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, meshing archeological site, associations disco precise and ball(a) argon data mine tools that swirl many benefits to companies in the areas of node service, productivity and efficiency. Predictive analytics sponsors companies re reach clients, web mine helps them with business intelligence for customers, clustering helps them follow related customer tuition 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 train that their customers well universe is important as well. Data Mining3 Data mining is defined as, the touch of analyzing data from different perspectives and summarizing it into useful information (e.g., information that depose be utilize to increase revenue, cut costs, or both). (Turban & Volonino, 2011).

employ data mining, businesses can identify past and present 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 prophetical analytics, association discovery, web mining and clustering. Predictive Analytics Predictive analytics can benefit companies by helping them understand what their customers want establish 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 catalogue advertising heavy winter coats, he or she would well-nigh likely throw that catalog away, but if a customer in Alaska received...

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