![\"scores-banner\"](\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/01\/scores-banner.jpg?resize=690%2C310&ssl=1\" "\\"scores-banner\\"")
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Last year, Ajay Ohri of the DecisionStats web site asked me to predict the top three analytic trends for 2011<\/a>. He recently challenged me to score how well I did<\/a> \u2013 here\u2019s a copy of the post he put on his site<\/a>, with the predictions and some comments on what actually happened during the year:<\/p>\n (1) Analytics, reinvented.<\/strong> New DW techniques make it possible to do sub-second, interactive analytics directly against row-level operational data. Now BI processes and interfaces need to be rethought and redesigned to make best use of this \u2014 notably by blurring the distinctions between the \u201cdesign\u201d and \u201cconsumption\u201d phases of BI.<\/p><\/blockquote>\n Score: 10. <\/strong>I spent most of 2011 talking about this theme at various conferences<\/a>: how existing BI technology is rapidly becoming obsolete<\/a> and how the changes are akin to the move from film to digital photography<\/a>. Technology that has been around for many years (in-memory, column stores, datawarehouse appliances, etc.) came together to create exciting new opportunities and even generally-skeptical industry analysts put out press releases such as \u201cGartner Says Data Warehousing Reaching Its Most Significant Inflection Point Since Its Inception<\/a>.\u201d Some of the smaller BI vendors had been pushing in-memory analytics for years, but the general market started paying more attention when megavendors like SAP painted a long-term vision of in-memory becoming a core platform for applications, not just analytics. Database leader Oracle was forced to upgrade their in-memory messaging from \u201cIt’s a complete fantasy<\/a>\u201d to \u201cwe have that too<\/a>\u201d.<\/p>\n (2) Corporate and personal BI come together.<\/strong> The ability to mix corporate and personal data for quick, pragmatic analysis is a common business need. The typical solution to the problem \u2014 extracting and combining the data into a local data store (either Excel or a departmental data mart) \u2014 pleases users, but introduces duplication and extra costs and makes a mockery of information governance. 2011 will see the rise of systems that let individuals and departments load their data into personal spaces in the corporate environment, allowing pragmatic analytic flexibility without compromising security and governance.<\/p><\/blockquote>\n Score: 6.<\/strong> The number of departmental \u201cdata discovery\u201d initiatives continued to rise through 2011, but new tools do make it easier for business people to upload and manipulate their own information<\/a> while using the corporate standards. 2012 will see more development of \u201centerprise data discovery\u201d interfaces for casual users.<\/p>\n (3) The next generation of business applications<\/strong>. Where are the business applications designed to support what people really do all day, such as implementing this year\u2019s strategy, launching new products, or acquiring another company? 2011 will see the first prototypes of people-focused, flexible, information-centric, and collaborative applications, bringing together the best of business intelligence, \u201centerprise 2.0\u201d, and existing operational applications.<\/p><\/blockquote>\n Score: 6. <\/strong>We didn’t see many of these in the traditional enterprise BI landscape, but\u00a02011 did see the rise of sophisticated, user-centric mobile applications that combine data from corporate systems with GPS mapping and the ability to \u201ctake action\u201d, such as mobile medical analytics for doctors<\/a> or mobile beauty advisor<\/a> applications, and collaborative BI started becoming a standard part of enterprise platforms<\/a>.<\/p>\n And one that should happen, but probably won\u2019t: (4) Intelligence = Information + PEOPLE<\/strong>. Successful analytics isn\u2019t about technology \u2014 it\u2019s about people, process, and culture. The biggest trend in 2011 should be<\/em> organizations spending the majority of their efforts on user adoption rather than technical implementation.<\/p><\/blockquote>\n Unsurprisingly, there was still high demand for presentations on why BI projects fail<\/a> and how to implement BI competency centers<\/a>.\u00a0 The new architectures probably resulted in even more emphasis on technology than ever, while business peoples\u2019 expectations skyrocketed, fueled by advances in the consumer world. The result was maybe even more dissatisfaction in the past, but we can hope that the benefits of the new architectures should start becoming clearer during 2012.<\/p>\n What surprised me the most:<\/p>\n The rapid enterprise rise of Hadoop \/ NoSQL.<\/strong> The potential of these technologies has always been impressive, but I was surprised just how quickly they have been used to address real-life business problems (beyond the \u201cbig web\u201d companies where they originated), and how quickly it is becoming part of mainstream enterprise analytic architectures (e.g. Sybase IQ 15.4<\/a> includes native MapReduce APIs, Hadoop integration and federation, etc.)<\/p>\n Prediction for 2012\u00a0<\/strong><\/p>\n I hope to do a longer post on this, but here\u2019s my initial take:<\/p>\n As I sat down to gather my thoughts about BI in 2012, I quickly came up with the same long laundry list of BI topics as everybody else: in-memory, mobile, predictive, social, collaborative decision-making, data discovery, real-time, etc. etc.<\/p>\n All of these things are clearly important, and we’re going to continue to see great improvements this year. But I think that the real \u201cnext big thing\u201d in BI is what I\u2019m seeing when I talk to customers: they\u2019re using these new opportunities not only to \u201cimprove analytics\u201d but also fundamentally rethink some of their key business processes.<\/p>\n Instead of analytics being something that is used to monitor and eventually improve a business process, analytics is becoming a more fundamental part of the business process itself. One example is a large telco company that has transformed the way they attract customers: instead of laboriously creating a range of rate plans, promoting them, and analyzing the results, they now use analytics to automatically create hundreds of more complex, personalized rate plans. They then throw them out into the market, monitor in real time, and quickly cull any that aren\u2019t successful. This kind of “analytics first” transformation has happened to other industries in the past, but the new technologies are helping more \u00a0industries and companies to do business in new ways that would have been inconceivable in the past.<\/p>\n I look forward to talking more about these themes at upcoming conferences this year<\/a>, starting with Gartner Business Intelligence Summit 2012<\/a>\u00a0in the UK next Monday — and hope to see you at one of them!<\/p>\n","protected":false},"excerpt":{"rendered":" Scoring my 2011 analytic predictions, and a quick look ahead at 2012<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-12234","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3X9RF-3bk","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12234","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=12234"}],"version-history":[{"count":0,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12234\/revisions"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=12234"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/categories?post=12234"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/tags?post=12234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}