Data Modeling

Data Mining1 Data Mining Kelly Lynch Dr. Sergey Samoilenko, PhD Information Systems and engineering science Strayer University declination 3, 2012 Data Mining2 Abstract Predictive analytics, vane archeological site, associations disco precise and ball(a) argon data digging tools that post many benefits to companies in the areas of node service, productivity and efficiency. Predictive analytics back ups companies deduct clients, web archeological site helps them with business intelligence for customers, clustering helps them pay back related customer study and associations discovery helps them with products. However, with these data mining tools, there are some concerns regarding privacy that have been raised by consumers. part data mining provoke help companies work much efficiently, companies shouldnt for establish that their customers well organism is important as well. Data Mining3 D ata mining is delimit as, the touch of analyzing data from different perspectives and summarizing it into useful information (e.g., information that muckle be apply to increase revenue, cut costs, or both). (Turban & Volonino, 2011).

employ data mining, businesses can identify past and depict behaviors in their customers to make better decisions for the future of their companies. The Benefits of data mining Data mining can benefit businesses by employing prognostic analytics, association discovery, web mining and clustering. Predictive Analytics Predictive analytics can benefit companies by helping them un derstand what their customers want base on ! their acquire behaviors in the past. In traditional marketing, companies used to bombard all of their customers with emails, TV ads and junk mail in rule to tell on product; a very costly and wasteful counsel to advertise. For example, if a customer in Miami received a compileue advertising heavy spend coats, he or she would well-nigh likely throw that catalog away, but if a customer in Alaska received...

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