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.

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.
FeatureToday, researchers know only a fraction of those variant genes because they lack access to crucial genetic data. Vice President Joseph Biden could help them get the information they need.
FeatureLooking for a good conference or summit related to data analytics and business intelligence? There are lots to choose from this winter. Here are the upcoming events you should mark on your calendar.
This slideshow contains predictions of a frank and bold nature, which are intended for a mature data science audience.
BlogEnterprise architecture professionals must take a customer-oriented approach to developing their predictive analytics strategy and architecture.
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