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Predictive analytics applies statistical algorithms to prescribe (recommend) actions based on patterns in data that predict the behavior of customers, products, services, markets and other business outcomes.


Reading the latest spy novel, Pulitzer winner or celebrity tabloid isn’t for everyone this summer, which is now unofficially underway. In the information management space, bibliophiles are in luck with a slew of great recently released reads.
BlogComplexity of data science confirmed in machine learning engagement, IQSS research
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SurveyNovarica’s most recent IT roundtable finds a P&C insurance focus on data capabilities; speed to market is a particular point of emphasis for life and health insurers
If traditional reporting and decision support were at the start of modern analytics, and big data initiatives are at present, what’s the near future for analytics? The International Institute of Analytics outlined its new framework for what it calls “Analytics 3.0,” the future of making a business impact with varied and voluminous data.
BlogAs innovators in MIT Sloan report suggest, fixation on performance brings adoption, ROI
BlogEnough with the bracketologists, and on with the hoops data
BlogSiegel and Silver top book list in red hot analytic space
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To a packed keynote audience at Gartner’s BI event in Grapevine, Texas, celebrated political prognosticator Nate Silver put his wide analytic expertise on display. Along with touching on the way Bayes and data models can – and can’t – impact natural disaster forecasts and chess mastery, Silver dropped plenty of tidbits about the practical strategy and application of analytics.

Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?

Yes 61%
No 23%
Don't Know 9%
Not Applicable 6%

 

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