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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.


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.
BlogTake comfort in author Taleb's big data analytics doom and gloom
BlogBetter models, modern structure keep IT from operating like a “one-trick pony”
BlogFour specific areas make up a “holistic discussion” on people and solutions
BlogBusiness-minded data forecasts have a bright immediate future, as per Eric Siegel’s new book and university indicators
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If data is the “new oil,” then analytics should act as your gas station: a source for direct insight power. But let’s face it, good analytic programs take work. Here is a roadmap for enterprise analytic revitalization from management consultancy and services provider Accenture.
BlogHarvard thesis asks about time, human behavioral roles in analytics
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Where do young IT professionals (30 and under) obtain information to aid with daily role responsibilities and career development?

Trade publication websites 14%
Social media 23%
Vendor websites 4%
Vendor/community forums 7%
Newsletters 1%
Trade conferences/meetups 2%
RSS feeds 6%
Web search 44%

 

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