David Menninger's 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.</p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/analyst_relations" rel="noopener">Analyst Relations</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/demand_generation" rel="noopener">Demand Generation</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/services/vendors/product-marketing" rel="noopener">Product Marketing</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/vendor-coverage" target="_self" role="menuitem">Market Coverage</a></strong></p> <p><strong><a href="https://www.ventanaresearch.com/briefing" target="_self" role="menuitem">Request a Briefing</a></strong><br><br><br></p></div> <span id="hs_cos_wrapper_dnd_area-module-2_" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_simple_menu" style="" data-hs-cos-general-type="widget" data-hs-cos-type="simple_menu"><ul></ul></span> <div class="bottom_rich_text"> </div> </div> </div> </div> </div> </div> <script src="https://davidmenninger.isg-one.com/hs-fs/hubfs/hub_generated/template_assets/1/90531223305/1740157483881/template_mmenu.min.js"></script> </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://davidmenninger.isg-one.com/hubfs/_images/_backgrounds_expertise/2024_VR_AI_Expertise_Image_AdobeStock_637057734_1200px.jpg); ">  <div class="row-fluid"> <div class="blog-header__inner dnd-row"> <div class="blog--post__image dnd-section"> <img class="analyst-header-photo" src="https://davidmenninger.isg-one.com/hubfs/_images/_team/Menninger.David%20Pic.Circle.png" style="padding: 10px; "> <br> <h1 class="analyst-header-title">David Menninger's 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://davidmenninger.isg-one.com/david-menninger/2011/11/30/kalido-directs-data-governance">Kalido Directs Data Governance</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">30 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-family: Verdana;">Kalido <span style="text-decoration: underline;"><a title="recently introduced version 9" href="http://www.kalido.com/8d78cfe2-4d2a-463b-b0ee-1edb4c958838/news-and-events-press-center-press-releases-detail.htm" target="_blank">recently introduced version 9</a></span> of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient...</span></p> </div> <a href="https://davidmenninger.isg-one.com/david-menninger/2011/11/30/kalido-directs-data-governance"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/data-quality">Data Quality</a>, <a href="https://davidmenninger.isg-one.com/topic/data-warehousing">Data Warehousing</a>, <a href="https://davidmenninger.isg-one.com/topic/master-data-management">Master Data Management</a>, <a href="https://davidmenninger.isg-one.com/topic/data-governance">Data Governance</a>, <a href="https://davidmenninger.isg-one.com/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-one.com/topic/governance-risk-compliance-grc">Governance, Risk & Compliance (GRC)</a>, <a href="https://davidmenninger.isg-one.com/topic/information-applications">Information Applications</a>, <a href="https://davidmenninger.isg-one.com/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-one.com/topic/kalido">Kalido</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://davidmenninger.isg-one.com/david-menninger/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive">Spotfire 4.0 is Socially Collaborative and Interactive</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">17 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span style="font-family: Verdana;">Tibco recently <span style="text-decoration: underline;"><a title="introduced Spotfire 4.0" href="http://spotfire.tibco.com/about-spotfire/news-room/press-releases/2011/11_14_11-Spotfire4-0.aspx" target="_blank">introduced Spotfire 4.0</a></span>, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for...</span></p> </div> <a href="https://davidmenninger.isg-one.com/david-menninger/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/sales">Sales</a>, <a href="https://davidmenninger.isg-one.com/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-one.com/topic/spotfire">Spotfire</a>, <a href="https://davidmenninger.isg-one.com/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/analytics">Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-collaboration">Business Collaboration</a>, <a href="https://davidmenninger.isg-one.com/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-one.com/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/chatter">Chatter</a>, <a href="https://davidmenninger.isg-one.com/topic/collaboration">Collaboration</a>, <a href="https://davidmenninger.isg-one.com/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-one.com/topic/dashboards">Dashboards</a>, <a href="https://davidmenninger.isg-one.com/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/tibco">Tibco</a>, <a href="https://davidmenninger.isg-one.com/topic/twitter">Twitter</a>, <a href="https://davidmenninger.isg-one.com/topic/workforce-performance">Workforce Performance</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://davidmenninger.isg-one.com/2011/11/15/the-world-of-big-data-gets-even-bigger-at-hadoop-world">The World of Big Data Gets Even Bigger at Hadoop World</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">15 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Cloudera’s recent <span style="text-decoration: underline;"><a href="http://www.hadoopworld.com/" target="_blank">Hadoop World 2011 event</a></span> confirmed that the world of big data is getting even bigger. As I wrote of <span style="text-decoration: underline;"><a href="//davidmenninger.ventanaresearch.com/2010/11/27/hadoop-is-the-elephant-in-the-room/" target="_blank">last year’s event</a></span>, Hadoop, the open source large-scale data processing technology, has gone mainstream. And while 75% of the audience attended this year for the first time and so may not have realized the breadth of Hadoop’s acceptance, statistics announced in the opening keynote show widespread use of it. Mike Olson, Cloudera CEO, reported that the event was sold out, with 1,400...</p> </div> <a href="https://davidmenninger.isg-one.com/2011/11/15/the-world-of-big-data-gets-even-bigger-at-hadoop-world"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-one.com/topic/datameer">Datameer</a>, <a href="https://davidmenninger.isg-one.com/topic/mapr">MapR</a>, <a href="https://davidmenninger.isg-one.com/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-one.com/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-one.com/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/cloudera">Cloudera</a>, <a href="https://davidmenninger.isg-one.com/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-one.com/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/hortonworks">Hortonworks</a>, <a href="https://davidmenninger.isg-one.com/topic/informatica-hparser">Informatica HParser</a>, <a href="https://davidmenninger.isg-one.com/topic/karmasphere">Karmasphere</a>, <a href="https://davidmenninger.isg-one.com/topic/netapp">NetApp</a>, <a href="https://davidmenninger.isg-one.com/topic/workforce-performance">Workforce Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/stratahadoop">Strata+Hadoop</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://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-gets-big-and-personal-with-business-analytics">IBM Gets Big and Personal with Business Analytics</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">04 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>IBM’s Information on Demand (IOD) event showcased its products for both information management and business intelligence. I’ve covered the information management aspects of IOD in a <a href="//blog.ventanaresearch.com/2011/11/04/ibm-intensifies-information-management-again-at-iod/">separate post</a>. In this post I’ll look at the business intelligence aspects. Earlier this year IBM made predictive analytics a major focus of its <a href="//davidmenninger.ventanaresearch.com/2011/06/17/ibm-gets-smarter-about-predictive-analytics/">Business Analytics analyst summit</a>, an event that often foreshadows the IOD messages. In addition to predictive analytics, IBM emphasized both large-scale “big” data and a...</p> </div> <a href="https://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-gets-big-and-personal-with-business-analytics"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-one.com/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-one.com/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-one.com/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/workforce-performance">Workforce Performance</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://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-intensifies-information-management-again-at-iod">IBM Intensifies Information Management Again at IOD</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">04 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>IBM made more than two dozen announcements in conjunction with its recent Information on Demand (IOD) event. In this post I’ll address the impact of IOD from an information management perspective and in a <a href="//davidmenninger.ventanaresearch.com/2011/11/04/ibm-gets-big-and-personal-with-business-analytics/">separate post</a> shortly from an analytics perspective. Trying to organize the mass of information IBM brought forth at IOD 2011, I group the announcements into three general categories of enhancements and extensions to InfoSphere, big data (which is technically part of InfoSphere) and databases.</p> </div> <a href="https://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-intensifies-information-management-again-at-iod"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/predictive-analytics">Predictive Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-one.com/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-intelligence">Business Intelligence</a>, <a href="https://davidmenninger.isg-one.com/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-one.com/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/workforce-performance">Workforce Performance</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://davidmenninger.isg-one.com/david-menninger/2011/11/02/informatica-parses-the-world-of-hadoop">Informatica Parses the World of Hadoop</a></h2> <div class="author-meta"> Posted by <a href="https://davidmenninger.isg-one.com/author/david-menninger"> David Menninger </a> on <span class="post-date">02 November 2011 </span> </div>  <hr> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png" width="200" !important: srcset="https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=100&name=Slider_3.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=200&name=Slider_3.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=300&name=Slider_3.png 300w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=400&name=Slider_3.png 400w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=500&name=Slider_3.png 500w, https://davidmenninger.isg-one.com/hs-fs/hubfs/Homepage_Slider/Slider_3.png?width=600&name=Slider_3.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>Informatica recently introduced <a href="http://www.informatica.com/news_events/press_releases/Pages/11022011_HParser.aspx" target="_blank">HParser</a>, an expansion of its capabilities for working with Hadoop data sources. Beginning with <a href="http://www.davidmenninger.ventanaresearch.com/2011/06/08/informatica-joins-big-data-market-with-new-release/" target="_blank">Version 9.1</a>, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop.</p> </div> <a href="https://davidmenninger.isg-one.com/david-menninger/2011/11/02/informatica-parses-the-world-of-hadoop"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://davidmenninger.isg-one.com/topic/big-data">Big Data</a>, <a href="https://davidmenninger.isg-one.com/topic/mapreduce">MapReduce</a>, <a href="https://davidmenninger.isg-one.com/topic/sales-performance">Sales Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/social-media">Social Media</a>, <a href="https://davidmenninger.isg-one.com/topic/supply-chain-performance">Supply Chain Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/business-analytics">Business Analytics</a>, <a href="https://davidmenninger.isg-one.com/topic/business-performance">Business Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/customer-contact-center">Customer & Contact Center</a>, <a href="https://davidmenninger.isg-one.com/topic/data-integration">Data Integration</a>, <a href="https://davidmenninger.isg-one.com/topic/financial-performance">Financial Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/information-management">Information Management</a>, <a href="https://davidmenninger.isg-one.com/topic/workforce-performance">Workforce Performance</a>, <a href="https://davidmenninger.isg-one.com/topic/stratahadoop">Strata+Hadoop</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> <span class="hs-cta-wrapper" id="hs-cta-wrapper-960cd0b7-7494-40d3-ac1c-5825d5a075be"><span class="hs-cta-node hs-cta-960cd0b7-7494-40d3-ac1c-5825d5a075be" id="hs-cta-960cd0b7-7494-40d3-ac1c-5825d5a075be"><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></span><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></span> <span id="hs_cos_wrapper_module_1495215326694198" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_rich_text" style="" data-hs-cos-general-type="widget" data-hs-cos-type="rich_text"><h3 style="color: var(--light_blue);">Our Analyst Perspective Policy</h3> <ul> <li style="display: none; list-style: none;"> <p>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. 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If you have any issue with an Analyst Perspective, please email them to <a href="mailto:ChiefResearchOfficer@isg-research.net">ChiefResearchOfficer@isg-research.net</a></p> </li> </ul> <a class="btn-secondary" href="https://www.isg-research.net/analyst-perspective-policy">View Policy</a></span>  <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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=50&name=Menninger.David%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=100&name=Menninger.David%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=150&name=Menninger.David%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=200&name=Menninger.David%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Menninger.David%20Pic.Circle.png?width=250&name=Menninger.David%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=50&name=Orr.Jeff.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=100&name=Orr.Jeff.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=150&name=Orr.Jeff.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=200&name=Orr.Jeff.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Orr.Jeff.Circle.png?width=250&name=Orr.Jeff.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=50&name=Dawson.Keith%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=100&name=Dawson.Keith%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=150&name=Dawson.Keith%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=200&name=Dawson.Keith%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Dawson.Keith%20Pic.Circle.png?width=250&name=Dawson.Keith%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=50&name=Smith.Mark%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=100&name=Smith.Mark%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=150&name=Smith.Mark%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=200&name=Smith.Mark%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Smith.Mark%20Pic.Circle.png?width=250&name=Smith.Mark%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=50&name=Aslett.Matt%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=100&name=Aslett.Matt%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=150&name=Aslett.Matt%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=200&name=Aslett.Matt%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Aslett.Matt%20Pic.Circle.png?width=250&name=Aslett.Matt%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=50&name=profile_vr_matthew_brown_circle_900x900.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=100&name=profile_vr_matthew_brown_circle_900x900.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=150&name=profile_vr_matthew_brown_circle_900x900.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=200&name=profile_vr_matthew_brown_circle_900x900.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/profile_vr_matthew_brown_circle_900x900.png?width=250&name=profile_vr_matthew_brown_circle_900x900.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=50&name=Kugel.Robert%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=100&name=Kugel.Robert%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=150&name=Kugel.Robert%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=200&name=Kugel.Robert%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Kugel.Robert%20Pic.Circle.png?width=250&name=Kugel.Robert%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/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://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=50&name=Hurrell.Stephen%20Pic.Circle.png 50w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=100&name=Hurrell.Stephen%20Pic.Circle.png 100w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=150&name=Hurrell.Stephen%20Pic.Circle.png 150w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=200&name=Hurrell.Stephen%20Pic.Circle.png 200w, https://davidmenninger.isg-one.com/hs-fs/hubfs/_images/_team/Hurrell.Stephen%20Pic.Circle.png?width=250&name=Hurrell.Stephen%20Pic.Circle.png 250w, https://davidmenninger.isg-one.com/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;" 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provide you with a better, faster and safer experience and for marketing purposes.</span></p> </div> </div> </div> </footer></div>  <script defer src="/hs/hsstatic/content-cwv-embed/static-1.1293/embed.js"></script> <script src="https://davidmenninger.isg-one.com/hs-fs/hub/2035844/hub_generated/template_assets/94278782902/1725882474552/Ventana_Research_2023/Ventana_Research_2023_child.min.js"></script> <script> var hsVars = hsVars || {}; hsVars['language'] = 'en'; </script> <script src="/hs/hsstatic/cos-i18n/static-1.53/bundles/project.js"></script> <script src="https://davidmenninger.isg-one.com/hs-fs/hub/2035844/hub_generated/module_assets/90531062927/1702386872146/module_90531062927_Header-Global.min.js"></script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Kalido Directs Data Governance", "mainEntityOfPage": "https://davidmenninger.isg-one.com/david-menninger/2011/11/30/kalido-directs-data-governance", "datePublished": "30/11/2011", "dateModified": "30/11/2011", "articleBody": "Kalido recently introduced version 9 of its Information Engine product. The company has been around for 10 years but has had difficulty establishing its identity in the information management market. Kalido was perhaps ahead of its time, partly a vendor of data integration, partly master data management and partly data governance. As an example of the positioning challenge, its core product, Information Engine, while not a data integration tool, could in some cases provide sufficient capabilities to meet an organization’s data integration needs. Its real value, however, comes from authoring and management of information about the user’s data warehouse. Information Engine introduces an abstraction layer that separates the physical design of a warehouse from its logical design. Its repository holds information about the data model used in data warehouses and data marts, as well as the associated processes of managing the warehouse life cycle. This includes information about measures, hierarchies, aggregates, change management routines, security and auditing. By looking at the data warehouse as a process rather than a physical implementation of a data model, Kalido can help organizations manage processes that enhance data governance. For example, workflows with approvals and audit trails are a natural by-product of this process-based approach. With version 9, Kalido continues to speed up data warehouse implementations. It pushes more of the processing down into the underlying database, which supports extract, load and transform (ELT) processes rather than the more conventional extract, transform and load (ETL). Doing more processing in the database using ELT eliminates the need to move the data twice: once to a transformation engine and then again to the data warehouse. The key change to support ELT in the new release is the introduction of staging tables, where data can land and be transformed before being loaded into the appropriate data warehouse tables. Version 9 also has more data integration features and additional testing capabilities. Kalido also offers master data management (MDM) capabilities across multiple domains, derived from the process-driven approach of Information Engine. Kalido MDM provides separate interfaces for data stewards as well as users of the master data. Data stewards, who oversee the master data processes, can define and perform data matching, identity resolution, validation and publication. Kalido provides connectors to Trillium and DataFlux software for external data validation and claims to be building them for products from others. Users of the master data can search through it, browse the data model and issue change requests. The most interesting aspect of the company’s process-driven approach is the ability to capture and apply data governance policies. As information management capabilities mature, organizations can focus more attention on data governance. Kalido has recognized this opportunity, and while for years its messaging has included data governance, only last year did it introduce Kalido Data Governance Director as a separate product. Data Governance Director uses a policy management metaphor in which organizations define their data governance policies as well as metrics to measure whether the policies are being enforced. Our benchmark research into data governance found that designing and maintaining policies and rules was the top objective for data governance in 75 percent of organizations and a current lack of satisfaction with current approaches. The research also found that a lack of sufficient policies was one of the top barriers towards a single version of data to leverage across the enterprise. We are currently conducting benchmark research on trends in information management to help us understand whether interest in data governance has risen, and to determine the relative priorities of other information management processes, including master data management, data integration and data quality. I expect we’ll see rising interest in data governance, which could bode well for products such as Kalido’s Data Governance Director. One of the challenges Kalido still faces is communicating its positioning clearly to the market. Information Engine 9 includes data integration features that make Kalido more competitive, yet the company does not attempt to compete directly in the data integration market – nor do I think it should. I would prefer to see more partnerships with those vendors, which would allow Kalido to focus where it can add the most value: managing the processes associated with data warehousing. In particular, Data Governance Director represents a unique approach that’s worth exploring. Even if your organization isn’t ready to purchase the product, you can probably learn something useful about data governance that you can apply to your own processes. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-one.com/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-one.com", "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": "Spotfire 4.0 is Socially Collaborative and Interactive", "mainEntityOfPage": "https://davidmenninger.isg-one.com/david-menninger/2011/11/17/spotfire-4-0-is-socially-collaborative-and-interactive", "datePublished": "17/11/2011", "dateModified": "17/11/2011", "articleBody": "Tibco recently introduced Spotfire 4.0, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for more BI projects, but the latter capabilities are more interesting since they represent a fundamental shift in the way enterprises use business intelligence. I’ve written about the trend toward consumerization of collaborative BI that is part of new benchmark research in 2012. Spotfire 4.0 supports integration with Microsoft SharePoint and Tibco’s own collaboration tool tibbr. SharePoint integration will earn Tibco points with IT organizations, but tibbr integration is more likely to resonate with end users. SharePoint represents the “old school” model of portal-based collaboration, while tibbr represent the newer message-based form of collaboration. If you are not familiar with tibbr, it is similar to Twitter and Salesforce.com Chatter, but it is designed exclusively for use in an enterprise environment. For example, Spotfire’s analytics are nicely integrated with tibbr. While viewing a Spotfire 4.0 analysis you can send a message with the analysis embedded in it. Within tibbr the reader of the message can interact with the analysis and delve deeper or explore other aspects of the data. Spotfire 4.0 dashboards can include tibbr chat streams bringing together the notion of analyzing data and capturing the discussion about the information. It remains to be seen if tibbr will grow sufficiently in popularity to help fuel the revolution in BI that we identified earlier this year. Critical mass of collaborators is a key ingredient to success in collaborative BI. If Spotfire or tibbr supported bridges to other social media tools, such as Twitter and Chatter, it could broaden the appeal of the new capabilities. IBM and SAP have taken a similar approach with their collaboration platforms, but some vendors without their own collaboration platform have no choice but to support third-party platforms. As I indicated in a recent post, one such vendor, QlikTech, is working to integrate its QlikView with Chatter. In regard to new dashboard capabilities, Spotfire 4.0 introduces display objects and provides more finely grained control over existing objects. New objects include sparklines, which are small line graphs that can fit in a row of data, and conditional icons that are often used to give a visual indication of the value relative to its target as well as whether the value is trending up or down. These types of icons are common to performance management applications. Users now can control the display of dashboard objects more precisely. Because of Spotfire’s interactivity, in previous versions the dashboards sometimes appeared cluttered with various controls for altering the data selections. With the new capabilities, the dashboards can have a cleaner look that makes it easier for casual users to focus on the relevant data. It also is easier to embed Spotfire components in other portals and dashboards. It is disappointing that version 4.0 does not enhance mobile capabilities in any significant way. While Spotfire supports the Apple iPad with a native application, that is really just a wrapper around its browser-based capabilities. When I worked with the application I found the user interface awkward relative to native offerings from competitors. For example, you could not pinch, zoom or pan with gestures. I expect we’ll see more investment in mobile capabilities going forward, especially since mobile and collaborative technologies are closely intertwined. The bottom line is that Spotfire 4.0 incorporates key collaborative capabilities that can help organizations transform their business intelligence processes. It also includes incremental improvements in its dashboards that should make the product easier to use. If you are already using Spotfire or tibbr, you’ll likely appreciate what version 4.0 adds. Others who are looking to expand their collaborative BI capabilities should consider the combined offering. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-one.com/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-one.com", "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": "The World of Big Data Gets Even Bigger at Hadoop World", "mainEntityOfPage": "https://davidmenninger.isg-one.com/2011/11/15/the-world-of-big-data-gets-even-bigger-at-hadoop-world", "datePublished": "15/11/2011", "dateModified": "15/11/2011", "articleBody": "Cloudera’s recent Hadoop World 2011 event confirmed that the world of big data is getting even bigger. As I wrote of last year’s event, Hadoop, the open source large-scale data processing technology, has gone mainstream. And while 75% of the audience attended this year for the first time and so may not have realized the breadth of Hadoop’s acceptance, statistics announced in the opening keynote show widespread use of it. Mike Olson, Cloudera CEO, reported that the event was sold out, with 1,400 attendees from 580 organizations and 27 countries. In independent confirmation, our benchmark research shows that 54% of organizations are either using or evaluating Hadoop for their big-data needs. Before or during Hadoop World, several vendors made announcements that further reinforced the growth of the market. Cloudera announced it has raised an additional $40 million to expand its operations. Oracle, a sponsor of the event, introduced its Big Data Appliance, which includes Hadoop. NetApp announced a partnership with Cloudera to provide a preconfigured, appliance-like solution called NetApp Open Solution for Hadoop. Hortonworks, a Cloudera competitor, unveiled its own distribution of Hadoop called Hortonworks Data Platform. Despite these announcements, one of the main impressions I took away from the event is that this emperor has no clothes. If you recall the story, the fact that the emperor had no clothes was not a metaphor of his authority but a question, literally and figuratively, about whom and what he had surrounded himself with. By many accounts, Hadoop is in a similar situation. It is a powerful but immature technology that has grown popular despite its shortcomings. In his keynote, Olson acknowledged this, saying that it’s not enough to provide a platform for Java developers. Doug Cutting, Cloudera’s architect and creator of Hadoop, described it as the kernel of a distributed operating system for big data. Not many end users are prepared to work directly with the kernel of an operating system. Those users need the technology to be easier to handle and more broadly accessible. This issue shows up in our research finding that staffing and training are the two biggest obstacles to analyzing large-scale data sets with Hadoop. MapR, another Cloudera competitor with its own Hadoop distribution, is trying to capitalize on the need to overcome this obstacle by offering free training resources. And some vendors recognize the need to surround Hadoop with “better clothes.” Karmasphere and Datameer provide tools that make Hadoop easier to use in the analytics process. Informatica recently announced HParser, which makes it easier to parse the unstructured data often collected and analyzed with Hadoop. I spoke with other vendors at the event that are still in stealth mode, but we can expect continued development in the Hadoop ecosystem. Giving this trend momentum, venture capitalist Accel Partners announced a $100 million fund to invest in big-data companies. This market is evolving with many moving parts. Hadoop is not one thing, but a collection of multiple projects. Hadoop’s distributed file system (HDFS) and MapReduce have been the cornerstones of Hadoop adoption; the majority of organizations use those two components, our research confirms. HBase, a columnar database built on HDFS, received a lot of attention at the event and was the subject of several presentations, including one about Facebook using HBase for real-time data access. Attendees were offered a free copy of HBase: The Definitive Guide, and several commented that perhaps the event should have been called HBase World. So while the emperor has no clothes, there are plenty of tailors making suits. I expect increasing competition among different distributions of Hadoop and among existing and new tool vendors trying to make Hadoop easier to use. The advantage of all this interest in Hadoop is that the open source community is aware of many of the platform’s issues and is working to resolve them. The disadvantage is that with all the separate components and so many competitors that it will continue to be a confusing landscape until the market matures further. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-one.com/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-one.com", "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": "IBM Gets Big and Personal with Business Analytics", "mainEntityOfPage": "https://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-gets-big-and-personal-with-business-analytics", "datePublished": "04/11/2011", "dateModified": "04/11/2011", "articleBody": "IBM’s Information on Demand (IOD) event showcased its products for both information management and business intelligence. I’ve covered the information management aspects of IOD in a separate post. In this post I’ll look at the business intelligence aspects. Earlier this year IBM made predictive analytics a major focus of its Business Analytics analyst summit, an event that often foreshadows the IOD messages. In addition to predictive analytics, IBM emphasized both large-scale “big” data and a concept it calls “personal analytics” at the summit. Both of these received more attention at IOD. In the run-up to IOD, IBM released SPSS 20, which includes new mapping features, some modeling and performance improvements, file compression in temporary tables and the ability to launch server jobs and then disconnect while the jobs run. But the emphasis at IOD was on the “decision management” capabilities of SPSS and embedding predictive analytics in software and services across the IBM portfolio. Decision management refers to automating routine operational decisions using a combination of predictive analytics and business rules. IBM combines the capabilities of its SPSS and ILOG products to provide decision management. Since only 13% of 2,600 organizations participating in our business analytics research currently use predictive analytics, IBM may be ahead of the market with these capabilities. We’re collecting more information about how organizations are managing their predictive analytics in a benchmark research project currently in progress. IBM already has a big presence in big data, but it has not yet permeated the company’s business intelligence product line. For example, you can use IBM BigSheets, a spreadsheet-style tool, to interact with big data in Hadoop, but you cannot do the same in the Cognos products. In certain point applications, such as Cognos Consumer Insight, IBM has brought together Hadoop-based processing of social media content with the Cognos presentation layer to categorize and display what people are talking about in public channels. IBM also introduced the first application based on Watson, the data-processing technology used to compete on Jeopardy. IBM has announced Content and Predictive Analytics for Healthcare, a product designed to examine unstructured data such as notes and comments in addition to structured healthcare data such as lab results. Our benchmark research into Healthcare finds a large opportunity for improvement. Overall then, IBM is making strides bringing big data and predictive analytics to the masses, but to date the efforts are confined mostly to point applications and custom consulting engagements. I expect that the experience that IBM gains from these activities will give it a competitive edge in big-data analytics for the near term. The third theme, personal analytics, although nascent, seems to be gathering some momentum in the market. MicroStrategy recently introduced Cloud Personal, which I covered in a previous post. At IOD IBM devoted a significant portion of its Business Analytics keynote to personal analytics including an in-depth demo of some capabilities that are still in the labs. Personal analytics means more than visualization to IBM. It also includes the ability to update data and perform what-if analysis to enable driver-based planning, which my colleague Robert Kugel explained in this post. IBM also plans to support disconnected usage so users can work with analytics offline. Many users would also consider mobile access a form of personal computing. At the event, IBM introduced its first native iPad application in the Cognos product line, which my colleague Mark Smith recently reviewed. In the weeks before IOD, IBM introduced extensions to its Smart Analytics systems, which are bundled business intelligence hardware and software appliances that provide operational intelligence or real-time analysis of data generated in an organization. These bundles include InfoSphere Warehouse and Cognos BI software. (Oracle recently introduced similar capabilities in its Exalytics appliance, but the Oracle version only comes in one configuration.) IBM’s configurations available now range from a single-server version on System X (x86 architecture) and Power Systems to mainframe-based systems based on z/OS. Solid-state disks (SSD) are available on some of the larger configurations for higher performance. IBM continues to provide a broad range of analytics capabilities that are reasonably well integrated. It has work to do to integrate the pieces fully, and individual products from other vendors may be better at specific analytic tasks. Even so, in my opinion, IBM has claimed a leadership position with its vision for analytics. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-one.com/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-one.com", "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": "IBM Intensifies Information Management Again at IOD", "mainEntityOfPage": "https://davidmenninger.isg-one.com/david-menninger/2011/11/04/ibm-intensifies-information-management-again-at-iod", "datePublished": "04/11/2011", "dateModified": "04/11/2011", "articleBody": "IBM made more than two dozen announcements in conjunction with its recent Information on Demand (IOD) event. In this post I’ll address the impact of IOD from an information management perspective and in a separate post shortly from an analytics perspective. Trying to organize the mass of information IBM brought forth at IOD 2011, I group the announcements into three general categories of enhancements and extensions to InfoSphere, big data (which is technically part of InfoSphere) and databases. IBM announced version 8.7 of InfoSphere, its core data integration product, and version 10 of InfoSphere Master Data Management. InfoSphere 8.7 provides validation of data in transit, better integration with the Netezza data warehouse appliance and access to data in Hadoop as both a source and a target. MDM 10 consolidates three separate master data products from IBM: InfoSphere MDM Server, InfoSphere MDM Server for Product Information Management and Initiate Master Data Service. The combined capabilities will be bundled into four different editions, so an organization can choose to purchase only the portions it needs. The InfoSphere product line also includes Optim for information life-cycle management and governance. In this release Optim automatically refreshes test data and manages test data for SAP systems including detecting SAP system changes and masking data. Big data was a prominent theme of the event. After the opening keynote IBM gave away a book, Understanding Big Data, that attendees eagerly scooped up. The book is equal parts introduction to the topic and a roadmap of how IBM’s products work with big data. Earlier this year IBM began to establish a presence in this market segment with its Big Data Symposium. In the interim the company has developed its product strategy more fully and now focuses its messaging and sales effort around two InfoSphere products: BigInsights 1.3, its Hadoop offering, and Streams 2.0 for real-time analysis of streaming data. Adaptive MapReduce, included in BigInsights 1.3, speeds up processing of small jobs by understanding which nodes in the cluster may have spare resources and transparently allocating additional work to those nodes. IBM promotes this feature as new in this release although it appears to have been included in version 1.2 but turned off, which is not an unusual way for software companies to get feedback on new features. IBM also integrates compression into BigInsights to help minimize storage costs for Hadoop data. IBM is unusual in addressing the analysis of real-time streams of big data as well Hadoop-based batch analysis of big data. As I discussed in previous posts Hadoop does not provide real-time analysis, and in our recent Hadoop and Information Management benchmark research two-thirds of participants identified the lack of real-time capabilities as an obstacle – the most significant technical obstacle, ranked third overall behind inadequate staffing and training. IBM deals with this in Streams, which is an important part of the IBM big-data story; even though the current release number is 2.0 it emerged from work in the intelligence community going back 10 years. Streams can be used to analyze both structured and unstructured data. It processes data in a distributed fashion across a number of nodes, and in this release the previous limit of 125 nodes has been removed to enable more scalability. Other new features include a text analytics tool kit and a Hadoop connector for BigInsights. I would prefer to see Hadoop extended to deal with real-time data rather than managing it separately in Streams, but I recognize that is a big effort involving many technical challenges. In its database products IBM announced IMS 12 for large online transaction processing applications. The new version has been clocked at processing 66,000 transactions per second, which is certainly fast, but it’s hard to evaluate the claim since it was not based on an industry-standard benchmark. For example, IBM and others have published faster results based on the TPC-C benchmark. It also announced the DB2 Analytics Accelerator, and integration of DB2 for z/OS, the high end of IBM’s relational database and data warehousing product line, with Netezza. The combination creates a more unified product family, bringing Netezza further into the fold, but the IBM product line is still more disjointed than the Teradata product line, even with the Aster Data products it recently acquired. In conjunction with IOD, IBM extended the Netezza product line with a high-capacity server to manage and query the ever-increasing volumes of archive data within organizations. IBM’s messaging at IOD and elsewhere has been evolving toward a logical data warehouse concept consisting of multiple specialized and optimized data processing technologies. To support this concept, the company demonstrated technology from its labs that would coordinate the movement of data between the various systems including non-IBM databases, eliminating much of the ETL work that would normally accomplish this task. The approach sounds somewhat similar to Teradata’s recent announcement of Unity. The IBM information management product line is both broad and deep. The company continues to invest in integrating the various elements it has created or acquired over the years. IBM InfoSphere continues to advance as I indicated in my analysis from last year and advances the information management revolution that I outlined earlier this year. There’s still work to be done to create a more unified product family including the challenges with what my research found in the data in the cloud, but IBM offers a comprehensive set of capabilities that can meet the information management challenges of most organizations. Regards, David Menninger – VP & Research Director", "image": { "@type": "ImageObject", "url": "", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "David Menninger", "url": "https://davidmenninger.isg-one.com/author/david-menninger", "sameAs": "http://www.linkedin.com/in/davidmenninger" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "davidmenninger.isg-one.com", "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": "Informatica Parses the World of Hadoop", "mainEntityOfPage": "https://davidmenninger.isg-one.com/david-menninger/2011/11/02/informatica-parses-the-world-of-hadoop", "datePublished": "02/11/2011", "dateModified": "02/11/2011", "articleBody": "Informatica recently introduced HParser, an expansion of its capabilities for working with Hadoop data sources. Beginning with Version 9.1, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop. We recently completed benchmark research on Hadoop, the open source large-scale processing technology, and I have been writing regularly about Hadoop in this blog. In this era of big data, Hadoop has quickly become a popular technique for storing and analyzing big data; more than half (54%) of participants in our research are either using or evaluating the technology. The research shows that most often, they use Hadoop in conjunction with unstructured data including application logs and event data. Before someone can analyze this data, it must be parsed to determine the various bits of information recorded in each row of the log files. Informatica’s HParser is designed to make this process easier. Using DT Studio, Informatica’s Eclipse-based integrated development environment (IDE), organizations can create data transformation routines via a graphical user interface that parses the information in log files and other types of data typically processed with Hadoop. Once developed, these routines get deployed to the Hadoop cluster and are invoked as part of the MapReduce scripts, which enables them to use the full distributed processing and parallel execution capabilities of Hadoop. Using a graphical environment to develop these routines should make it easier and faster to create the code necessary to parse the data. As our research shows, staffing and training are the two biggest obstacles to leveraging Hadoop, so tools like HParser that can minimize the specialized skills required can be valuable to organizations deploying Hadoop. Informatica is making two versions of HParser available. The community edition is free, but it’s not open source. It can be used to process log files, Omniture Web analytics data, XML documents and the JavaScript Object Notation (JSON) data interchange format. The enterprise edition also supports a number of industry-standard data formats including SWIFT, X12, and NACHA for the financial industry, HL7 and HIPAA for healthcare, ASN.1 for telecommunications, and documents in PDF, XLS or Microsoft Word formats. For the most part, the enterprise offering is targeted for those in the Informatica user base who might be extending their efforts into Hadoop. The community edition may provide enough value for customers not currently working with Informatica to consider trying some of the company’s other products. We’ve seen other information management vendors take a similar approach. Earlier this year Syncsort announced a free version of its sort routines for the Hadoop market as well as an enterprise edition. HParser appears to be part of a bigger effort on the part of Informatica to embrace Hadoop. The company has been conducting a series of webcasts called Hadoop Tuesdays, one of which I participated in one last week, to help educate the market about Hadoop. You may find these useful if you want to learn more about Hadoop. They are not product sales pitches but are focused on explaining the technology and its uses. In addition, Informatica will be delivering a keynote presentation at Hadoop World next week. We’ve seen business intelligence vendors and information management vendors alike embrace Hadoop. I expect we’ll continue to see more investment from Informatica and others as organizations work to make Hadoop a disciplined part of their IT infrastructure processes. As our research shows, integration is one of the top four issues for organizations working with Hadoop. The more that existing products can be extended to incorporate Hadoop or new products can be developed to make Hadoop easier to use, the more widespread its usage will become. Die-hard MapReduce programmers may not feel that they need HParser. However, enterprise IT organizations already using Informatica should find it a welcome addition in their efforts to deal with Hadoop-based data sources. You can give it a try for yourself here. 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David Menninger's Analyst Perspectives