This 10 page paper explores data mining, the new trend to compile data on individuals. Data mining is defined and explained. Ethics are explored. Bibliography lists 10 sources.

A 5 page research paper that focuses on Data Warehousing. It begins with an introduction and brief history of communications/technology then defines the current usage of data warehousing. In lists 3 factors that can be used to evaluate a warehousing system and gives areas of focus for utilization of the system. Nine benefits of data warehousing are delineated and followed by a brief look at the advantages over current systems. The paper ends by looking to the future and the possibility of a Virtual Warehouse System. Bibliography lists 8 sources.

A 4 page paper which explains how data mining works, offers specific details about the practice, and examines future developments. Bibliography lists 4 sources.

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.

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.