Ever wonder how Las Vegas casinos catch card-counting teams at Blackjack tables, like the MIT team immortalized in the film “21” with Kevin Spacey? They use many techniques, some of which are confidential, but one we know about is their use of Entity Analytics on many intersecting streams of information about their patrons or potential employees. I recently had the chance to learn more about Entity Analytics and Big Data from one of the top industry thought leaders, Jeff Jonas of IBM.
Jeff Jonas Kevin Spacey in 21
This opportunity came when Marcel Jemio, Chair of the Fiscal Service Data Stewards at the US Treasury Dept. (and a Forrester client), invited me to a presentation Jeff gave at a special internal event at the Fiscal Service in Washington, D.C. So of course I leapt at the opportunity! Marcel opened the session with an overview of why Treasury is interested in data and analytics: Treasury is charged with helping the nation guard against the kind of national or global financial collapse that triggered the 2007-2009 recession. Therefore it’s crucial that the stewards of the nation’s financial data, like Marcel and his colleagues, continuously improve the insights we gain from this data.
It’s that time of year again, when everyone starts asking for the BI predictions for next year. Good news: We did a pretty good job on the last year’s predictions, and so there’re only a few reasons to update them. Therefore this year we’ll do the predictions in the following manner: base 2013’s predictions mostly on our one-year-old 2012 ones and then use the latest results from Forrester’s Forrsights surveys on BI and big data (as well as other Forrester research from the past year) to confirm or disprove the 2012 predictions and whether they still apply to 2013. If there’s room to add new ones (stay tuned), we’ll do so. So here we go:
#1 (From 2012 prediction #1). The best tool for each BI job trumps IT standards. BI has traditionally been ruled by overinsistence on enterprisewide standards and a single version of the truth. These will continue to be important, but they won’t be the Holy Grail. A purely standards-based approach to addressing most current business requirements is neither flexible nor agile enough to react and adapt to ever-changing information requirements. In 2012 (and now in 2013), expect IT to start embracing agile BI tools, such as ones based on flexible in-memory models, in addition to enterprise-grade BI tools and standards. For information workers who need information anytime and anywhere, agility concerns will trump standards.