongated query cycles to explore data. There are two challenges with the MapReduce approach. First, working with it is a highly technical endeavor that requires advanced skills. Our big data analytics research shows that lack of skills is the most widespread reason for dissatisfaction with big data analytics, mentioned by more than two-thirds of companies. To fill this gap, vendors of big data technologies should facilitate use of familiar interfaces including query interfaces and programming language interfaces. For example, our research shows that Standard SQL is the most important method for implementing analysis on Hadoop. To deal with this challenge, the distribution companies and others offer SQL abstraction layers on top of HDFS, such as HIVE and Cloudera Impala. Companies that I have written about include Datameer and Platfora, whose systems help users interact with Hadoop data via interactive systems such as spreadsheets and multidimensional cubes. With their familiar interaction paradigms such systems have helped increase adoption of Hadoop and enable more than a few experts to access big data systems. The second challenge is latency. As a batch process MapReduce must sort and aggregate all of the data before creating analytic output. Technology such as Tez, developed by Hortonworks, and Cloudera Impala aim to address such speed limitations; the first leverages MapReduce, and the other circumvents MapReduce altogether. Adoption of these tools has moved the big data market forward, but challenges remain such as the continuing fragmentation of the Hadoop ecosystem and a lack of standardization in approaches. An emerging technology holds promise for bridging the gap between big data and BI in a way that can unify big data ecosystems rather than dividing them. Apache Spark, under development since 2010 at the University of California Berkeley’s AMPLab, addresses both usability and performance concerns for big data. It adds flexibility by running on multiple platforms in terms of both clustering (such as Hadoop YARN and Apache Mesos) and distributed storage (for example, HDFS, Cassandra, Amazon S3 and OpenStack’s Swift). Spark also expands the potential uses because the platform includes an SQL abstraction layer (Spark SQL), a machine learning library (MLlib), a graph library (GraphX) and a near-real-time engine (Spark Streaming). Furthermore, Spark can be programmed using modern languages such as Python and Scala. Having all of these components integrated is important because interactive business intelligence, advanced analytics and operational intelligence on big data all can work without dealing with the complexity of having individual proprietary systems that were necessary to do the same things previously. Because of this potential Spark is becoming a rallying point for providers of big data analytics. It has become the most active Apache project as key open source contributors moved their focus from other Hadoop projects to it. Out of the effort in Berkeley, Databricks was founded for commercial development of open source Apache Spark and has raised more than $46 million. Since the initial release in May 2014 the momentum for Spark has continued to build; major companies have made announcements around Apache Spark. IBM said it will dedicate 3,500 researchers and engineers to develop the platform and help customers deploy it. This is the largest dedicated Spark effort in the industry, akin to the move IBM made in the late 1990s with the Linux open source operating system. Oracle has built Spark into its Big Data Appliance. Microsoft has Spark as an option on its HDInsight big data approach but has also announced Prajna, an alternative approach to Spark. SAP has announced integration with its SAP HANA platform, although it represents “coopetition” for SAP’s in-memory platform. In addition, all the major business intelligence players have built or are building connectors to run on Spark. In time, Spark likely will serve as a data ingestion engine for connecting devices in the Internet of Things (IoT). For instance, Spark can integrate with technologies such as Apache Kafka or Amazon Kinesis to instantly process and analyze IoT data so that immediate action can be taken. In this way, as it is envisioned by its creators, Spark can serve as the nexus of multiple systems. Because it is a flexible in-memory technology for big data, Spark opens the door to many new opportunities, which in business use include interactive analysis, advanced customer analytics, fraud detection, and systems and network management. At the same time, it is not yet a mature technology and for this reason, organizations considering adoption should tread carefully. While Spark may offer better performance and usability, MapReduce is already widely deployed. For those users, it is likely best to maintain the current approach and not fix what is not broken. For future big data use, however, Spark should be carefully compared to other big data technologies. In this case as well as others, technical skills can still be a concern. Scala, for instance, one of the key languages used with Spark, has little adoption, according to our recent research on next-generation predictive analytics. Manageability is an issue as for any other nascent technology and should be carefully addressed up front. While, as noted, vendor support for Spark is becoming apparent, frequent updates to the platform can mean disruption to systems and processes, so examine the processes for these updates. Be sure that vendor support is tied to meaningful business objectives and outcomes. Spark is an exciting new technology, and for early adopters that wish to move forward with it today, both big opportunities and challenges are in store. Regards, Tony Cosentino VP and Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_big_data_analytics_07_dissatisfaction_with_big_data_analytics-3.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Continuous Accounting Enables a Strategic Finance Department", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/30/continuous-accounting-enables-a-strategic-finance-department", "datePublished": "29/10/2015", "dateModified": "29/10/2015", "articleBody": "Many senior finance executives say they want their department to play a more strategic role in the management and operations of their company. They want Finance to shift its focus from processing transactions to higher-value functions in order to make more substantial contributions to the success of the organization. I use the term “continuous accounting” to represent an approach to managing the accounting cycle that can facilitate the shift by improving the performance of the accounting function. Continuous accounting embraces three main principles: Automating mechanical, repetitive accounting processes in a continuous, end-to-end fashion to improve efficiency, ensure data integrity and enhance visibility into processes Distributing workloads continuously over the accounting period (the month, quarter, half-year or year) to eliminate bottlenecks and optimize when tasks are executed Establishing a culture of continuous improvement in managing the accounting cycle. Such a culture regularly sets increasingly rigorous objectives, reviews performance to those objectives and makes addressing shortcomings a departmental priority. Record-to-report is an approach to managing the accounting cycle as a repeatable end-to-end process spanning all of the steps beginning with booking transactions and moving all the way to publishing financial statements; it replaces handling the process as a series of loosely connected procedures. Continuous accounting is an evolutionary step beyond the record-to-report framework. Continuous accounting applies modern finance technology and the more flexible process management techniques it permits to increase both accounting efficiency and finance department effectiveness. It recognizes the need for continuous improvement in managing the accounting function to deal with dynamic business conditions. Continuous accounting is essential to a strategically focused finance organization. In our research on finance innovation, nine out of 10 participants said that it’s important or very important for finance departments to take a strategic role in running their company. Unfortunately there is a significant gap between this objective and how most of them perform. Almost all (83%) companies perform core finance department functions of accounting, fiscal control, transactions management, financial reporting and internal audit, but only 41 percent play an active role in their company’s management. Just 25 percent have implemented a high degree of automation in their core finance functions and actively promote process and analytical excellence. Rather than just automating existing practices to improve efficiency, continuous accounting recognizes that longstanding processes may no longer be the best approach because today’s software offers greater flexibility in how and when elements of the accounting cycle are performed. It provides a foundation that enables the finance and accounting organization to better serve the needs of a modern corporation by being more responsive, forward-looking and agile. Moreover, when used as a concept to define and explain a department-wide change management initiative, continuous accounting can facilitate necessary changes in a department’s culture. As a rule, using software to automate manual tasks improves efficiency and speeds the completion of processes. By eliminating human intervention (and therefore the potential for mistakes and misdeeds), automation can enhance financial control. End-to-end (continuous) process automation is achieved when numbers are entered only once, all calculations and analyses are performed programmatically by the system, and the system manages all workflows. These workflows handle the execution of every step in the same order, enforce approvals and sign-offs and control the roles, rules and responsibilities of those involved in performing the work. End-to-end process automation improves departmental efficiency. For example, we find that most (71%) companies that automate substantially all of their financial close complete the close within six business days of the end of the quarter, compared to 43 percent that automate some of the process and just 23 percent that have automated little or none of it. End-to-end automation enhances financial control and facilitates audit processes by sustaining the integrity of the accounting data. Data integrity is concerned with the accuracy and consistency of data stored in a system. Properly configured, end-to-end automation enforces data integrity, eliminating the need for extra checks and reconciliations that become necessary when there is no single authoritative source of accounting and process-related data. In contrast, processes that incorporate manual steps (such as performing steps in a spreadsheet and then entering the resulting amounts back into the system) make it possible for errors and intentional fraud to enter the system. Today’s financial management software offers flexibility that allows companies to reconsider how and when they perform their work. The monthly, quarterly and semiannual cadences of the accounting cycle are not set in stone. Much of what we think of as “normal” bookkeeping and accounting procedures are rooted in the centuries-old limitations imposed by paper-based systems and manual calculations. Periodic processes (performed, say, monthly or quarterly) developed as the best approach to organizing, coordinating and executing the calculations needed to sum up the debits and credits in journals and ledgers. The cadence of these manual systems represents a trade-off to balance efficiency and control. Their timing is the result of having to wait for sufficient volume of entries to justify taking the time to perform manual summations, adjustments and consolidations, while not waiting so long as to jeopardize financial control. Only recently has technology reached a threshold to support transformation of core finance and accounting processes to allow companies sufficient freedom to easily schedule the timing of their accounting cycle tasks to distribute workloads across the period. The third main principle of continuous improvement is an approach to business process management. It involves ongoing assessments of an organization’s processes and the implementation of changes to improve their efficiency or effectiveness. Continuous improvement works because most often companies must address a set of small issues rather than a single big one to achieve better results. And continuous improvement recognizes that business is not static. As conditions change it’s necessary to adapt and modify processes, policies and procedures. Continuous accounting is an essential discipline for finance organizations that want to play a more central and strategic role in their company. It provides a foundation for finance transformation and thus can separate innovative organizations and leaders from those content with the status quo. Regards, Robert Kugel – SVP Research", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_office_of_finance_05_finance_should_take_strategic_role-4.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Operationalize Predictive Analytics for Significant Business Impact", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/25/operationalize-predictive-analytics-for-significant-business-impact", "datePublished": "24/10/2015", "dateModified": "24/10/2015", "articleBody": "One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs 7%) and middleware (9% vs 2%). This trend is not surprising since operationalizing predictive analytics – that is, building predictive analytics directly into business process workflows – improves companies’ ability to gain competitive advantage: those that deploy predictive analytics within business processes are more likely to say they gain competitive advantage and improve revenue through predictive analytics than those that don’t. In order to understand the shift that is underway, it is important to understand how predictive analytics has historically been executed within organizations. The marketing organization provides a useful example since it is the functional area where organizations most often deploy predictive analytics today. In a typical organization, those doing statistical analysis will export data from various sources into a flat file. (Often IT is responsible for pulling the data from the relational databases and passing it over to the statistician in a flat file format.) Data is cleansed, transformed, and merged so that the analytic data set is in a normalized format. It then is modeled with stand-alone tools and the model is applied to records to yield probability scores. In the case of a churn model, such a probability score represents how likely someone is to defect. For a marketing campaign, a probability score tells the marketer how likely someone is to respond to an offer. These scores are produced for marketers on a periodic basis – usually monthly. Marketers then work on the campaigns informed by these static models and scores until the cycle repeats itself. The challenge presented by this traditional model is that a lot can happen in a month and the heavy reliance on process and people can hinder the organization’s ability to respond quickly to opportunities and threats. This is particularly true in fast-moving consumer categories such as telecommunications or retail. For instance, if a person visits the company’s cancelation policy web page the instant before he or she picks up the phone to cancel the contract, this customer’s churn score will change dramatically and the action that the call center agent should take will need to change as well. Perhaps, for example, that score change should mean that the person is now routed directly to an agent trained to deal with possible defections. But such operational integration requires that the analytic software be integrated with the call agent software and web tracking software in near-real time. Similarly, the models themselves need to be constantly updated to deal with the fast pace of change. For instance, if a telecommunications carrier competitor offers a large rebate to customers to switch service providers, an organization’s churn model can be rendered out of date and should be updated. Our research shows that organizations that constantly update their models gain competitive advantage more often than those that only update them periodically (86% vs 60% average), more often show significant improvement in organizational activities and processes (73% vs 44%), and are more often very satisfied with their predictive analytics (57% vs 23%). Building predictive analytics into business processes is more easily discussed than done; complex business and technical challenges must be addressed. The skills gap that I recently wrote about is a significant barrier to implementing predictive analytics. Making predictive analytics operational requires not only statistical and business skills but technical skills as well. From a technical perspective, one of the biggest challenges for operationalizing predictive analytics is accessing and preparing data which I wrote about. Four out of ten companies say that this is the part of the predictive analytics process where they spend the most time. Choosing the right software is another challenge that I wrote about. Making that choice includes identifying the specific integration points with business intelligence systems, applications, database systems, and middleware. These decisions will depend on how people use the various systems and what areas of the organization are looking to operationalize predictive analytics processes. For those that are willing to take on the challenges of operationalizing predictive analytics the rewards can be significant, including significantly better competitive positioning and new revenue opportunities. Furthermore, once predictive analytics is initially deployed in the organization it snowballs, with more than nine in ten companies going on to increase their use of predictive analytics. Once companies reach that stage, one third of them (32%) say predictive analytics has had a transformational impact and another half (49%) say it provides a significant positive benefits. Regards, Tony Cosentino VP and Research Director, Business Analytics", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_ng_predictive_analytics_12_frequency_of_updating_predictive_models.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Insights from Dreamforce ‘15 Exceeds Expectations", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/17/insights-from-dreamforce-15-exceeds-expectations", "datePublished": "17/10/2015", "dateModified": "17/10/2015", "articleBody": "I recently attended my first U.S. Dreamforce, the annual salesforce.com event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000 attendees, and buses and cabs blocking surrounding streets. I was told it would be busy, and it was – more than 600 conference sessions. I was told it would educational, and it was – I gained many insights into new product developments, both from salesforce and several of its partners. Here are some of the key takeaways for my research practice. The main buzzword for the week was “connected.” Salesforce seems to base its strategy going forward on the assumption that everything will be connected; indeed, it has moved on from speaking of the Internet of Things (IoT) to the “Internet of Everything” and launched its IoT Cloud, which supports connecting any digitally enabled device to all other similar devices and to people online, including customers. It is powered by Salesforce Thunder, an event processing engine that can ingest and analyze event data from billions of devices. Thunder enables companies to collect data from any enabled device, process it and build rules that allow proactive, personalized interactions with customers through the devices of their choice; at last companies can envision reaching the goal of building one-to-one relationships with customers. Another hot topic was usability; in what must have been one of the loudest introductions ever at a trade show, the keynote audience was treated to an introduction to Force and Lightning. This platform supports mobility and provides the basis for a new user interface for all salesforce products. The first capability enables companies to build smart mobile apps to connect with customers through these devices. The second is a new generation of user interface common to all salesforce apps, both easier to use and more appealing to users who rely on smartphones and tablets. The UI has more point-and-click capabilities, better visualization, alerts and views of key information. There is also more capability to customize screens to individual requirements and render these on different devices. Both of these developments will appeal to today’s users and are aimed at increasing adoption of the software by employees and of mobile apps by customers. Another major product announcement was about Wave Analytics. This is the latest version of salesforce’s analytics product designed to ingest various forms and large volumes of customer-related data, whether it be structured (such as ERP and CRM records), unstructured (voice and text) or event data (from digitally enabled devices), analyze it all and produce visualized information in forms suitable for each user. Despite the initial release, not all the functionality is available yet; salesforce still needs to develop capabilities to ingest all the forms of customer data now being generated and to manage identifiers so that companies can know, for example, that phone calls from an identifier are from the same customer who sent a particular text message, posted this comment on social media or used this mobile app. Customer and engagement analytics has become a hot topic lately; if it can deliver on all these features, salesforce can provide users the information and insights they require to carry out their tasks, even if they are away from their desks. I also caught up with five of salesforce’s partners that specialize in contact centers in the cloud: 8x8, Five9, inContact, NewVoiceMedia and Transera. At the core of each of their product suites are capabilities to manage multiple channels of engagement in the cloud and route interactions to the person most able to resolve a customer’s issue. Each has a slightly different focus, and thus capabilities, which I will be analyzing in the coming weeks. I also met with Pitney Bowes, which has entered the customer engagement market, as I have written, with EngageOne Video, its interactive video product. The company also provides data management products, which I believe will become essential as companies try to manage the flood of customer-related data and use it to produce a complete view of the customer. A strong message in salesforce CEO Marc Benioff’s keynote was that the combination of IoT and mobility changes the way businesses do what they do. For example, the ride service Uber was used on several occasions to show how mobile use can transform the ways customer engage with each other and companies, where and how people work, and how we consume services. Another new technology – cloud computing – changes the model by which some companies charge for goods and services from one-off purchases to subscriptions. The most obvious case of this in the consumer market is telecommunications where part of what customers pay is based on rental and usage (calls made). Zuora is a new company has latched on to this change and provides products and services that help companies manage the end-to-end customer life cycle, proactively manage customer engagement, and drive up customer lifetime value throughout the duration of the agreement. Companies considering this model should investigate how Zuora’s software does this. Not every session was purely about software and services; some discussed issues connected with the impact technology has had and will have on the way people live and the way companies run their businesses. One such session was chaired by John Taschek, a salesforce “market strategy expert in cloud computing.” Three speakers discussed how technology has opened up the way tasks are carried out, developments in artificial intelligence and the possible consequence on future work patterns as machines and software automate more tasks. All in one way or another involve IoT and mobility, which open up possibilities not previously imagined. Business models have changed, consumer communication habits have changed and data volumes have exploded, but new analytic techniques allow us to extract insights from complex data, and software-driven machines can automate tasks like never before. There were examples of these at Dreamforce. Is it all perfect? No. Is it complete? No. Do we understand how to use it all? No. But it is certain that the pace of change and innovation is still accelerating, and salesforce and its partners are at the forefront of some of these changes. For those not able to attend Dreamforce ‘15, I recommend you keep track of salesforce and its partners to see how they can help you prosper in this changing world. Regards, Richard J. Snow VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Business Case for Predictive Analytics is Simpler Than You Think", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/17/business-case-for-predictive-analytics-is-simpler-than-you-think", "datePublished": "16/10/2015", "dateModified": "16/10/2015", "articleBody": "Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case presents the reasoning for initiating a project or task. A compelling business case communicates the nature of the proposed project and the arguments, both quantified and unquantifiable, for its deployment. The first steps in creating a business case for predictive analytics are to understand the audience and to communicate with the experts who will be involved in leading the project. Predictive analytics can be transformational in nature and therefore the audience potentially is broad, including many disciplines within the organization. Understand who should be involved in business case creation a list that may include business users, analytics users and IT. Those most often primarily responsible for designing and deploying predictive analytics are data scientists (in 31% of organizations), the business intelligence and data warehouse team (27%), those working in general IT (16%) and line of business analysts (13%), so be sure to involve these groups. Understand the specific value and challenges for each of the constituencies so the business case can represent the interests of these key stakeholders. I discuss the aspects of the business where these groups will see predictive analytics most adding value here and here. For the business case for a predictive analytics deployment to be persuasive, executives also must understand how specifically the deployment will impact their areas of responsibility and what the return on investment will be. For these stakeholders, the argument should be multifaceted. At a high level, the business case should explain why predictive analytics is important and how it fits with and enhances the organization’s overall business plan. Industry benchmark research and relevant case studies can be used to paint a picture of what predictive analytics can do for marketing (48%), operations (44%) and IT (40%), the functions where predictive analytics is used most. A business case should show how predictive analytics relates to other relevant innovation and analytic initiatives in the company. For instance, companies have been spending money on big data, cloud and visualization initiatives where software returns can be more difficult to quantify. Our research into big data analytics and data and analytics in the cloud show that the top benefit for these initiatives are communication and knowledge sharing. Fortunately, the business case for predictive analytics can cite the tangible business benefits our research identified, the most often identified of which are achieving competitive advantage (57%), creating new revenue opportunities (50%), and increasing profitability (46%). But the business case can be made even stronger by noting that predictive analytics can have added value when it is used to leverage other current technology investments. For instance, our big data analytics research shows that the most valuable type of analytics to be applied to big data is predictive analytics. To craft the specifics of the business case, concisely define the business issue that will be addressed. Assess the current environment and offer a gap analysis to show the difference between the current environment and the future environment). Offer a recommended solution, but also offer alternatives. Detail the specific value propositions associated with the change. Create a financial analysis summarizing costs and benefits. Support the analysis with a timeline including roles and responsibilities. Finally, detail the major risk factors and opportunity costs associated with the project. For complex initiatives, break the overall project into a series of shorter projects. If the business case is for a project that will involve substantial work, consider providing separate timelines and deliverables for each phase. Doing so will keep stakeholders both informed and engaged during the time it takes to complete the full project. For large predictive analytics projects, it is important to break out the due-diligence phase and try not to make any hard commitments until that phase is completed. After all, it is difficult to establish defensible budgets and timelines until one knows the complete scope of the project. Ensure that the project time line is realistic and addresses all the key components needed for a successful deployment. In particular with predictive analytics projects, make certain that it reflects a thoughtful approach to data access, data quality and data preparation. We note that four in 10 organizations say that the most time spent in the predictive analytics process is in data preparation and another 22 percent say that they spend the most time accessing data sources. If data issues have not been well thought through, it is next to impossible for the predictive analytics initiative to be successful. Read my recent piece on operationalizing predictive analytics to show how predictive analytics will align with specific business processes. If you are proposing the implementation of new predictive analytics software, highlight the multiple areas of return beyond competitive advantage and revenue benefits. Specifically, new software can have a total lower cost of ownership and generate direct cost savings from improved operating efficiencies. A software deployment also can yield benefits related to people (productivity, insight, fewer errors), management (creativity, speed of response), process (shorter time on task or time to complete) and information (easier access, more timely, accurate and consistent). Create a comprehensive list of the major benefits the software will provide compared to the existing approach, quantifying the impact wherever possible. Detail all major costs of ownership whether the implementation is on-premises or cloud-based: these will include licensing, maintenance, implementation consulting, internal deployment resources, training, hardware and other infrastructure costs. In other words, think broadly about both the costs and the sources of return in building the case for new technology. Also, read my recent piece on procuring predictive analytics software. Understanding the audience, painting the vision, crafting the specific case, outlining areas of return, specifying software, noting risk factors, and being as comprehensive as possible are all part of a successful business plan process. Sometimes, the initial phase is really just a pitch for project funding and there won’t be any dollar allocation until people are convinced that the program will get them what they need. In such situations multiple documents may be required, including a short one- to two-page document that outlines vision and makes a high-level argument for action from the organizational stakeholders. Once a cross functional team and executive support is in place, a more formal assessment and design plan following the principles above will have to be built. Predictive analytics offers significant returns for organizations willing pursue it, but establishing a solid business case is the first step for any organization. Regards, Tony Cosentino VP and Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_ng_predictive_analytics_01_front_office_functions_use_predictive_anal-_.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "ResponseTek Makes Customer Experience Management Simple and Sophisticated", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/09/responsetek-makes-customer-experience-management-simple-and-sophisticated", "datePublished": "08/10/2015", "dateModified": "08/10/2015", "articleBody": "ResponseTek is a software vendor whose platform and services help companies collect and act on feedback from their customers. It supports a closed-loop process that collects feedback, analyzes it, provides customizable reports and analysis dependent on the user, and most importantly enables taking action based on the information. This allows companies to understand product and service issues, customer sentiment, intentions, and likely behaviors, and where necessary ensures the most appropriate actions are taken. The platform consists of six modules. One is (ex)pressRT, which ResponseTek calls as listening module. It enables users to create surveys and render them to customers through any channel. Users can apply existing analyses of customers to personalize surveys, with the aim of making them more relevant and thus more likely to be completed. Users can apply text analytics to information gathered through surveys and social media posts to extract insights such as root causes of interactions and customer sentiment. This allows companies to gather customer feedback through the customer’s channel of choice and ensures users gain insight into a variety of customer-related tasks. Another module, (ex)ploreRT , analyzes data captured by (ex)pressRT and combines it with other customer data to provide real-time reports, dashboards and scorecards showing a comprehensive view of customers and their relationships with the company. All the analysis can be customized down to the individual user level so all users see the information relevant to them and the tasks they are carrying out. Each user also has the ability to drill down from higher-level analysis to the underlying data. This allows user to focus on information important to them and drill down to underlying, supportive information. A third module, (ex)ceedRT focuses on employee performance and the impact employees have on the outcome of interactions. From that analysis it identifies areas in which employees need to improve. It includes capabilities to set actions based on the analysis and to track that such actions are carried out, for example, specific training or coaching the employee should receive and that they take identified training and coaching. This allows companies to personalize training and coaching to address specific employee needs. In contrast (ex)changeRT focuses on the customer. It uses analysis to initiate proactive engagement with customers and allows users to personalize interactions. This allows companies to proactively reach out to and build better relationships with them by showing their voice is being heard and acted upon. The administrative module is (ex)ecuteRT, which provides tools for system administrators to set up, modify and run the system to deliver results required by business users. All five of these modules run on (ex)celeratorRT, a cloud-based platform that provides the environment, logic and common tools to support them. It provides a scalable, configurable, reliable and secure environment so that the system can be set up to suit individual company requirements. Our research into customer feedback management finds that companies face people, process and technology issues with their customer feedback management and voice of the customer programs. From a people perspective, most don’t have sufficient resources to respond to the results of feedback programs (19% said this is their top people issue), 18 percent don’t have processes in place to make best use of the findings, and from a technology perspective, companies neither have the tools to identify the reasons behind customer interactions nor to collect feedback through all channels (35% each). The ResponseTek platform addresses all these issues, and being available in the cloud allows companies of all sizes to take advantage of it. It also allows companies to close the loop and assure customers that their feedback is being listened to and action is being taken based on it; currently only one-third (34%) of companies in our research can always do. Companies that have advanced feedback software and processes said that they have received a variety of benefits, most often improved customer satisfaction and loyalty (65%), improvement in their products and services (45%) and better focused employee training and coaching (44%). It is obvious that there is no point in analyzing data if you don’t take action on the insights from it. The same is equally true of customer feedback management; in fact poorly managed programs encourage customers to stop giving feedback because they feel it is a waste their time; this likely undermines customer satisfaction as well. Regarding employee performance effective analysis of feedback can help guide responses to customers and identify areas in which employees need to improve in handling interactions. Companies that want to gain deep insights into their customers, their feelings and their intentions, and seek to establish excellent customer relationships would do well to put in place a closed-loop voice of the customer program. Those thinking about this should evaluate how ResponseTek can support those efforts. Regards, Richard J. Snow VP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_cfm_benefits_of_capturing_customer_feedback-11.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Cloud-Based Analytics Requires Hybrid Data Access and Integration", "mainEntityOfPage": "https://blog.isg-research.net/2015/10/09/cloud-based-analytics-requires-hybrid-data-access-and-integration", "datePublished": "08/10/2015", "dateModified": "08/10/2015", "articleBody": "As I discussed in the state of data and analytics in the cloud recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed information platform, IT involvement is often necessary. Once that is done, though, using cloud-based data for analytics can help, empowering business users and improving communication and process . To be able to make the best decisions, organizations need access to multiple integrated data sources. The research finds that the most common data sources are predictable: business applications (51%), business intelligence applications (51%), data warehouses or operational data stores (50%), relational databases (41%) and flat files (33%). Increasingly, though, organizations also are including less structured sources such as semistructured documents (33%), social media (27%) and nonrelational database systems (19%). In addition there are important external data sources, including business applications (for 61%), social media data (48%), Internet information (42%), government sources (33%) and market data (29%). Whether stored in the cloud or locally, data must be normalized and combined into a single data set so that analytics can be performed. Given the distributed nature of data sources as well as the diversity of data types, information platforms and integration approaches are changing. While more than three in five companies (61%) still do integration primarily between on-premises systems, significant percentages are now doing integration from the cloud to on-premises (47%) and from on-premises to the cloud (39%). In the future, this trend will become more pronounced. According to our research, 85 percent of companies eventually will integrate cloud data with on-premises sources, and 84 percent will do the reverse. We expect that hybrid architectures, a mix of on-premises and cloud data infrastructures, will prevail in enterprise information architectures for years to come while slowly evolving to equality of bidirectional data transfer between the two types. Further analysis shows that a focus on integrating data for cloud analytics can give organizations competitive advantage. Those who said it is very important to integrate data for cloud-based analytics (42% of participants) also said they are very confident in their ability to use the cloud for analytics (35%); that’s three times more often than those who said integrating data is important (10%) or somewhat important (9%). Those saying that integration is very important also said more often that cloud-based analytics helps their customers, partners and employees in an array of ways, including improved presentation of data and analytics (62% vs. 43% of those who said integration is important or somewhat important), gaining access to many different data sources (57% vs. 49%) and improved data quality and data management (59% vs. 53%). These numbers indicate that organizations that neglect the integration aspects of cloud analytics are likely to be at a disadvantage compared to their peers that make it a priority. Integration for cloud analytics is typically a manual task. In particular, almost half (49%) of organizations in the research use spreadsheets to manage the integration and preparation of cloud-based data. Yet doing so poses serious challenges: 58 percent of those using spreadsheets said it hampers their ability to manage processes efficiently. While traditional methods may suffice for integrating relatively small and well-defined data sets in an on-premises environment, they have limits when dealing with the scale and complexity of cloud-based data. The research also finds that organizations utilizing newer integration tools are satisfied with them more often than those using older tools. More than three-fourths (78%) of those using tools provided by a cloud applications provider said they are satisfied or somewhat satisfied with them, as are even more (86%) of those using data integration tools designed for cloud computing; by comparison, fewer of those using spreadsheets (56%) or traditional enterprise data integration tools (71%) are satisfied. This is not surprising. Modern cloud connectors are designed to connect via loosely coupled interfaces that allow cloud systems to share data in a flexible manner. The research thus suggests that for organizations needing to integrate data from cloud-based data sources, switching to modern integration tools can streamline the process. Overall three-quarters of companies in our research said that it is important or very important to access data from cloud-based sources for analysis. Cloud-based analytics isn’t useful unless the right data can be fed into the analytic process. But without capable tools this is not easy to do. A substantial impediment is that analysts spend the majority of their time in accessing and preparing the data rather than in actual analysis. Complicating the task, each data source can represent a different, possibly complex, data model. Furthermore, the data sets may have varying data formats and interface requirements, which are not easily addressed with legacy integration tools. Such complexity is the new reality, and new tools and approaches have come to market to address these complexities. For organizations looking to integrate their data for cloud-based analytics, we recommend exploring these new integration processes and technologies. Regards, Tony Cosentino Vice President and Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_dac_16_dealing_with_multiple_data_sources.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://blog.isg-research.net/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "blog.isg-research.net", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script>  <script data-hs-allowed="true" src="/_hcms/forms/v2.js"></script> <script data-hs-allowed="true"> var options = { portalId: '2035844', formId: 'fa276fc9-9a16-4673-a644-1fcbedcc3c24', formInstanceId: '4342', pageId: '3884418273', region: 'na1', inlineMessage: "Thanks for subscribing!", rawInlineMessage: "Thanks for subscribing!", hsFormKey: "8d7ed288cc0a53bb606e25858a1b99db", css: '', target: '#hs_form_target_module_1552944263900179', contentType: "listing-page", formsBaseUrl: '/_hcms/forms/', formData: { cssClass: 'hs-form stacked hs-custom-form' } }; 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