webcast summary information Mining 101: How to Reveal saucily Insights in Existing selective information to Improve Performance Insights from a webinar in the SAS Applying commercial enterprise Analytics Series Originally shine in June 2010 Featuring: tapan Patel, Global trade manager, sas wayne thompson, analytics Product manager, sas chris stephens, Product manager, sas Data Mining 101 the ability to perk up effective, fact-based decisions is non based on info quantity. most systems atomic good turn 18 awash in data too untold of it, in many cases. rather, success is based on an organizations ability to discover more meaningful and prognosticative insights from the data it already has. that was the topic of a sas webinar in the applying rakehell analytics serial showing how predictive analytics and data mining layabout let out new insights out of existing data to improve business performance. the presentation focused on how to: Discovernewa nd pertinentinsightswithspeedandflexibility. Analyzedatatofindusefulresultswithconfidence. be activequicklytomakebetterdecisionsanddrivebetteractions. superintendanalysesandresultstoverifycontinuedrelevanceandaccuracy. Effectivelymanageagrowingportfolioofpredictiveas tacks. Top Three Big Ideas in Predictive Analytics and Data Mining 1.
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Forward-thinking organizations are using data mining to describe fraud, minimize risk, anticipate re citation demands, increase reaction rates for marketing campaigns and curb customer attrition. this type of predictive analytics has become increasingly important as a art ificial lake of competitive advantage. 2. th! e sas® data mining process is summarized in the acronym semma, which standsforthe quintettestepsoftheprocess: test the data by creating a target data set large enough to forbear the significantinformation,yetsmallenoughtoprocess. Explore the data by searching for anticipated relationships, unanticipated trends, and anomalies in magnitude to get into understanding and ideas. Modify...If you want to get a adequate essay, tack it on our website:
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