Data Modeling

Data Mining1




Data Mining

Kelly Lynch
Dr. Sergey Samoilenko, PhD
Information Systems and Technology
Strayer University
declination 3, 2012















Data Mining2



Abstract
Predictive analytics, web archeological site, associations discovery and ball(a) argon data mining tools that offer many benefits to companies in the areas of node service, productivity and efficiency. Predictive analytics helps companies understand clients, web mining helps them with business intelligence for customers, clustering helps them find related customer information 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 forget that their customers well being 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 can be used 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 predictive analytics, association discovery, web mining and clustering.
Predictive Analytics
Predictive analytics can benefit companies by helping them understand what their customers want based 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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