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Essay / Research Paper Abstract
This is a 7 page paper discussing data mining. The increasingly competitive markets have resulted in the development of more sophisticated business intelligence tools which can be applied to data warehouses. Data mining tools have been developed to not only give businesses the advantage of analyzing past and present data within their organizations but also allow future trends and analysis of customer behavior among other significant factors which give businesses an increase in focus in customer relations and marketing in a more efficient and non-redundant manner. Included in the paper is a 1 page outline, description of the leading data mining tools and an example of a business (PNC Bank Corp.) who purchased a data mining tool (Unica’s Model 1) in order to give them a competitive advantage in regards to marketing and expanding their customer satisfaction base.
Bibliography lists 6 sources.
Page Count:
7 pages (~225 words per page)
File: D0_TJdatam2.rtf
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Unformatted sample text from the term paper:
Mining a.) Introduction Data mining, also known as "data discovery" or "data knowledge" allows the user or the company implementing it to "take apart [a] data warehouse, dissect it piece-by-piece,
and then summarize it into useful information". III. Types of Data Mining Tools Available a.) Overall Account Although there are a number of data mining tools available, such as Cognos
Scenario TM, Angoss Knowledge Suite (used by Microsoft), Unica Model and SPSS Clementine among others, the selection of a tool depends largely on the type of user. b.) Preparation for
Data Mining Regardless of the type of package wanted by the user, the first step in preparation to installing a data mining tool is to clean up the data warehouse
currently housed in company. c.) Popular Data Mining Tools e.g.) products by SPSS, SAS, Oracle, Unica, and SGI. d.) Comparison of Data Mining
Tools There are several companies and tools which are considered as leaders in the market: Enterprise Miner by SAS; Darwin by Oracle; Model 1 by Unica; and, MineSet by SGI.
IV. Example of Company Using a Data Mining Tool for Competitive Advantage a.) PNC Bank Corp. & Unicas Model 1 PNC Bank Corp., one of the largest diversified financial organizations
in the United States, decided to purchase Model 1. V. Conclusion Those businesses which apply data mining tools will have the advantage in that they can provide faster services to
their customers but also can more quickly and efficiently analyze marketing campaigns which reflect customer preferences and upcoming trends allowing them to target customers more easily.
I. Introduction The increasingly competitive markets have resulted in the development of more sophisticated business intelligence tools which can be applied to data warehouses. Data mining tools have
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