Predictive Analytics

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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.

FeatureBoston Consulting Group recently identified poor quality of Big Data as that “horseshoe nail” that could lose wars.
FeatureEssentially, user and entity behavior analytics (UEBA) brings statistic profiling and anomaly detection based on machine learning to security.
FeatureAt MassMutual’s data science lab, members of a developmental program work side by side with company veterans on complex analytics projects.
Last week research firm Gartner unveiled its picks for the Magic Quadrant of Top Business Intelligence and Data Analytics firms. It has followed that ranking up with its Magic Quadrant for Advanced Analytics Platforms. Here are the top firms in the “Leaders” and “Challengers” quadrants.
FeatureIf you work in information technology, particularly with massive amounts of data, it’s hard not to see Moneyball as a business intelligence story.
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FeaturePredictive analytics stops the silent customer churn by identifying four ways to retain customers.
FeatureEvery healthcare stakeholder agrees that it’s time for clinical data to get up and running. But just because everyone’s behind an effort certainly doesn’t make it easier.
FeatureBig data and predictive analytics show great promise when it comes to cyber defense because of their ability to transform massive amounts of data into actionable intelligence.
FeatureThe demand for business intelligence answers – in real time, no less – is bringing about three distinct trends in today’s predictive analytics process.
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NewsThe companies announced a partnership to leverage predictive analytics in making health risk analysis more effective.
FeatureThe nation’s largest healthcare data association is concerned that some provisions of proposed new healthcare IT legislation could stifle innovation and add complexity to the HIT landscape.
BlogA new approach called User Behavior Analytics (UBA), can eliminate this guesswork using big data and machine learning algorithms to assess the risk, in near-real time, of user activity.
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