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/the-mission-of-human-capital-management-for-2018-1">The Mission of Human Capital Management for 2018</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 February 2018 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg" width="200" !important: srcset="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=100&name=shutterstock_314838419-1.jpg 100w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg 200w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=300&name=shutterstock_314838419-1.jpg 300w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=400&name=shutterstock_314838419-1.jpg 400w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=500&name=shutterstock_314838419-1.jpg 500w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=600&name=shutterstock_314838419-1.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> The HCM software market continues to evolve at an unprecedented pace. The innovations we’re seeing are exciting new features and capabilities, but many have more profound impacts: They provide organizations with more effective ways to serve their customers and enhance their experience. HR’s customers –employees, managers, retirees, candidates, leadership and external partners – can now access and take advantage of native mobile apps, virtual agents and chatbots (via text or voice) as well as... </div> <a href="https://blog.isg-research.net/the-mission-of-human-capital-management-for-2018-1"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/human-capital-management">Human Capital Management</a>, <a href="https://blog.isg-research.net/topic/employee-engagement">Employee Engagement</a>, <a href="https://blog.isg-research.net/topic/employee-productivity">Employee Productivity</a>, <a href="https://blog.isg-research.net/topic/hr-technology">HR technology</a>, <a href="https://blog.isg-research.net/topic/hcm-systems">HCM Systems</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/make-data-and-information-management-work-for-you-in-2018-1">Make Data and Information Management Work for You in 2018</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/david-menninger"> David Menninger </a> on 23 February 2018 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=200&name=vr_DataPrep_01_Importance_of_DataPrep.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=100&name=vr_DataPrep_01_Importance_of_DataPrep.png 100w, https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=200&name=vr_DataPrep_01_Importance_of_DataPrep.png 200w, https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=300&name=vr_DataPrep_01_Importance_of_DataPrep.png 300w, https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=400&name=vr_DataPrep_01_Importance_of_DataPrep.png 400w, https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=500&name=vr_DataPrep_01_Importance_of_DataPrep.png 500w, https://blog.isg-research.net/hs-fs/hubfs/vr_DataPrep_01_Importance_of_DataPrep.png?width=600&name=vr_DataPrep_01_Importance_of_DataPrep.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> We at Ventana Research recently published <a href="https://www.ventanaresearch.com/press-release/ventana-research-unveils-2018-research-agenda-for-business-and-technology-markets" rel=" noopener" target="_blank">our research agendas for 2018</a>. The world of data and information management continues to evolve, as does our research on the use of these technologies to improve your organization’s operations. Relational databases are no longer the only viable enterprise data store as more organizations adopt a polyglot database infrastructure. And while their exact form may still be changing, as I have <a href="https://davidmenninger.ventanaresearch.com/is-hadoop-disappearing">recently written</a>, big data technologies are here to stay. Our <a href="https://www.ventanaresearch.com/DataAndAnalyticsInTheCloud/">Data...</a> </div> <a href="https://blog.isg-research.net/make-data-and-information-management-work-for-you-in-2018-1"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/data-governance">Data Governance</a>, <a href="https://blog.isg-research.net/topic/information-management">Information Management</a>, <a href="https://blog.isg-research.net/topic/data">Data</a>, <a href="https://blog.isg-research.net/topic/blockchain">blockchain</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/self-describing-data-powers-b2b-blockchain-distributed-ledgers">Self-Describing Data Powers B2B Blockchain Distributed Ledgers</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/robert-kugel"> Robert Kugel </a> on 15 February 2018 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg" width="200" !important: srcset="//blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=100&name=shutterstock_314838419-1.jpg 100w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=200&name=shutterstock_314838419-1.jpg 200w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=300&name=shutterstock_314838419-1.jpg 300w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=400&name=shutterstock_314838419-1.jpg 400w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=500&name=shutterstock_314838419-1.jpg 500w, //blog.isg-research.net/hs-fs/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg?width=600&name=shutterstock_314838419-1.jpg 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its... </div> <a href="https://blog.isg-research.net/self-describing-data-powers-b2b-blockchain-distributed-ledgers"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/planning">Planning</a>, <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://blog.isg-research.net/topic/forecast">Forecast</a>, <a href="https://blog.isg-research.net/topic/fpa">FP&A</a>, <a href="https://blog.isg-research.net/topic/machine-learning">Machine Learning</a>, <a href="https://blog.isg-research.net/topic/reporting">Reporting</a>, <a href="https://blog.isg-research.net/topic/budget">budget</a>, <a href="https://blog.isg-research.net/topic/budgeting">Budgeting</a>, <a href="https://blog.isg-research.net/topic/continuous-planning">Continuous Planning</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/data-management">Data Management</a>, <a href="https://blog.isg-research.net/topic/cognitive-computing">Cognitive Computing</a>, <a href="https://blog.isg-research.net/topic/integrated-business-planning">Integrated Business Planning</a>, <a href="https://blog.isg-research.net/topic/ai">AI</a>, <a href="https://blog.isg-research.net/topic/forecasting">forecasting</a>, <a href="https://blog.isg-research.net/topic/consolidating">consolidating</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/predictive-finance-organizations-are-more-valuable-1">Predictive Finance Organizations Are More Valuable</a></h2> <div class="author-meta"> Posted by <a href="https://blog.isg-research.net/author/robert-kugel"> Robert Kugel </a> on 12 February 2018 </div> <hr>  </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=200&name=vr_NGBP_02_integrated_planning_works_better_update-7.png" width="200" !important: srcset="https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=100&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 100w, https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=200&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 200w, https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=300&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 300w, https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=400&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 400w, https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=500&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 500w, https://blog.isg-research.net/hs-fs/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png?width=600&name=vr_NGBP_02_integrated_planning_works_better_update-7.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in... </div> <a href="https://blog.isg-research.net/predictive-finance-organizations-are-more-valuable-1"> Read More </a> Topics: <a href="https://blog.isg-research.net/topic/planning">Planning</a>, <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://blog.isg-research.net/topic/forecast">Forecast</a>, <a href="https://blog.isg-research.net/topic/fpa">FP&A</a>, <a href="https://blog.isg-research.net/topic/machine-learning">Machine Learning</a>, <a href="https://blog.isg-research.net/topic/reporting">Reporting</a>, <a href="https://blog.isg-research.net/topic/budget">budget</a>, <a href="https://blog.isg-research.net/topic/budgeting">Budgeting</a>, <a href="https://blog.isg-research.net/topic/continuous-planning">Continuous Planning</a>, <a href="https://blog.isg-research.net/topic/analytics">Analytics</a>, <a href="https://blog.isg-research.net/topic/data-management">Data Management</a>, <a href="https://blog.isg-research.net/topic/cognitive-computing">Cognitive Computing</a>, <a href="https://blog.isg-research.net/topic/integrated-business-planning">Integrated Business Planning</a>, <a href="https://blog.isg-research.net/topic/ai">AI</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/topic/cio">CIO (112)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cio-callenges">cio callenges (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cirro">Cirro (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cisco">Cisco (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ciso">CISO (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clarabridge">Clarabridge (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clarity-systems">Clarity Systems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/clickfox">Clickfox (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/close">close (43)</a> </li> <li style="display:none;"> <a 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href="https://blog.isg-research.net/topic/customer-journey-maps">Customer Journey Maps (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-life-cycle">customer life cycle (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-performance">Customer Performance (109)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-relationship-management">Customer Relationship Management (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-service">Customer Service (289)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/customer-service-and-support">customer service and support (20)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cxm">CXM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/cybersecurity">Cybersecurity (5)</a> </li> <li 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Discovery (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-fabric">data fabric (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-governance">Data Governance (155)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-integration">Data Integration (82)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-integrity">data integrity (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-intelligence">Data Intelligence (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-lake">Data Lake (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-lakes">data lakes (43)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-management">Data Management (88)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-mart">data mart (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-mining">Data Mining (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-observability">Data Observability (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-operations">data operations (101)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-ops">Data Ops (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-orchestration">Data Orchestration (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-pipelines">Data Pipelines (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-platforms">data platforms (45)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-preparation">Data 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href="https://blog.isg-research.net/topic/data-visualization">Data Visualization (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-viz">data viz (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/data-warehousing">Data Warehousing (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database">Database (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database-as-a-service">Database as a Service (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/database-com">database.com (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/datameer">Datameer (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dataops">dataops (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dataprep">DataPrep (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/datawatch">Datawatch (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dayforce">dayforce (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ddi">DDI (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/debt">debt (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision">decision (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-hub">Decision Hub (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-intelligence">Decision Intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decision-management">Decision Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/decusoft">Decusoft (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/deep-learning">Deep Learning (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dell">Dell (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dell-boomi">Dell Boomi (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-chain">Demand Chain (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-generation">Demand Generation (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-management">demand management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/demand-planning">Demand Planning (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/design">design (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/designed-data">designed data 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href="https://blog.isg-research.net/topic/digital-marketing">Digital Marketing (28)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-operations">Digital Operations (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-publishing">Digital Publishing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-security">Digital Security (23)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-technology">Digital Technology (292)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/digital-transformation">Digital transformation (20)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/direct-data-mapping">Direct Data Mapping (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/disaster-recovery">Disaster Recovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery">Discovery (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery-analytics">discovery analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/discovery-tools">discovery tools (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/distribution">distribution (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dns">DNS (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/document-management">Document Management (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/dodd-frank">Dodd-Frank (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/domestic-payroll">Domestic Payroll (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/domo">Domo 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href="https://blog.isg-research.net/topic/dynamics-nav-dynamics-sl">Dynamics NAV Dynamics SL (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/e-discovery">e-discovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/echopass">Echopass (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eclipse">Eclipse (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/edi">EDI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ediscovery">eDiscovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/editorial">Editorial (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/effectiveness">effectiveness (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eg-solutions">eg Solutions (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/elasticube">elasticube (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/eloqua">Eloqua (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/embedded-analytics">embedded analytics (95)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/emc">EMC (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-engagement">Employee Engagement (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-experience">employee experience (47)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-onboarding">Employee Onboarding (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/employee-productivity">Employee Productivity (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/empower">Empower (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/end-to-end">end-to-end (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/endeca">endeca (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enghouse-interactive">Enghouse interactive (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enkata">Enkata (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-applications">Enterprise Applications (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-data-strategy">Enterprise Data Strategy (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-messaging-internet-of-things-iot-middle">Enterprise messaging, Internet of Things, IoT, mid (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-profitability-management">enterprise profitability management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-resource-planning">Enterprise Resource Planning (72)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-risk-management">enterprise risk management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-software">Enterprise Software (27)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-spreadsheet">enterprise spreadsheet (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterprise-tax">Enterprise Tax (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/enterworks">Enterworks (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/environment-management">Environment Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/environmental">Environmental (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/envision">Envision (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/epicor">Epicor (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/epiphany">Epiphany (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/equifax">Equifax (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/equity-research">equity research (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erm">ERM (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erp">ERP (83)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/erp-and-continuous-accounting">ERP and Continuous Accounting (150)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/error">error (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/esg">ESG (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/esri">ESRI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/essbase">Essbase (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ethority">eThority (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-data">Event Data (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-discovery">Event discovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-stream">Event Stream (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-stream-processing">Event Stream Processing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/event-streams">Event Streams (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exacttarget">ExactTarget (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exadata">exadata (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exalytics">Exalytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/excel">Excel (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/excentive">Excentive (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/executive">executive (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expense">expense (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expense-management">expense management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/experience-management">Experience Management (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/expert-systems">Expert Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exploration">Exploration (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exploratory-analytics">exploratory analytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/explorium">Explorium (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/extended-close">extended close (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/extended-reality">extended reality (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/external-data-platform">External Data Platform (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/exterro">Exterro (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/f-type">F-Type (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fasb">FASB (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fast-close">Fast close (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/feedback">Feedback (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fei">FEI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ferf-ceo">FERF CEO (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/field-service">Field Service (29)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance">finance (53)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-analytics">Finance Analytics (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-cloud">finance cloud (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-financial-applications-financial-close">Finance Financial Applications Financial Close (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-performance-management">Finance Performance Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/finance-transformation">finance transformation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial">financial (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-analytics">financial analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-applications">Financial Applications (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-close">Financial Close (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-governance">Financial Governance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-management">Financial Management (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-model">financial model (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance">Financial Performance (561)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-2">financial performance (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-management">Financial Performance Management (237)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-performance-management-fpm">Financial Performance Management (FPM) (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-planning">financial planning (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-regulation">financial regulation (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-reporting">financial reporting (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-risk-management">financial risk management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-services">Financial Services (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-software">financial software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-standards">financial standards (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-statement">financial statement (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financial-systems">financial systems (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financialforce">FinancialForce (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financialforce-com">FinancialForce.com (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/financials">financials (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/five9">Five9 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/flow">flow (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fms">FMS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/for-example-genesys">for example Genesys (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/forecast">Forecast (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/forecasting">forecasting (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fpa">FP&A (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fpm">FPM (83)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fraud">Fraud (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fuel50">Fuel50 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/fusion-applications">Fusion 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(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, 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href="https://blog.isg-research.net/topic/iac">IaC (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/iasb">IASB (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm">IBM (73)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm-business-analytics">IBM Business Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm-db2">IBM DB2 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm-predictive-customer-intelligence">IBM Predictive Customer Intelligence (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm-spss">IBM SPSS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibm-watson">IBM Watson (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ibp">IBP (4)</a> </li> <li style="display:none;"> <a 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href="https://blog.isg-research.net/topic/influencers">Influencers (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infodiscovery">InfoDiscovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infomgt-location">InfoMgt; Location (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infopia">InfoPia (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infor">Infor (31)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infor-birst">Infor Birst (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/informatica">Informatica (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/informatica-cloud">Informatica Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/informatica-hparser">Informatica HParser (1)</a> </li> <li 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href="https://blog.isg-research.net/topic/information-builders-summit-2019">Information Builders Summit 2019 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-discovery">Information Discovery (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-life-cycle-management">Information Life Cycle Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-management">Information Management (381)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-management-im">Information Management (IM) (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-optimization">Information Optimization (52)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-platform">Information Platform (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/information-technology">Information Technology (47)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/infosphere">InfoSphere (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/initiatives-management">Initiatives Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/initiatives-planning">Initiatives Planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/inkling">inkling (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/innovation-awards">Innovation Awards (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/insights">Insights (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intacct">Intacct (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/integrated-business-planning">Integrated Business Planning (38)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-automation">Intelligent Automation (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-cx">Intelligent CX (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-marketing">intelligent marketing (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-memory">Intelligent Memory (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-sales">intelligent sales (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/intelligent-self-service">Intelligent Self-Service (22)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/interactions">Interactions (1)</a> </li> 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href="https://blog.isg-research.net/topic/office-of-finance">Office of Finance (504)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/office-of-revenue">Office of Revenue (39)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/office-of-sales">Office of Sales (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/olap">OLAP (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/omnichannel">Omnichannel (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/omnichannel-commerce-digital-kdigital">Omnichannel, Commerce, Digital kDigital (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/on24">On24 (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/onboarding">Onboarding (1)</a> </li> <li style="display:none;"> <a 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href="https://blog.isg-research.net/topic/openworld">OpenWorld (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/opera-solutions">Opera Solutions (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-data-platforms">operational data platforms (39)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-intelligence">Operational Intelligence (180)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-management">Operational Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-performance">Operational Performance (696)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-performance-management-opm">Operational Performance Management (OPM) (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operational-planning">Operational Planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operations">Operations (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/operations-supply-chain">Operations & Supply Chain (90)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/oracle">Oracle (78)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/oracle-cloud">Oracle Cloud (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/oracle-fusion-hcm">Oracle Fusion HCM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/orcaeyes">OrcaEyes (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/orchestration">Orchestration (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/order-management">Order Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/order-to-cash">Order-to-Cash (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/overall-operational-leadership">Overall Operational Leadership (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/oversight-systems">Oversight Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/overtone">Overtone (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/paas">PaaS (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/panopticon">Panopticon (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/paraccel">Paraccel (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pardot">Pardot (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/partner-experience">Partner Experience (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/partner-management">partner management (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/patersons">Patersons (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/paxata">Paxata (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pay-equity">Pay Equity (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pay-for-performance">Pay for Performance (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/payroll-management">Payroll Management (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/payroll-optimization">Payroll Optimization (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pdi">PDI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pentaho">Pentaho (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/people-analytics">People Analytics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/people-cloud">People Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/peoplefluent">Peoplefluent (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/peoplesoft">PeopleSoft (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/performance">Performance (30)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/performance-analytics">Performance Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/performance-management">Performance Management (89)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/perillon">Perillon (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/personalization">Personalization (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pervasive">Pervasive (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pim">PIM (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pim-product-information-management-sales-marketing">PIM, Product Information Management, Sales, Market (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pipkins">Pipkins (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pitney-bowes">Pitney Bowes (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pivotal-hd">Pivotal HD (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pivotlink">PivotLink (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planmill">PlanMill (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planning">Planning (88)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/planview">Planview (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plateau">Plateau (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/platfora">Platfora (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/platform-as-a-service">Platform as a service (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/playbook">Playbook (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plex">Plex (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/plunk">Plunk (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/portfolio-management">Portfolio Management (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/portrait-software">Portrait Software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/potus-department-of-labor-flsa-part-541-overtime-r">POTUS, Department of Labor, FLSA, Part 541, Overti (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/powercenter">PowerCenter (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive">Predictive (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-analytics">Predictive Analytics (203)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-hcm">Predictive HCM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predictive-planning">Predictive Planning (49)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/predixion">Predixion (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/price-and-revenue-management">Price and Revenue Management (70)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/price-optimization">Price Optimization (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pricing-and-promotion-management">Pricing and Promotion Management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pricing-management">pricing management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pro">PRO (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/process-management">process management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/process-mining">Process Mining (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/procure-to-pay">Procure-to-Pay (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/procurement">procurement (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/product-experience-management">product experience management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/product-information-management">Product Information Management (90)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/professional-services">Professional Services (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/professional-services-automation">Professional Services Automation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profit-velocity">Profit Velocity (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profitability">Profitability (14)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/profitability-management">profitability management (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-management">Project Management (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-planning">Project Planning (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/project-portfolio-management">Project Portfolio Management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projecthelp">ProjectHelp (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projectops">ProjectOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/projector">Projector (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/promptbook">Promptbook (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/property-technology">Property Technology (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pros">PROS (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pros-pricing">PROS Pricing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/psa">PSA (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/publishing">Publishing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/purchasing">purchasing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/purchasing-sourcing-payments">Purchasing/Sourcing/Payments (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pv-accelerator">PV Accelerator (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/pxm">PXM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qad">QAD (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik">Qlik (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-qlik-sense">Qlik Qlik Sense (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-qonnections">Qlik Qonnections (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlik-analytics-qlik-sense-qlik-business-intelligen">Qlik, Analytics, Qlik Sense, Qlik, Business intell (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qliktech">Qliktech (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qlikview">QlikView (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qualtrics">Qualtrics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quantrix">Quantrix (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quinterian">Quinterian (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/quotas">Quotas (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/qvidian">Qvidian (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/r">R (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/ransomware">Ransomware (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rapide">Rapide (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rapidminer">Rapidminer (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rdbms">RDBMS (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/real-estate">real estate (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/real-time">Real-time (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reconciliation">Reconciliation (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recovery">Recovery (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recruiting">Recruiting (41)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/recurring-revenue">Recurring Revenue (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/report">report (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reporting">Reporting (78)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/reporting-xbrl-ixbrl-document-management">Reporting, XBRL, iXBRL, document management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/research">Research (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/resilience">Resilience (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/responsetek">ResponseTek (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/retail-analytics">Retail Analytics (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue">Revenue (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-and-lease-accounting">revenue and lease accounting (15)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-management">Revenue Management (33)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-performance">Revenue Performance (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-performance-management">Revenue Performance Management (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-recognition">revenue recognition (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revenue-lease-and-tax-accounting">Revenue, Lease and Tax Accounting (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revolution">Revolution (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/revolution-analtyics">Revolution Analtyics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rightnow">RightNow (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rim">RIM (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk">Risk (37)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk-compliance-grc">Risk & Compliance (GRC) (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/risk-analytics">Risk Analytics (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/riversand">Riversand (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/roambi">Roambi (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-automation">robotic automation (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-finance">robotic finance (38)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/robotic-process-automation">Robotic Process Automation (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/roi">ROI (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rpa">RPA (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/rypple">Rypple (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sop">S&OP (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/saas">SaaS (27)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sab-miller">SAB Miller (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/saba">Saba (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sage">Sage (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sage-software">Sage Software (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales">Sales (169)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-and-operations-planning">Sales and Operations Planning (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-cloud">Sales Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-coaching">Sales Coaching (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-commission">Sales Commission (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-compensation">Sales Compensation (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-effectiveness">Sales Effectiveness (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-enablement">sales enablement (16)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-enablement-and-execution">Sales Enablement and Execution (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-engagement">Sales Engagement (25)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-force-automation">Sales Force Automation (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-forecasting">Sales Forecasting (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-operations">Sales Operations (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance">Sales Performance (446)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance-management">Sales Performance Management (77)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-performance-management-spm">Sales Performance Management (SPM) (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-planning">Sales Planning (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-planning-and-analytics">Sales Planning and Analytics (18)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-tax">Sales Tax (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-marketing-sales-performance-management-marke">Sales, Marketing, Sales Performance Management, Ma (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sales-sfa-spm-sales-performance-management-sales-c">Sales, SFA, SPM, Sales Performance Management, Sal (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/salescloud">SalesCloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/salesforce-com">Salesforce.com (58)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap">SAP (76)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-epm">SAP EPM (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-hana">SAP HANA (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-insider">SAP insider (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-lumira">SAP Lumira (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-netweaver">SAP NetWeaver (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-predictive-analytics">SAP predictive analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sap-teched">SAP TechEd (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sapphire">SAPPHIRE (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sarbanes-oxley">Sarbanes Oxley (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sas">SAS (26)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sas-institute">SAS institute (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sasb">SASB (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sase">SASE (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/savi">Savi (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scm">SCM (6)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scm-demand-planning">SCM Demand Planning (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scout-rfp">Scout RFP (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/scribe-software">Scribe Software (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/search">Search (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sec">SEC (19)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sec-software">SEC Software (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/secfinops">SecFinOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/secops">SecOps (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/security">Security (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/security-posture">Security Posture (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sedar">SEDAR (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/self-service">Self-service (41)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/semantic-model">semantic model (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/service-supply-chain">Service & Supply Chain (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/service-cloud">Service Cloud (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/servigistics">Servigistics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sfa">SFA (24)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sfdc">SFDC (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sharepoint">SharePoint (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/shoretel">ShoreTel (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/siemens-enterprise-communications">Siemens Enterprise Communications (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/signal-demand">Signal Demand (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/silverpop">SilverPop (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/simba">Simba (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-financial-close">Smart Financial Close (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-manufacturing">Smart Manufacturing (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-phones">Smart Phones (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smart-watches">Smart Watches (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smarter-analytics">Smarter Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smarter-workforce">Smarter Workforce (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/smb">SMB (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/snaplogic">SnapLogic (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/snowfly">Snowfly (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/soa">SOA (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/soc">SOC (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social">Social (13)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-business">Social Business (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-collaboration">Social Collaboration (17)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-crm">Social CRM (128)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-dynamx">Social Dynamx (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media">Social Media (365)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media-analytics">Social Media Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-media-intelligence">Social Media Intelligence (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/social-recognition">Social Recognition (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/socialtext">SocialText (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sococare">SoCoCare (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/softscape">Softscape (4)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/software">Software (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/software-as-a-service">Software as a Service (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sourcing">sourcing (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sovereign-cloud">Sovereign Cloud (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sox">SOX (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spago-solutions">Spago Solutions (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spatial-data-quality">Spatial Data Quality (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/speech-analytics">Speech Analytics (177)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/splunk">Splunk (8)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spm">SPM (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spotfire">Spotfire (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spreadsheets">Spreadsheets (10)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/spss">SPSS (9)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sql-h">SQL-H (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sqlstream">SQLstream (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/star-analytics">Star Analytics (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/statistics">Statistics (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/stibo-systems">Stibo Systems (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/stratahadoop">Strata+Hadoop (56)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-analytics">Streaming Analytics (28)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-data">Streaming Data (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/streaming-data-events">Streaming Data & Events (32)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscriber-experience">Subscriber Experience (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-billing">Subscription Billing (3)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-management">Subscription Management (68)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/subscription-recurring-revenue-zuora">Subscription, Recurring Revenue, Zuora (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/successfactors">SuccessFactors (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumo-logic">Sumo Logic (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumtotal">SumTotal (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sumtotal-systems">SumTotal Systems (11)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sungard">Sungard (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sunsystems">Sunsystems (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supplier-relationship-management">supplier relationship management (5)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain">Supply Chain (12)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-management">supply chain management (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-performance">Supply Chain Performance (253)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/supply-chain-planning">Supply Chain Planning (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/surface">Surface (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/surveys">Surveys (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability">Sustainability (38)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability-and-esg">Sustainability and ESG (2)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sustainability-management">Sustainability Management (7)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/swordciboodle">SwordCiboodle (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase">Sybase (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase-iq">Sybase IQ (1)</a> </li> <li style="display:none;"> <a href="https://blog.isg-research.net/topic/sybase-mobile-industry">Sybase. 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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;"> 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Capital Management for 2018", "mainEntityOfPage": "https://blog.isg-research.net/the-mission-of-human-capital-management-for-2018-1", "datePublished": "28/02/2018", "dateModified": "28/02/2018", "articleBody": "The HCM software market continues to evolve at an unprecedented pace. The innovations we’re seeing are exciting new features and capabilities, but many have more profound impacts: They provide organizations with more effective ways to serve their customers and enhance their experience. HR’s customers –employees, managers, retirees, candidates, leadership and external partners – can now access and take advantage of native mobile apps, virtual agents and chatbots (via text or voice) as well as robotic process automation (“RPA”) technology for predictable-task execution and algorithms that prescribe best actions. We are also seeing increasing evidence of the power and potential of virtual and augmented reality to create immersive experiences (for candidates and learners) and the internet of things is helping organizations achieve an even more connected, data-driven workforce. We at Ventana Research recently released our research agenda for 2018, which outlines the ways we plan to track and evaluate these advances and innovations in the coming year. At the heart of many of these HR technology advances is artificial intelligence (AI), which can simulate the way humans gather, curate and then act on information, although usually much more quickly and accurately than people can and with the ability to deal with far more information from a vast number of sources. Personalization will be a cornerstone theme in our HCM research agenda in 2018 given its relevance to an employee’s role, career interests and goals, tasks required at work, how one completes tasks and the preferences and usage patterns around systems. Personalization is a critical element in achieving a rich, relevant and efficient (or “frictionless”) experience at work, and it contributes to considerable “stickiness” in HCM systems deployed. As in previous years, our HCM research will examine attitudes and changes in how organizations approach technology-enabled HCM. We will structure the knowledge and insights we provide in six HCM focus areas. Four of the six HCM focus areas in 2018 – those related to learning, compensation, payroll and workforce management – extend research that we’ve already established. These four areas are arguably the ones most on the minds of employees, and the systems that automate them are among the most frequently used in the enterprise. We are also launching research in two new HCM focus areas this year: candidate engagement and the employee experience. Candidate Engagement Candidate engagement is an emerging focus of human capital management that addresses tight labor market situations and the increasing demand for digital-age skills and behaviors through proactive, personalized and continuous outreach to candidates, particularly passive candidates. It’s an undertaking that goes beyond current approaches to social and mobile-centric recruiting, employing AI-empowered technologies to find and engage passive candidates. Furthermore, this focus encompasses what we expect will be an accelerated adoption of chatbots and conversational interfaces that enable candidates to get status updates, information on similar opportunities or other career-relevant information on the channel they prefer. These advances promise to bring new levels of efficiency and stakeholder satisfaction to the often-challenging talent-acquisition arena. From a best-practice perspective, top candidates need to be educated and convinced through a process that feels authentic and tailored, as opposed to the impersonal job-posting process of years past. We will explore these and other key aspects in our customer-focused Dynamic Insights research on candidate engagement, which we plan to launch in the second quarter of this year. Employee Experience Optimal workforce performance, administrative excellence across the employee life cycle and the retention of top talent are goals many organizations find impossible to achieve without a rich, relevant and frictionless employee experience, one that emulates the best consumer experiences. An important step in that direction is when HCM systems effectively automate HR processes while simultaneously elevating employee engagement and productivity. A superior employee experience includes technology-enabled career-pathing, career management and mentoring, and taking a holistic approach to promoting employee well-being. Doing these things also provides an antidote to employees feeling overwhelmed by constant change because of the many new tools and processes they must master as well as the daily tsunami of email and text messages and system-generated tasks. A best-practice mindset recognizes that retaining and motivating employees involves consistently demonstrating that their career interests and professional development are equally important to the organization. It also involves identifying not just promoters of employee engagement but impediments as well. We will kick off our 2018 Dynamic Insights research in employee experience in first part of 2018. Learning Management As the pace of change in the workplace increases, so too must an organization’s ability to react by modifying learning goals, methods and tools. As an example of that latter change, organizations are increasingly adopting on-demand digital learning tools such as short videos. They also should opt for modern learning-management system platforms that adjust presentations to reflect individual differences in the way people learn, including assisting managers who may need to enhance their people-management skills. Process and technology linkages between learning management and performance management are well documented, but best practice also involves connecting learning management to upstream HR processes such as workforce planning and recruiting. Our research indicates that while the vast majority of organizations have a training department, only half have a learning management system. This represents an opportunity for vendors and customers, and innovations in this domain challenge both groups to rapidly evaluate the merits and costs of a wide range of learning options and tools. In addition, new options are redefining the concept of blended learning and raising accessibility standards. We plan to kick off our benchmark research in learning management in the first quarter and will launch our vendor-focused Value Index research in first part of 2018. Total Compensation and Rewards Management In 2018 we will paint a broader research and best-practices picture of total compensation management. We will do this by examining the overlap and distinctions between TCM and total rewards management and by guiding vendors and enterprise executives and managers through the total-rewards maze. Our previous benchmark research in this area found that few organizations (17%) have meaningfully integrated compensation management with other aspects of talent management. However, we anticipate that this is about to change, with good reason: A holistic approach to planning, administering and communicating compensation has never been more important because organizations are not getting adequate ROI from simply communicating salary and bonus information. Such an approach should focus on which rewards maximize cost/outcome ratios, including non-monetary ones. Also, we expect to see AI-mediated pay equity and diversity analyses become more proactive and anticipate interesting research findings in this area. Our research in this focus area will consist of both our user-focused Dynamic Insights and our vendor-focused Value Index, each of which we plan to launch in third first part of 2018. Payroll Optimization Payroll optimization addresses how those in payroll functions will balance their continuing desire for control over data with newly available digital innovations such as robotic process automation and bots that aim to improve efficiency and quality of service. RPA will be able to help payroll departments aggregate, validate and perform calculations around data more quickly and accurately than ever before; payroll functions are already deploying chatbots to answer the high volume of routine questions that burden and distract employees. Our previous benchmark research in payroll management found that organizations want payroll systems to help improve employee productivity, which they now largely do by providing information to employees on demand through mobile devices. Our research on payroll optimization this year will highlight the continuing impact of modernizing the payroll user experience in the context of the total employee experience. We will also investigate the degree to which payroll data can be integrated with broader HR data as well as non-HR data to support decision-making and organizational agility objectives. Our payroll optimization research efforts will commence in the first quarter with both benchmark research and a Value Index. Workforce Management Workforce management systems continue to advance, driven by digital innovations to deliver more intuitive user experiences across the three WFM pillars: labor forecasting and scheduling, time and attendance capture, and leave management. New tools in the market are making time tracking and leave management even more hassle-free and labor forecasting and scheduling will each be enhanced through AI and machine learning. We’re now seeing early-stage bots that process leave requests and obtain manager approval within a matter of seconds. Our recent benchmark research found that inadequate software for workforce management impedes efforts to develop a collaboration strategy for workers and managers. That research also identified cost reduction as a top benefit of cloud computing in workforce management. We expect that new research will find the impetus for upgrading WFM platforms moving beyond cost savings and improved collaboration to include enhancing the employee experience. This will help organizations avoid employee disengagement, errors and potential safety and compliance issues by managing worker schedules proactively. We expect to find that the combination of AI and the internet of things will play a major role. Our workforce management research will consist of a Value Index and benchmark research in first part of 2018. Our 2018 HCM research agenda thus covers learning, compensation, payroll and workforce management. We also are launching Dynamic Insights research in two critical areas, candidate engagement and employee experience. This enterprise user research will be complemented this year by user interaction, including virtual roundtables of HR leaders to explore where their organizations sit in the digital HCM journey.", "image": { "@type": "ImageObject", "url": "http://research.ventanaresearch.com/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg", "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": "Make Data and Information Management Work for You in 2018", "mainEntityOfPage": "https://blog.isg-research.net/make-data-and-information-management-work-for-you-in-2018-1", "datePublished": "23/02/2018", "dateModified": "23/02/2018", "articleBody": "We at Ventana Research recently published our research agendas for 2018. The world of data and information management continues to evolve, as does our research on the use of these technologies to improve your organization’s operations. Relational databases are no longer the only viable enterprise data store as more organizations adopt a polyglot database infrastructure. And while their exact form may still be changing, as I have recently written, big data technologies are here to stay. Our Data and Analytics in the Cloud Benchmark Research indicates that an increasing number of organizations are opting for cloud-based deployments: A modern data infrastructure includes a hybrid of on-premises and cloud deployments for 44 percent of organizations. Our upcoming research will track how these changes are affecting data- and information-management processes. We have added a new topic to our research agenda this year: blockchain. While initial implementations of blockchain technology were focused on bitcoin, banking and payment systems, we expect to see it applied to other scenarios as well. My colleague Rob Kugel has written about some of these opportunities in this perspective. We’re expecting that by 2021 one-quarter of all organizations will be using blockchain databases in one or more business processes. We also are currently researching the adoption of data lakes and their role in organizations’ information architectures. Are they replacing enterprise data warehouses, supplementing them, or are they primarily deployed as independent entities? While some in the industry may consider data lakes to be data swamps, as I have written previously, with proper governance and administration data lakes can be an effective approach to managing and analyzing very large volumes of data. Stay tuned for more information as we analyze the ways organizations are using data lakes. A month ago we published our Data Preparation Benchmark Research, which examined the intersection of self-service and enterprise data-management requirements. The research reveals some interesting contrasts. While an overwhelming majority of organizations (88%) reported that self-service is important, fewer than half (42%) are comfortable allowing users to work directly with data that hasn’t been prepared by IT. We’ll be sharing more insights from this research in the coming months. With the European Union General Data Protection Regulation(GDPR) scheduled to take effect in May, along with growing interest in and concerns about data lakes, we expect data governance will be an important topic for many organizations. In fact, our data preparation research shows that security, governance and risk concerns are the most common reason organizations hesitate to invest in self-service data preparation. We anticipate the run-up to GDPR will be a reprise of the Y2K hysteria, and we expect that nearly every major organization will reevaluate its data-governance processes. Streaming data is becoming the norm, complicating data governance, information management and analytic processes. With so many connected devices as well as other machine data, organizations now must be capable of processing information as it is generated. Two-thirds of the participants in our IoT Benchmark Research said they consider it essential to process event data within minutes. To explore this area further we’ll be conducting research on the successes organizations achieve and the challenges they face in processing streaming data. The data and information-management world has become both more powerful, scaling and processing huge volumes of data, and more complicated, requiring a variety of technologies to process all this data. We’ll be studying the issues above and more throughout the year. Please download and review our full Data and Information Management 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_DataPrep_01_Importance_of_DataPrep.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": "Self-Describing Data Powers B2B Blockchain Distributed Ledgers", "mainEntityOfPage": "https://blog.isg-research.net/self-describing-data-powers-b2b-blockchain-distributed-ledgers", "datePublished": "15/02/2018", "dateModified": "15/02/2018", "articleBody": "The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its adoption. At this stage in the evolution of blockchain use it’s still necessary to mention at the outset that while all cryptocurrencies such as bitcoin operate on blockchains, most blockchains in use today aren’t associated with cryptocurrencies. Moreover, while cryptocurrencies operate in an unpermissioned environment, I expect almost all B2B interactions will occur in a permissioned blockchain environment. This discussion of developing blockchain technology has nothing to do with cryptocurrencies. I’ve written about using blockchain distributed ledgers as a machine-to-machine universal data connector for business-to-business transactions. Tim Berners-Lee, the creator of the World Wide Web, anticipated that the internet would evolve to support a web of data, not just documents. He used the term “linked data.” Blockchains’ ability to serve as a universal data connector, however, depends on their ability to connect disparate systems with a “loosely-coupled” architecture that supports many-to-many relationships. In computing, a loosely coupled system is one in which each of its components has little or no knowledge of the details of other components. When two such systems connect, the sender communicates a message in its native form and format in the expectation that the receiver will be able to fully and accurately understand the content of that message. To do so, however, requires some form of semantic standardization. This is achieved when the data format and the protocol used to structure the data makes it possible for disparate systems to correctly process the data. Semantic standardization is not especially difficult to achieve in a narrowly defined task with a limited number of participants. In this arrangement, it’s relatively easy for the participants to agree on data structures and protocols. Specialized forms of semantic standardization can be useful for defined groups, especially those that exchange high volumes of relatively standard messages, such as in securities trading and interbank payment systems. This sort of specialized blockchain is useful and will be an important part of the landscape, but for broader utility a more generalized semantic standardization is necessary. Establishing semantic standardization in a general-purpose, machine-to-machine universal data connector isn’t straightforward. To make this workable will require what I call “self-describing data.” Self-describing data “tells” any system reading it the form, meaning and context of the data. To do this will require the development of a syntactical system with dynamic extensibility for general business transactions. This would be similar to BLONDiE, which was developed for cryptocurrencies like bitcoin. This sort of syntactical system is a set of formal specifications that defines the data-related classes and concepts, their properties and roles. “Dynamic extensibility” means the system is structured to enable ongoing modifications and additions, a feature necessary for business-to-business commercial communication. An existing example of dynamic extensibility is eXtensible Business Reporting Language (XBRL), which is used to make listed companies’ U.S. Securities and Exchange Commission (SEC) filings machine-readable by the SEC and investors. The systems that are used to report companies’ financial results are entirely independent of those used to “read” those reports. In between is XBRL, a taxonomy that all systems use to make the information in the filing understandable. Semantic standardization in a general-purpose, machine-to-machine universal data connector needs an architecture to ensure self-describing data is always understandable. This must not be an afterthought but a part of the current efforts if blockchain technology is to be made useful for commercial purposes. Considering this issue now should limit the damage caused by ad-hoc efforts that result in unwieldy and duplicative approaches to data interchange. As a starting point I suggest the creation of an initial taxonomy designed for organizing more task-specific approaches to semantic standardization. I’ll leave it to others to decide whether there needs to be some sort of open-source group to curate the structure and how the process of creating and updating entries would work. This effort is similar to and would likely build on the semantic-web initiative but would be more narrowly focused so that a minimally viable result is available in a relatively short period to facilitate adoption. Here are a couple of use cases that demonstrate how a general-purpose, semantic-standardization approach can be applied to a specific B2B interaction. One is the creation of open business networks that support the purchase and sale of materials and services using smart contracts. The other is cross-posting intra-company transactions to the other party’s general ledger. Blockchains – permissioned ones in almost all cases – will serve as an open but secure platform for all forms of smart contracts that automate the B2B buying and selling process. Business networks for purchasing and sales already exist in the form of proprietary electronic data interchange (EDI) networks, which provide secure machine-to-machine connections to exchange documents. Open networks are likely to be available at little or no cost to participants because providers will use different business models to defray the cost of the service, for instance, as part of a broader or complementary service such as freight transportation or business-credit scoring or supported by advertising. In a low- or no-cost environment, buyers and sellers will want to belong to multiple permissioned blockchains. Publish-and-subscribe messaging will enable either or both sides of a transaction to post sales offers and tender offers to the blockchains and their enterprise software or some service that will interact with the blockchains. Software will either receive and filter responses for human intervention or automatically purchase items. Both will reduce the cost of buying and selling standard commercial products and services that lend themselves to this type of commerce. The second example of a use of blockchains as a universal data connector is cross-posting accounting transactions. In contrast to the many eye-catching use cases for blockchains – global trade payments, securities trading, food provenance and medical health records, to name just four – this activity probably seems trivial but it can have an outsized impact on finance department operations. Cross-posting would eliminate at the source virtually all the issues that create the need for intra-company reconciliations. For example, today when ABC Corporation’s legal entity Q sells a case of widgets to ABC Corporation’s legal entity R, the sale and purchase are recorded separately in the two accounting departments. Because the data is entered twice by two different people, it can give rise to inconsistencies. The price charged and paid for the quantities might be recorded differently. If the two operate with different functional currencies there can be a foreign exchange discrepancy. In some cases, there may be time stamps that fall in different accounting periods. When ABC consolidates its books at the end of the month, any discrepancy will cause the books to be out of balance. The cause of this imbalance then must be identified and reconciled. Reconciliation management software can reduce this tedious, time-consuming process. But cross-posting would go even further and make remediating inconsistencies a trivial task, especially for companies that operate globally and with extended or complex supply chains. Note that I’m suggesting the use of blockchains to complement, not replace, the ERP system. Although associated with the word “ledger,” blockchains are data repositories, not transaction-management systems. Moreover, their strength as data repositories does not mean they should serve as the system of record for an organization because their structure is not optimized for transactions processing or the type of reporting and analysis that modern ERP systems can provide. Blockchain distributed ledgers are best employed as a universal accounting data connector. In this role, the blockchain distributed ledger would function as a publish-and-subscribe structure, with the lead publishing entity posting the entry to the blockchain. Every subscribing general ledger within the corporation would periodically “scan” the blockchain for posts made since its previous scan and use that data addressed to it to generate its own journal entry that faithfully mirrors the lead accounting entry. Cross-posting would shorten a company’s close process by eliminating the need to remediate almost all unbalanced transactions. The advantage of the publish-and-subscribe model is that it could significantly reduce the time and cost of integrating systems, especially after acquisitions. There’s been a great deal of progress in underlying blockchain technology over the past year. Yet there’s a gaping hole in the development process: the lack of the architecture necessary for self-describing data in general-purpose blockchains. There’s still a great deal of work that must be accomplished to make blockchain a mainstream technology for businesses, so it may be jumping the gun to focus on the now-non-existent challenge of architecting blockchains to efficiently handle self-describing data. However, I’m raising the issue because decades of experience with IT-related matters makes it easy to foresee a data management issue. If we don’t deal with this issue in parallel with the development of basic blockchain technology, the mess that likely will ensue will impede adoption of blockchain and unnecessarily raise the costs of using them. Regards, Robert Kugel Senior Vice President Research Follow me on Twitter and connect with me on LinkedIn.", "image": { "@type": "ImageObject", "url": "http://research.ventanaresearch.com/hubfs/Ventana_Research_Sept_2016/images/shutterstock_314838419-1.jpg", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Robert Kugel", "url": "https://blog.isg-research.net/author/robert-kugel", "sameAs": "https://www.linkedin.com/in/robertkugel" }, "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": "Predictive Finance Organizations Are More Valuable", "mainEntityOfPage": "https://blog.isg-research.net/predictive-finance-organizations-are-more-valuable-1", "datePublished": "12/02/2018", "dateModified": "12/02/2018", "articleBody": "Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in accounting, data preparation and reporting. (I recently summarized these in a “Robotic Finance”) More than just automating rote tasks, technology also is facilitating a shift to a predictive finance organization. Greater amounts of information, now available in almost-real-time, demand more immediate analyses and assessments of possible courses of action. Increasingly, accounting and operational information is available almost immediately with the reduction in the need for batch processing. This change already can enhance the effectiveness of the department by enabling a continuous accounting approach. This approach supports more rapid and accurate transaction processing, spreading tasks more evenly over accounting periods (which can accelerate the accounting close) and mitigating organizational inertia. As accounting workloads are reduced, the CFO, the CEO and the board of directors of a corporation must reconsider the role of the department. At one extreme, they can increase the efficiency of the department by reducing its headcount while the department maintains its limited role as a transactions processor and reactive bean counter. Alternatively, though, the productivity gains and new capabilities that technology affords can free up resources that allow the department to take on a more strategic role, one that provides more analytical and advisory services, facilitates planning and promotes agility. But just buying technology won’t be enough. A finance organization can achieve this sort of transformation only if it uses the right technology. Furthermore, changing the focus of the finance and accounting department requires a change management effort, rethinking and redesigning processes to best utilize technology and using technology to address the data issues that limit the scope of analytic work and forecasting. Here are four technologies that finance organizations will need to support these changes: Dedicated Planning Software: Planning, forecasting and budgeting are core competencies of the predictive finance organization. An application that supports our continuous planning approach can strengthen a corporation’s performance by enabling high-participation, collaborative, action-oriented planning built on frequent short planning sprints. Our Next Generation Planning research confirms that organizations that use integrated planning technology have planning processes that work better: Two-thirds (66%) of those that directly link all planning information from business units have a planning process that works well or very well, compared to 40 percent that copy planning data and just one-fourth that have little or no connection. A continuous planning approach built on integrated planning technology enables organizations to create more accurate plans because refinements are made at shorter intervals. Short planning cycles enable companies to achieve greater agility in responding to market or competitive changes. Planning across the entire organization in a coordinated fashion (rather than as individual functional silos) in an ongoing collaborative dialogue that brings together finance, line-of-business managers and executives delivers better results. And because it’s high-participation planning and not silo-based, companies can plan with greater accountability and coordination in their operations. This ongoing dialogue tracks current conditions as well as changes in objectives and priorities that are driven by markets and the business climate. Continuous planning promotes a forward-looking mindset in planning and reviewing that’s focused on performance improvement. It's not feasible for all but the smallest organizations to practice continuous planning with desktop spreadsheets. The inherent technological limitations imposed by them make continuous planning undoable. For instance, short planning cycles are almost impossible because consolidating spreadsheets is so time-consuming. Predictive Analytics is a key discipline necessary for the predictive finance organization. Although the technology has been available for decades, our Office of Finance research finds that just 9 percent of finance organizations use it extensively in their daily operations. Predictive analytics is a technique that companies can utilize to achieve better results. It can be used to create more accurate and nuanced projections of future outcomes and is especially useful in quickly finding divergences from expectations to create more timely alerts. For instance, rather than having to wait until the end of a month to review results and initiate a course of action, early in the month a corporation could use predictive analytics to spot and address a probable revenue shortfall in a specific product line, or to change production rates or shipments to avoid a likely regional stock-out caused by unexpected demand. Predictive analytics increasingly are embedded in planning applications. However, the capabilities alone are not enough; one barrier to the successful adoption of predictive analytics is the timely availability of accurate and relevant data. More on data availability below. Artificial Intelligence and Machine Learning: Machine learning involves the application of data-science-derived algorithms that include the capability to “learn” and therefore change to achieve better results as more data and more outcomes are observed. Artificial intelligence applies machine learning algorithms, often in a way that mimics how a human might respond to or manage a process. Combined, the two make it possible to have computer systems that adapt to the needs of an organization without requiring a custom deployment process that results in a rigid implementation. Cognitive computing or cognitive systems are related to AI and ML but include the ability to work with a wider variety of unstructured data types such as text, speech, audio, static images and video. AI and machine learning will have a profound impact on white collar professions, especially in heavily rules-based functions such as accounting, as I’ve noted. Machine learning also can drive relevant prescriptive analytics. These present executives and managers with a range of possible responses to a specific business condition along with potential outcomes and an assessment of their probability. Because of their transformational potential, software vendors are giving AI and ML a significant amount of attention. It’s important, though, to recognize that while some applications of the technologies are already in use, others are a decade or more away from replacing or significantly augmenting human tasks. It’s also important to understand that any practical application of these technologies requires the timely availability of large quantities of accurate and relevant data. Yet, as a measure of data accessibility, our Internet of Things and Operational Intelligence research found that fewer than half (49%) of organizations rate their ability to track events and trends in their systems as either excellent or good. Which brings me to the fourth essential technology. Data Management is a fourth essential technology necessary for a predictive finance organization. The usefulness of predictive analytics and machine learning depend on being able to access and use large amounts of data. Moreover, FP&A organizations increasingly want access to a wider range of operational data, not just accounting numbers, to provide more insightful analyses for both finance and operations. External data related to markets and competitors can be useful for forecasting, planning and performance assessments. The quality and timeliness of analyses, reporting and planning is a function of the quality and timeliness of the available data. In many companies today, finance organizations trade timeliness for accuracy and completeness. Our Office of Finance research finds that only 31 percent of organizations said that the information that the department provides the rest of the organization is timely. At the same time, a majority (59%) claimed that the information the department provides the company supports their company’s performance, yet only 24 percent said that the information is useful enough to enhance its performance – a key objective for the predictive finance organization. Today, finance organizations struggle handling just their basic data requirements. Our Next Generation Finance Analytics research reveals that in performing analytical processes, two-thirds (68%) of companies spend the bulk of their time on data-related tasks such as assembling and validating data sets compared to 28 percent that spend most of their time analyzing data. Data management has been a challenge in business computing for decades. Increasingly, tools are available to streamline the process of gathering, validating and preparing data. There haven’t been any breakthroughs yet, but it’s likely that incremental progress in enhancing the capabilities of data management tools will make it much easier for finance departments to have the data they need to enable a predictive finance organization. For decades, there’s been a great deal of discussion about transforming the role of the finance organization, shifting its focus from transactions processing and reporting to analyses and advising. And for decades this shift has been stymied, in part by technology advances that have provided only incremental gains in effectiveness. However, information technology has now advanced to the point where many of the unfulfilled promises will finally be met. As noted, though, while technology makes the predictive finance organization possible, achieving a successful transformation of the department’s role requires a change management effort as well as process optimization. Regards, Robert Kugel Senior Vice President Research Follow me on Twitter and connect with me on LinkedIn.", "image": { "@type": "ImageObject", "url": "https://research.ventanaresearch.com/hubfs/vr_NGBP_02_integrated_planning_works_better_update-7.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Robert Kugel", "url": "https://blog.isg-research.net/author/robert-kugel", "sameAs": "https://www.linkedin.com/in/robertkugel" }, "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: '8587', pageId: '3884418273', region: 'na1', inlineMessage: "Thanks for subscribing!", rawInlineMessage: "Thanks for subscribing!", hsFormKey: "7fdec792aa64f0eff89e3dc002cdbc67", 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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