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/molecula-earns-ventana-research-13th-digital-innovation-award-for-data">Molecula Earns Ventana Research 13th Digital Innovation Award for Data</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/mark-smith"> Mark Smith </a> on 20 November 2020 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=200&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=100&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 100w, https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=200&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 200w, https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=300&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 300w, https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=400&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 400w, https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=500&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 500w, https://blog.isg-research.net/hs-fs/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png?width=600&name=AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT. </div> <a href="https://blog.isg-research.net/molecula-earns-ventana-research-13th-digital-innovation-award-for-data"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/collaboration">Collaboration</a>, <a href="https://blog.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://blog.isg-research.net/topic/data-lake">Data Lake</a>, <a href="https://blog.isg-research.net/topic/data-preparation">Data Preparation</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/data">Data</a>, <a href="https://blog.isg-research.net/topic/information-management-im">Information Management (IM)</a>, <a href="https://blog.isg-research.net/topic/digital-technology">Digital Technology</a>, <a href="https://blog.isg-research.net/topic/blockchain">blockchain</a>, <a href="https://blog.isg-research.net/topic/conversational-computing">Conversational Computing</a>, <a href="https://blog.isg-research.net/topic/collaborative-computing">collaborative computing</a>, <a href="https://blog.isg-research.net/topic/mobile-computing">mobile computing</a>, <a href="https://blog.isg-research.net/topic/extended-reality">extended reality</a>, <a href="">AI and Machine Learning</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/embedded-data-and-information-builders-summit-2019">Embedded Data and Information Builders Summit 2019</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/david-menninger"> David Menninger </a> on 23 July 2019 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=200&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=100&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=200&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=300&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=400&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=500&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png?width=600&name=AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years. </div> <a href="https://blog.isg-research.net/embedded-data-and-information-builders-summit-2019"> 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/embedded-analytics">embedded analytics</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/data-integration">Data Integration</a>, <a href="https://blog.isg-research.net/topic/data-management">Data Management</a>, <a href="https://blog.isg-research.net/topic/information-builders">Information Builders</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/streaming-data">Streaming Data</a>, <a href="https://blog.isg-research.net/topic/information-builders-summit-2019">Information Builders Summit 2019</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/research-agenda-explores-evolving-world-of-analytics-in-2018-1">Research Agenda Explores Evolving World of Analytics in 2018</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/david-menninger"> David Menninger </a> on 15 February 2018 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=200&name=VR_Info_Optimization_22_Text_v_Maps-1.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=100&name=VR_Info_Optimization_22_Text_v_Maps-1.png 100w, https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=200&name=VR_Info_Optimization_22_Text_v_Maps-1.png 200w, https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=300&name=VR_Info_Optimization_22_Text_v_Maps-1.png 300w, https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=400&name=VR_Info_Optimization_22_Text_v_Maps-1.png 400w, https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=500&name=VR_Info_Optimization_22_Text_v_Maps-1.png 500w, https://blog.isg-research.net/hs-fs/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png?width=600&name=VR_Info_Optimization_22_Text_v_Maps-1.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> We at Ventana Research <a href="https://www.ventanaresearch.com/press-release/ventana-research-unveils-2018-research-agenda-for-business-and-technology-markets" target="_blank">recently published</a> our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our <a href="https://www.ventanaresearch.com/executive_summary/digital_technology/next_generation_predictive_analytics/benchmark">predictive analytics research</a> shows that 57 percent of organizations reported achieving a competitive advantage and half created new revenue opportunities with predictive analytics. Waves of investment in... </div> <a href="https://blog.isg-research.net/research-agenda-explores-evolving-world-of-analytics-in-2018-1"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/machine-learning">Machine Learning</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/collaboration">Collaboration</a>, <a href="https://blog.isg-research.net/topic/internet-of-things">Internet of Things</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/artificial-intelligence">Artificial intelligence</a>, <a href="https://blog.isg-research.net/topic/natural-language-processing">natural language processing</a>, <a href="https://blog.isg-research.net/topic/natural-language-generation">Natural Language Generation</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/choose-your-iot-technologies-wisely-1">Choose Your IoT Technologies Wisely</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/david-menninger"> David Menninger </a> on 03 July 2017 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=200&name=vr_IoT_and_OI_performance_01_overall.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=100&name=vr_IoT_and_OI_performance_01_overall.png 100w, https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=200&name=vr_IoT_and_OI_performance_01_overall.png 200w, https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=300&name=vr_IoT_and_OI_performance_01_overall.png 300w, https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=400&name=vr_IoT_and_OI_performance_01_overall.png 400w, https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=500&name=vr_IoT_and_OI_performance_01_overall.png 500w, https://blog.isg-research.net/hs-fs/hubfs/vr_IoT_and_OI_performance_01_overall.png?width=600&name=vr_IoT_and_OI_performance_01_overall.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> This is my second analyst perspective based on our <a href="//www.ventanaresearch.com/benchmark/internet-of-things" target="_blank">IoT Benchmark Research</a>. In the <a href="https://davidmenninger.ventanaresearch.com/iot-challenges-organization-and-technological-readiness">first</a>, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects. </div> <a href="https://blog.isg-research.net/choose-your-iot-technologies-wisely-1"> 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/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/business-intelligence">Business Intelligence</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/nosql">NoSQL</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/2016/02/08/pardon-the-interruption-industry-veteran-returns-to-ventana-research">Pardon the Interruption: Industry Veteran Returns to Ventana Research</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 07 February 2016 </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_18_big_data_technology_in_use.png?width=200&name=vr_big_data_analytics_18_big_data_technology_in_use.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=100&name=vr_big_data_analytics_18_big_data_technology_in_use.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=200&name=vr_big_data_analytics_18_big_data_technology_in_use.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=300&name=vr_big_data_analytics_18_big_data_technology_in_use.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=400&name=vr_big_data_analytics_18_big_data_technology_in_use.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=500&name=vr_big_data_analytics_18_big_data_technology_in_use.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.png?width=600&name=vr_big_data_analytics_18_big_data_technology_in_use.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see <a href="//davidmenninger.ventanaresearch.com/2016/02/08/research-agenda-using-business-analytics-to-make-the-most-of-data-in-2016/" target="_blank">our 2016 research agenda on Big Data and Information Optimization</a>. I relish... </div> <a href="https://blog.isg-research.net/2016/02/08/pardon-the-interruption-industry-veteran-returns-to-ventana-research"> 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/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/information-management">Information Management</a>, <a href="https://blog.isg-research.net/topic/internet-of-things">Internet of Things</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/unicorns">Unicorns</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/2015/12/03/pentaho-poised-for-exploiting-internet-of-things">Pentaho Poised for Exploiting Internet of Things</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 02 December 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_oi_factors_impeding_ol_implementation.png?width=200&name=vr_oi_factors_impeding_ol_implementation.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=100&name=vr_oi_factors_impeding_ol_implementation.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=200&name=vr_oi_factors_impeding_ol_implementation.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=300&name=vr_oi_factors_impeding_ol_implementation.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=400&name=vr_oi_factors_impeding_ol_implementation.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=500&name=vr_oi_factors_impeding_ol_implementation.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.png?width=600&name=vr_oi_factors_impeding_ol_implementation.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> PentahoWorld 2015, Pentaho’s second annual user conference, held in mid-October, centered on the general availability of release 6.0 of its data integration and analytics platform and its acquisition by Hitachi Data Systems (HDS) earlier this year. Company spokespeople detailed the development of the product in relation to the roadmap laid out in 2014 and outlined plans for its integration with those of HDS and its parent Hitachi. They also discussed Pentaho’s and HDS’s shared intentions... </div> <a href="https://blog.isg-research.net/2015/12/03/pentaho-poised-for-exploiting-internet-of-things"> 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/pentaho">Pentaho</a>, <a href="https://blog.isg-research.net/topic/mobile-technology">Mobile Technology</a>, <a href="https://blog.isg-research.net/topic/wearable-computing">Wearable Computing</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/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://blog.isg-research.net/topic/information-management">Information Management</a>, <a href="https://blog.isg-research.net/topic/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/uncategorized">Uncategorized</a>, <a href="https://blog.isg-research.net/topic/information-optimization">Information Optimization</a>, <a href="https://blog.isg-research.net/topic/risk-compliance-grc">Risk & Compliance (GRC)</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/2015/11/29/iot-invigorates-operational-intelligence">IoT Invigorates Operational Intelligence</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/isg-software-research"> ISG Software Research </a> on 28 November 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_oi_goals_of_using_operational_intelligence_updated.png?width=200&name=vr_oi_goals_of_using_operational_intelligence_updated.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=100&name=vr_oi_goals_of_using_operational_intelligence_updated.png 100w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=200&name=vr_oi_goals_of_using_operational_intelligence_updated.png 200w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=300&name=vr_oi_goals_of_using_operational_intelligence_updated.png 300w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=400&name=vr_oi_goals_of_using_operational_intelligence_updated.png 400w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=500&name=vr_oi_goals_of_using_operational_intelligence_updated.png 500w, https://blog.isg-research.net/hs-fs/hubfs/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.png?width=600&name=vr_oi_goals_of_using_operational_intelligence_updated.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> The emerging Internet of Things (IoT) extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation enables devices designed for it to generate and transmit data about their operations; analytics using this data can facilitate monitoring and a range of automatic functions. </div> <a href="https://blog.isg-research.net/2015/11/29/iot-invigorates-operational-intelligence"> 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/mobile-technology">Mobile Technology</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/iot">IOT</a>, <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence</a>, <a href="https://blog.isg-research.net/topic/uncategorized">Uncategorized</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, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=300&name=Kugel.Robert%20Pic.Circle.png 300w"> <h5 class="analyst_name">Robert Kugel</h5> </a> </div> <div class="span6" style="text-align: center;"> <a href="https://stephenhurrell.isg-research.net"> <img class="analyst_img" style="width: 100px;" src="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png" alt="Stephen Hurrell" width="100" data-constrained="true" caption="false" sizes="(max-width: 100px) 100vw, 100px" srcset="https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=50&name=Hurrell.Stephen%20Pic.Circle.png 50w, https://blog.isg-research.net/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png 100w, 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/archive/2010/06">June 2010 (1)</a> </li> </ul> <a class="filter-expand-link" href="#">see all</a> </div> </div> <div class="block"> <h3>Posts by Topic</h3> <div class="widget-module"> <ul> <li> <a href="https://blog.isg-research.net/topic/10q">10Q (1)</a> </li> <li> <a href="https://blog.isg-research.net/topic/vendor-references">[Vendor references] (2)</a> </li> <li> <a href="https://blog.isg-research.net/topic/absolute-data">Absolute Data (1)</a> </li> <li> <a href="https://blog.isg-research.net/topic/accessibility">Accessibility (1)</a> </li> <li> <a href="https://blog.isg-research.net/topic/accountants">accountants (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/accounting">Accounting (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/accounting-close">accounting close (2)</a> </li> <li style="display:none;"> <a 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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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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 (151)</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 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Payroll (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/globoforce">Globoforce (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/golden-records">Golden Records. (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gooddata">Gooddata (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/google">Google (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/governance">Governance (49)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/governance-risk">Governance & Risk (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/governance-risk-and-compliance">Governance Risk and Compliance (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC) (143)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/grc">GRC (55)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/grc-governance-risk-compliance-risk-management-wat">GRC, governance, risk, compliance, risk management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/green">Green (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/greenplum">Greenplum (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/gui">GUI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hadoop">Hadoop (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hana">HANA (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/harvard-business-review">Harvard Business Review (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hawq">HAWQ (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hcm">HCM (57)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hcm-analytics">HCM Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hcm-systems">HCM Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hcm-hr-hrms-workforce-management-learning-manageme">HCM, HR, HRMS, Workforce Management, Learning Mana (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hdfs">HDFS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hdinsights">HDinsights (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hdp">HDP (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/headcount-planning">headcount planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/healthcare-compliance">Healthcare Compliance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/healthcare-reform">Healthcare Reform (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/heiler">Heiler (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hewlett-packard">Hewlett Packard (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hirevue">HireVue (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hiring">Hiring (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hive">Hive (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hive9-marketing-performance-management">Hive9 Marketing Performance Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hortonworks">Hortonworks (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/hospitality">Hospitality (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/host-analytics">Host 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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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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 (12)</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 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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. Mobile Industry (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/syncsort">Syncsort (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/synygy">Synygy (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tableau">Tableau (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tableau-software">Tableau Software (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tablets">Tablets (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tagetik">Tagetik (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talemetry">Talemetry (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talend">Talend (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talent-acquisition">Talent Acquisition (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talent-generation">Talent Generation (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talent-management">Talent Management (133)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/taleo">Taleo (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/talx">TALX (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tamr">Tamr (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tanner-labs">Tanner Labs (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax">Tax (35)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-compliance">tax compliance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-department">tax department (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-planning">tax planning (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-software">Tax Software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-datawarehouse">Tax-Datawarehouse (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tax-tax-provision-transfer-pricing">tax; tax provision; transfer pricing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tcm">TCM (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/technology">Technology (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/technology-innovation">Technology Innovation (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/technology-innovation-award">Technology Innovation Award (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/technology-spending">Technology Spending (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/technology-vendors">Technology Vendors (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/telephony">Telephony (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/teradata">Teradata (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/teradata-aster">Teradata Aster (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/text-analytics">Text Analytics (182)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/tez">Tez (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/thomson-reuters-multinational">Thomson-Reuters multinational (3)</a> </li> <li style="display:none;"> <a 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;"> <a href="https://blog.isg-research.net/topic/visi">Visi (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vistaar-technologies">Vistaar Technologies (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/visual-insight">Visual Insight (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/visualization">Visualization (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vitria">Vitria (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vivisimo">Vivisimo (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vmware">VMWare (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vocalcom">Vocalcom (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vocalcom-and-zeacom">Vocalcom and Zeacom (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/voice-analytics">Voice Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/voice-automation">voice automation (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/voice-of-the-customer">Voice of the Customer (260)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/voice-of-the-customer-interactive-intelligence">Voice of the Customer Interactive Intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/volly">Volly (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vovici">Vovici (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/vpi">VPI (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/wall-street-journal">Wall Street Journal (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/wan">WAN (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/warehouse-management">warehouse management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/watson">Watson (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/wearable-computing">Wearable Computing (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/webon">Webon (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/wellness">Wellness (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/wfm">WFM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/work-and-resource-management">Work and Resource Management (18)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/work-experience-management">work experience management (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/work-management">Work Management (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workday">Workday (25)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workday-collaboration">Workday Collaboration (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-analytics">Workforce Analytics (57)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-force-optimization">Workforce Force Optimization (44)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-management">Workforce Management (169)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-optimization">Workforce Optimization (29)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-performance">Workforce Performance (387)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-performance-management">Workforce Performance Management (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-planning">Workforce Planning (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workforce-solutions">Workforce Solutions (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/working-capital">Working Capital (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/workplace">Workplace (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/xactly">Xactly (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/xbrl">XBRL (29)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/xml">XML (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/yellowfin">Yellowfin (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zao">Zao (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zeacom">Zeacom (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zilliant">Zilliant (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zoomdata">Zoomdata (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zuora">Zuora (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/zyme-solutions">Zyme Solutions (3)</a> </li> </ul> <a class="filter-expand-link" href="#">see all</a> </div> </div> <h3 style="color: var(--light_blue);padding-top:40px;">Analyst Perspectives Archive</h3> <a class="btn-secondary" 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src="https://static.hsappstatic.net/video-embed/ex/loader.js"></script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Molecula Earns Ventana Research 13th Digital Innovation Award for Data", "mainEntityOfPage": "https://blog.isg-research.net/molecula-earns-ventana-research-13th-digital-innovation-award-for-data", "datePublished": "20/11/2020", "dateModified": "20/11/2020", "articleBody": "The annual Ventana Research Digital Innovation Awards showcases advances in the productivity and potential of business applications, as well as technology that contributes significantly to improved efficiency and productivity in the processes and the performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations that advance business and IT. Ventana Research has awarded Molecula its 2020 Digital Innovation Award for Data. This award acknowledges the technology vendor that best exemplifies innovation in data and associated technologies for supporting information management-related needs. Organizations require dynamic access to data no matter the application or system location. The data phase—from ingestion to monitoring and consumption—must be available for analysis during processing, be it via an on-premises, cloud or hybrid model, to ensure the results set meets specific needs. But in recent years, the consolidation of data has been minimal compared to the market adoption of databases and platforms from Amazon, Google and Microsoft, along with cloud operations from Snowflake and Teradata. To bridge the gap, an organization must apply a range of functions and machine learning to yield data that best represents a variety of use cases. As my colleague has asserted, by 2022, the distinction between data preparation and integration technologies will blur in a way that’s similar to the diminishing distinction between self-service analytics and data preparation. This narrowing divide elevates data virtualization to a range suited for more sophisticated needs, including data scientists and data operations, from anywhere in the enterprise. Molecula is a cloud computing-based data platform that simplifies and unifies the need for real-time access and control of data for analytics, machine learning and any range of compute-intensive systems and applications including IoT. The platform eliminates the need to pre-aggregate, federate, copy, cache or move source data by creating a Virtual Data Source that combines multiple data sets across disparate systems. This allows for direct access by deconstructing data into highly compressed, entity-focused representations to support low latency and less compute requirements. The Virtual Data Source Manager empowers administrators and data engineers to grant, track and control access to virtual data sources for the appropriate users and applications. Data can then be analyzed and queries can be executed across multiple Virtual Data Sources without burdening underlying systems with federated queries. The Molecula platform further streamlines compliance through governance and security to ensure confidence and trust in data infrastructure. The platform also provides a robust plug-in ecosystem with native stack integration with data-related systems. Molecula was selected for its focused innovation on data technology, meeting the modern requirements of organizations and their architecture to support systems across the enterprise. The platform it provides incorporates a unique and distributed processing approach that takes into consideration the sophistication of the data technologies across the cloud computing and on-premises environments. If you have not had a chance to assess Molecula for your organization’s needs, the company and its products are well worth your time to evaluate. Congratulations Molecula for your continued innovation. Regards, Mark Smith", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/AP_MS_Molecula_Earns_Ventana_Research_13th_Digital_Innovation_Award_for_Data.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Mark Smith", "url": "https://blog.isg-research.net/author/mark-smith", "sameAs": "http://www.linkedin.com/in/markallensmith" }, "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": "Embedded Data and Information Builders Summit 2019", "mainEntityOfPage": "https://blog.isg-research.net/embedded-data-and-information-builders-summit-2019", "datePublished": "23/07/2019", "dateModified": "23/07/2019", "articleBody": "Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years. Key news this year focused around the leadership change and platform announcements. On the leadership side, Information Builders is consolidating the analytics and data products under one engineering team, with a focus on ease of everything, building on their success currently with abilities (scalability, reliability, and manageability). On the product side, announcements revolved around data integration and management, with real-time streaming data available via Kafka, and containerization with support for Docker and Kubernates. To see the full breakdown of the event, along with the impact to the market, watch my take below.", "image": { "@type": "ImageObject", "url": "https://research.ventanaresearch.com/hubfs/Images/Twitter_Cards/AP/DM/AP_DM_Embedded_Data_and_Information_Builders_Summit_2019_Social_Graphic-Horizontal.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://blog.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "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": "Research Agenda Explores Evolving World of Analytics in 2018", "mainEntityOfPage": "https://blog.isg-research.net/research-agenda-explores-evolving-world-of-analytics-in-2018-1", "datePublished": "15/02/2018", "dateModified": "15/02/2018", "articleBody": "We at Ventana Research recently published our research agendas for 2018. Analytics and business intelligence are evolving and so is our research on their use across practice areas. Earlier research has shown that analytics can deliver significant value to organizations; for example, our predictive analytics research shows that 57 percent of organizations reported achieving a competitive advantage and half created new revenue opportunities with predictive analytics. Waves of investment in self-service analytics have propelled the market for analytics tools, significantly empowering line-of-business organizations to create their own analytics and set their own analytic priorities. But organizations are also beginning to recognize some of the limitations of current analytics implementations – for self-service, for example. Our Data Preparation Benchmark Research reveals that fewer than half (42%) of organizations are comfortable allowing business users to work with data not prepared by IT. Our research this year will continue to explore both the successes and challenges organizations face as they continue to use analytics and BI. Drilling down into specific ways analytics and BI are evolving, we are seeing more and more natural-language processing (NLP). NLP provides a way to make analytics more accessible because most users have the ability to use the written or spoken word as a user interface. A type of NLP called natural-language generation delivers analytic outputs as narratives rather than charts and tables. I have written about the value of natural-language generation previously. Natural-language query is another type of NLP that enables users to type or speak their queries using conversational language rather than a highly structured syntax. We recently provided an introduction to NLP in this webinar and we’ll be conducting more research on this topic. Organizations can also embed analytics to make them more accessible to end users. Historically, BI and analytics predominantly were delivered via stand-alone technologies separate from the operational systems that generated the data used in the analytical process. As BI platforms have evolved, most vendors have invested in application-programming interfaces that enable programmers to embed analytics within other applications. These applications can be off-the-shelf applications purchased from a vendor or custom-built. Collaboration technologies also make analytics more accessible. Because of the widespread use of social media technologies, people have become comfortable sharing information and commenting on it. Social media has also trained people to rate what is rapidly becoming known as “content” and the systems and services that supply it. This same approach can be applied to analytical content – that is, information derived from analytics – not only delivering it via collaboration streams but rating and commenting on it as well, adding more value and creating more context so information is better understood. Our Analytics and BI Value Index will assess vendor capabilities in the areas of embedded and collaborative analytics. The internet of things (IoT) also continues to influence several aspects of analytics. As more and more devices include data-collection capabilities, organizations have ever-increasing volumes of data that can be used to analyze manufacturing processes, customer interactions and all types of business operations. Our IoT Benchmark Research shows that 46 percent of organizations consider low latency or very low latency essential to their IoT efforts as it enables analysis in real- or near-real-time. These constant streams of data into organizations are intensifying the need for streaming analytics, which we will examine this year as well. But perhaps the most visible change in analytics use is the widespread deployment of artificial-intelligence and machine-learning technologies. I’ve been working in this area for 20 years and this is clearly the greatest penetration of these capabilities I’ve seen in that time. We are researching some of these issues now in our Machine Learning Dynamic Insights. Our prior research has highlighted a shortage of the skilled resources needed to implement these technologies, with 62 percent of organizations citing it as their main reason for dissatisfaction. Machine learning promises to help reduce, but not eliminate, the need for skilled resources. We’ll be studying these issues and more throughout the year. Please download and review our full Analytics research agenda. I invite you to participate in this research as we conduct it during the year. I look forward to sharing the insights we discover and helping your organization apply those insights to its business needs. Regards, David Menninger SVP & Research Director Follow Me on Twitter and Connect with me on LinkedIn.", "image": { "@type": "ImageObject", "url": "https://research.ventanaresearch.com/hubfs/VR_Info_Optimization_22_Text_v_Maps-1.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://blog.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "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": "Choose Your IoT Technologies Wisely", "mainEntityOfPage": "https://blog.isg-research.net/choose-your-iot-technologies-wisely-1", "datePublished": "03/07/2017", "dateModified": "03/07/2017", "articleBody": "This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects. The IoT market has developed unevenly up to now. As part of our benchmark methodology, we use the Ventana Research Performance Index, a research-based evaluation of the performance of organizations in a given market or with respect to a business or IT process. In our IoT research, our analysis suggests that knowledge and interest vary widely. We see nearly equal distribution of organizations at each of four levels of the performance hierarchy. In our Performance Index, we rate 24 percent of organizations that have embraced IoT and operational intelligence as Innovative, but nearly as many are still operating at the lowest Tactical level. One dimension of our performance analysis looks at the technologies organizations are using, and here many organizations are deploying IoT applications with their existing business intelligence (BI) and data warehousing tools. These organizations are achieving some success in their IoT implementations. While this is a great way to get started, the research suggests that organizations can do even better. Specifically, we find that three quarters of organizations are using business intelligence tools as part of their IoT efforts. As a whole, 62 percent of participants said they are satisfied or somewhat satisfied with their applications and tools for IoT process. However, 15 percent of participants are using specialized tools that are distinct from their business intelligence tools, and this latter group reported even higher levels of satisfaction (77%). Those using custom-coded solutions (11%) reported the lowest levels of satisfaction. We also find that many organizations are applying analytics to sensor data in familiar environments such as data warehouses and data marts (30%) and RDBMSs (22%). While these are the two most common platforms, the organizations most satisfied with their ability to capture and correlate events are using more modern technologies such as NoSQL databases, Hadoop and Amazon S3. Some organizations recognize the limitations of using their familiar environments. Nearly one-quarter (23%) of participants reported that their operational BI and data warehousing platforms are inadequate, which leads to difficulty with stream processing, correlation and other analyses. Our research finds significant benefits of IoT deployments. More than half of organizations (56%) aim to identify organizational or revenue-producing improvements with their current or planned deployments. An organization can certainly start down this path with its existing BI and data-warehousing infrastructure and achieve some of the benefits IoT offers. However, we encourage them to consider how and when to move beyond these familiar approaches in order or maximize the value of IoT investments. Let me know if you have had challenges with your IoT technologies and if you are doing an assessment to select the right ones as we can definitely help your efforts. Regards, David Menninger SVP & Research Director Follow Me on Twitter and Connect with me on LinkedIn.", "image": { "@type": "ImageObject", "url": "https://research.ventanaresearch.com/hubfs/vr_IoT_and_OI_performance_01_overall.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://blog.isg-research.net/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "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": "Pardon the Interruption: Industry Veteran Returns to Ventana Research", "mainEntityOfPage": "https://blog.isg-research.net/2016/02/08/pardon-the-interruption-industry-veteran-returns-to-ventana-research", "datePublished": "07/02/2016", "dateModified": "07/02/2016", "articleBody": "Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish the opportunity to conduct primary market research in the form of Ventana’s well-known benchmark research and to help end users and vendors apply the information collected in those studies. Much has happened since I was previously part of the Ventana Research team. One major change is the explosive growth in the use and acceptance of big data. For example, when I conducted the first benchmark research on big data, only 22 percent of participants were using Hadoop in production. Our more recent research shows more than 50 percent growth in the number of respondents using Hadoop in production (which is now 37%). In the area of predictive analytics, another research study from my prior tenure identified a skills shortage. This shortage was identified in several ways. More than four out of five (83%) participants indicated that users did not have enough skills training, and more than half (58%) said they didn’t understand the mathematics needed to produce their own analyses. In the interim the numerous university programs have begun to help address this shortage. A Google search shows that New York University, Columbia, Indiana University, Wesleyan, University of Washington, University of Michigan, University of Rochester and University of Texas San Antonio have created data science programs – and this is just page one of the search results. I anticipate that these will be increasingly popular programs as the rise of big data will continue to drive demand for these skills. For the time being, our more recent study on predictive analytics suggests that these skill shortages still exist with very similar responses of 79 percent and 66 percent, respectively. I’ll be continuing to watch these and other analytics issues noted in our 2016 Business Analytics Research Agenda. We have also seen a sea change in the acceptance of open source software in enterprises. I think it is fair to say that open source helped drive the growth in big data with various projects including Cassandra, Hadoop, MongoDB and Spark enabling organizations to experiment with large volumes of data before making significant license purchases to put those systems into production. The open source momentum is further evidenced by some large vendors taking formerly proprietary, “closed source” technologies and making them open source. Perhaps the biggest example is Microsoft making its .NET technology open source. My former employer Pivotal also converted its data management products, in which it had invested more than 10 years of proprietary development, to open source versions. Another notable change is the growth of interest in the Internet of Things (IoT). Many years ago I considered a position with a vendor that helped organizations manage RFID data. Adoption was slow at the time, in part because of the cost of RFID tags but also because of the cost and challenges of collecting and analyzing very large volumes of data. As big data technologies have grown, so too has interest in IoT. Technologies exist today to make processing such large amounts of data possible in the time frames and at costs that make it practical to consider how instrumentation of devices can be used to enhance business performance. We’ll be undertaking specific research on this topic in 2016: See our Big Data and Information Optimization Research Agenda. If he were alive today, Charles Darwin might have noted the emergence of a new species: the Unicorn, which Wikipedia defines as a startup company, often software-based, whose valuation exceeds US$1 billion. You might wonder how this financial trend impacts our research and the advice we provide. The answer is that such valuations have the potential to alter the behavior of the markets we cover. They provide these startup vendors access to funding great enough to change the competitive landscape. Such investments can put pressure on existing vendors to step up their game. In some cases it can also cause consolidation in the market or even cause certain vendors to exit markets, such as Intel did when it decided to get out of the Hadoop distribution market. At Ventana Research we are ready to help end-user organizations evaluate whether the unicorns are ready for prime time and how their existence might impact their existing software vendors. One way in which we help in this process is with our Ventana Research Value Indexes, which provide fact-based assessments of various software products within a variety of market segments. So I hope you’ll pardon the interruption in our conversation. It’s good to be back, and I am looking forward to working with the entire Ventana Research team to provide research and insights that will help guide your use of technology to improve your business decisions and processes. Regards, David Menninger SVP & Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_big_data_analytics_18_big_data_technology_in_use.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": "Pentaho Poised for Exploiting Internet of Things", "mainEntityOfPage": "https://blog.isg-research.net/2015/12/03/pentaho-poised-for-exploiting-internet-of-things", "datePublished": "02/12/2015", "dateModified": "02/12/2015", "articleBody": "PentahoWorld 2015, Pentaho’s second annual user conference, held in mid-October, centered on the general availability of release 6.0 of its data integration and analytics platform and its acquisition by Hitachi Data Systems (HDS) earlier this year. Company spokespeople detailed the development of the product in relation to the roadmap laid out in 2014 and outlined plans for its integration with those of HDS and its parent Hitachi. They also discussed Pentaho’s and HDS’s shared intentions regarding the Internet of Things (IoT), particularly in telecommunications, healthcare, public infrastructure and IT analytics. Pentaho competes on the basis of what it calls a “streamlined data refinery” that enables a flexible way to access, transform and integrate data and embed and present analytic data sets in usable formats without writing new code. In addition, it integrates a visual analytic workflow interface with a business intelligence front end including customization extensions; this is a differentiator for the company since much of the self-serve analytics market in which it competes is still dominated by separate point products. Pentaho 6 aims to provide manageable and scalable self-service analytics. A key advance in the new version is what Pentaho calls “virtualized data sets” that logically aggregate multiple data sets according to transformations and integration specified by the Pentaho Data Integration (PDI) analytic workflow interface. This virtual approach allows the physical processing to be executed close to the data in various systems such as Hadoop or an RDBMS, which relieves users of the burden of having to continually move data back and forth between the query and the response systems. In this way, logical data sets can be served up for consumption in Pentaho Analytics as well as other front-end interfaces in a timely and flexible manner. One challenge that emerges when accessing multiple integrated and transformed data sets is data lineage. Tracking its lineage is important to establish trust in the data among users by enabling them to ascertain the origin of data prior to transformation and integration. This is particularly useful in regulated industries that may need access to and tracking of source data to prove compliance. This becomes even more complicated with events and completely sourcing them along with the large number of them as found in over a third of organizations in our operational intelligence benchmark research that examined operational centric analytics and business intelligence. Similarly, Pentaho 6 uses Simple Network Management Protocol (SNMP) to deliver application programming interface (API) extensions so that third-party tools can help provide governance lower in the system stack to further enable reliability of data. Our benchmark research consistently shows that manageability of systems is important for user organizations and in particular for big data environments. The flexibility introduced with virtual tables and improvements in Pentaho 6.0 around in-line modeling (a concept I discussed after last year’s event are two critical means to building self-service analytic environments. Marrying various data systems with different data models, sometimes referred to as big data integration, has proven to be a difficult challenge in such environments. Pentaho’s continued focus on big data integration and providing an integration backbone to the many business intelligence tools (in addition to its own) are potential competitive differentiators for the company. While analysts and users prefer integrated tool sets, today’s fragmented analytics market is increasingly dominated by separate tools that prepare data and surface data for consumption. Front-end tools alone cannot automate the big data integration process, which Pentaho PDI can do. Our research into big data integration shows the importance of eliminating manual tasks in this process: 78 percent of companies said it is important or very important to automate their big data integration processes. Pentaho’s ability to integrate with multiple visual analytics tools is important for the company, especially in light of the HDS accounts, which likely have a variety of front-end tools. In addition, the ability to provide an integrated front end can be attractive to independent software vendors, analytics services providers and certain end-user organizations that would like to embed both integration and visualization without having to license multiple products. Going forward, Pentaho is focused on joint opportunities with HDS such as the emerging Internet of Things. Pentaho cites established industrial customers such as Halliburton, Intelligent Mechatonic Systems and Kirchoff Datensysteme Software as reference accounts for IoT. In addition, a conference participant from Caterpillar Marine Asset Intelligence shared how it embeds Pentaho to help analyze and predict equipment failure on maritime equipment. Pentaho’s ability to integrate and analyze multiple data sources is key to delivering business value in each of these environments, but the company also possesses a little-known asset in the Weka machine learning library, which is an integrated part of the product suite. Our research on next-generation predictive analytics finds that Weka is used by 5 percent of organizations, and many of the companies that use it are large or very large, which is Pentaho’s target market. Given the importance of machine learning in the IoT category, it will be interesting to see how Pentaho leverages this asset. Also at the conference, an HDS spokesperson discussed its target markets for IoT or what the company calls “social innovation.” These markets include telecommunications, healthcare, public infrastructure and IT analytics and reflect HDS’s customer base and the core businesses of its parent company Hitachi. Pentaho Data Integration is currently embedded within major customer environments such as Caterpillar, CERN, FINRA, Halliburton, NASDAQ, Sears and Staples, but not all of these companies fit directly into the IoT segments HDS outlined. While Hitachi’s core businesses provide a fertile ground in which grow its business, Pentaho will need to develop integration with the large industrial control systems already in place in those organizations. The integration of Pentaho into HDS is a key priority. The 2,000-strong global sales force of HDS is now incented to sell Pentaho, and it will be important for the reps to include it as they discuss their accounts’ needs. While Pentaho’s portfolio can potentially broaden sales opportunities for HDS, big data software is a more consultative sale than the price-driven hardware and systems that the sales force may be used to. Furthermore, the buying centers, which are shifting from IT to lines of business, can be significantly different based on the type of organization and their objectives. To address this will require significant training within the HDS sales force and with partner consulting channels. The joint sales efforts will be well served by emphasizing the “big data blueprints” developed by Pentaho over the last couple of years and developing of new ones that speak to IoT and the combined capabilities of the two companies. HDS says it will begin to embed Pentaho into its product portfolio but has promised to leave Pentaho’s roadmap intact. This is important because Pentaho has done a good job of listening to its customers and addressing the complexities that exist in big data and open source environments. As the next chapter unfolds, I will be looking at how the company integrates its platform with the HDS portfolio and expands it to deal with the complexities of IoT, which we will be investigating in upcoming benchmark research study. For organizations that need to use large-scale integrated data sets, Pentaho provides one of the most flexible yet mature tools in the market, and they should consider it. The analytics tool provides an integrated and embeddable front end that should be of particular interest to analytics services providers and independent software vendors seeking to make information management and data analytics core capabilities. For existing HDS customers, the Pentaho portfolio will open conversations in new areas of those organizations and potentially add considerable value within accounts. Regards, Tony Cosentino VP and Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_oi_factors_impeding_ol_implementation.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": "IoT Invigorates Operational Intelligence", "mainEntityOfPage": "https://blog.isg-research.net/2015/11/29/iot-invigorates-operational-intelligence", "datePublished": "28/11/2015", "dateModified": "28/11/2015", "articleBody": "The emerging Internet of Things (IoT) extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation enables devices designed for it to generate and transmit data about their operations; analytics using this data can facilitate monitoring and a range of automatic functions. To perform these functions IoT requires what Ventana Research calls Operational Intelligence (OI), a discipline that has evolved from the capture and analysis of instrumentation, networking and machine-to-machine interactions of many types. We define operational intelligence as a set of event-centered information and analytic processes operating across an organization that enable people to use that event information to take effective actions and make optimal decisions. Our benchmark research into Operational Intelligence shows that organizations most often want to use such event-centric architectures for defining metrics (37%) and assigning thresholds for alerts (35%) and for more action-oriented processes of sending notifications to users (33%) and linking events to activities (27%). In many industries, organizations can gain competitive advantage if they can reduce the elapsed time between an event occurring and actions taken or decisions made in response to it. Existing business intelligence (BI) tools provide useful analysis of and reporting on data drawn from previously recorded transactions, but to improve competitiveness and maximize efficiencies organizations are concluding that employees and processes – in IT, business operations and front-line customer sales, service and support – also need to be able to detect and respond to events as they happen. Our research into big data integration shows that nearly one in four companies currently integrate data into big data stores in real time. The challenge is to go further and act upon both the data that is stored and the data that is streaming in a timely manner. The evolution of operational intelligence, especially in conjunction with IoT, is encouraging companies to revisit their priorities and spending for information technology and application management. However, sorting out the range of options poses a challenge for both business and IT leaders. Some see potential value in expanding their network infrastructure to support OI. Others are implementing event processing (EP) systems that employ new technology to detect meaningful patterns, anomalies and relationships among events. Increasingly, organizations are using dashboards, visualization and modeling to notify nontechnical people of events and enable them to understand their significance and take appropriate and immediate action. As with any innovation, using OI for IoT may require substantial changes. These are among the challenges organizations face as they consider adopting operational intelligence: They find it difficult to evaluate the business value of enabling real-time sensing of data and event streams using identification tags, agents and other systems embedded not only in physical locations like warehouses but also in business processes, networks, mobile devices, data appliances and other technologies. They lack an IT architecture that can support and integrate these systems as the volume and frequency of information increase. They are uncertain how to set reasonable business and IT expectations, priorities and implementation plans for important technologies that may conflict or overlap. These can include business intelligence, event processing, business process management, rules management, network upgrades and new or modified applications and databases. They don’t understand how to create a personalized user experience that enables nontechnical employees in different roles to monitor data or event streams, identify significant changes, quickly understand the correlation between events and develop a context in which to determine the right decisions or actions to take. Ventana Research has announced new benchmark research on The Internet of Things and Operational Intelligence that will identify trends and best practices associated with this technology and these processes. It will explore organizations’ experiences with initiatives related to events and data and with attempts to align IT projects, resources and spending with new business objectives that demand real-time intelligence and event-driven architectures. The research will investigate how organizations are increasing their responsiveness to events by rebalancing the roles of networks, applications and databases to reduce latency; it also will explore ways in which they are using sensor data and alerts to anticipate problematic events. We will benchmark the performance of organizations’ implementations, including IoT, event stream processing, event and activity monitoring, alerting, event modeling and workflow, and process and rules management. As operational intelligence evolves as the core of IoT platforms, it is an important time to take a closer look at this emerging opportunity and challenge. For those interested in learning more or becoming involved in this upcoming research, please let me know. Regards, Tony Cosentino VP and Research Director", "image": { "@type": "ImageObject", "url": "http://cdn2.hubspot.net/hubfs/2035844/Imported_Blog_Media/vr_oi_goals_of_using_operational_intelligence_updated.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: '5960', pageId: '3884418273', region: 'na1', inlineMessage: "Thanks for subscribing!", rawInlineMessage: "Thanks for subscribing!", hsFormKey: "daadfc7672048786293dbe53796bbfa2", 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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ISG Software Research Analyst Perspectives | IOT