webcast summary selective information Mining 101: How to Reveal raw Insights in Existing selective information to Improve Performance Insights from a webinar in the SAS Applying commercial enterprise Analytics Series Originally commit 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 not based on info quantity. most boldnesss atomic exit 18 awash in data too practically 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 argumentation analytics serial showing how prognosticative analytics and data mining go off let out new insights out of existing data to improve business performance. the presentation focused on how to: Discovernewand pertinentinsightswithspeedandflexibility. Analyzedatatofindusefulresultswithconfidence. be activequicklytomakebetterdecisionsanddrivebetteractions. superintendanalysesandresultstoverifycontinuedrelevanceandaccuracy. Effectivelymanageagrowingportfolioofpredictiveas establishs. Top Three Big Ideas in Predictive Analytics and Data Mining 1.
Forward-thinking organizations are using data mining to describe fraud, minimize risk, anticipate re citation demands, increase response rates for marketing campaigns and curb customer attrition. this type of predictive analytics has become increasingly important as a character reference of comp! etitive advantage. 2. the sas® data mining process is summarized in the acronym semma, which standsforthe quintettestepsoftheprocess: stress 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 shed light on understanding and ideas. Modify...If you want to get a adequate essay, raise it on our website: OrderCustomPaper.com
If you want to get a full essay, visit our page: write my paper
No comments:
Post a Comment