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.

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.
FeatureIf successful, these supercomputers could give money managers and banks, whose algorithmic-driven technology already dominate trading, another advantage in a highly competitive market.
NewsSAP on Tuesday announced Foundation for Health, a new product that lets doctors and researchers collect and analyze medical data such as research, electronic health records and human genome sequences in a single system.
FeatureDigital marketing is now mainstream and digital commerce is a top priority for marketers, according to a survey of marketing executives conducted by Gartner Inc.
FeatureThe explanation is likely that families increasingly view surveys, whether by political pollsters or government officials, as too time-consuming, annoying, and intrusive of privacy. The result: bad data baselines.
NewsThe biggest U.S. banks, alarmed by the growing use of data-hungry apps that help consumers track their finances, are offering a technological compromise.
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