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.

FeatureBetter data means not only cleaner data that avoids the classic “garbage in, garbage out” problem, but relevant data scattered across silos that has been identified, unified and prepared for analysis.
NewsAs games unfold, data from the sensors generate statistics -- lineup comparisons and player efficiency ratings, for example -- information that can be shared with coaches or fans.
FeatureThe complexity of big data, and the learning curve for data professionals charged with managing it, continues to grow, much to the frustration of many organizations.
FeatureXTX uses mathematical models that are tuned with massive data sets. It says its technology has computing power comparable to some of the world’s top supercomputers.
BlogThe Society for Information Management’s 2015 IT Trends Study found that “analytics and business intelligence” were the biggest investments IT departments made that year.
FeatureAbout one-third of U.S. gross domestic product, or $6 trillion, is generated by industries vulnerable to changes in the weather, according to John Dutton, president of Prescient Weather Ltd.
FeatureMarketing Analytics tools and techniques provide the keys to truly optimizing the ROI of your Omni-Channel program.
NewsAttune will leverage AIG’s data and distribution network, Two Sigma’s analytics capabilities and Hamilton’s small business knowledge to enhance the insurance underwriting process for the $80 billion market.
NewsThe insurer will use Valen’s “Predict” application, part of its InsureRight platform, to give underwriters increased visibility into risks and set consistent prices on different businesses New Mexico Mutual takes on.
NewsSeventy percent of the companies surveyed do not use robotic or automated technology, and about two thirds (65%) do not use data analytics other than for traditional cost and schedule analytics.
BlogIt's not a leap to suspect that organizations may be collecting data without then deploying it in ways that support deeper customer engagement.
With the proper analytical foundation, organizations now have the information needed to improve efficiencies, reduce costs and drive key enterprise changes. Perhaps benefitting the most from big data is IT. Here are five practical uses for predictive analytics.
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