Data Warehousing, Data Mining One Term Paper

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Similarly, the Air Force needed no only some intelligent reporting capabilities, but a way that Air Force personnel, government employees, and civilian IT contractors would work together in the evaluation of applications and reports in a more robust and real-time manner. "The intent was to provide the Keystone user community the ability to do more complex financial analysis and reporting on a "self-service" basis to reduce overall system maintenance and development costs' (Air Force).

The SAP Business Object tools are useful for management and organizations that already have a decent set of data, but need access to it in ways that are more meaningful to the organization. For example, in the new social-media paradigm there are literally hundreds of different demographic and psychographic modifiers that might assist firms in moving from an older marketing paradigm to a new, service to the client model, all by using data mining and warehousing tools (Badroliwalla, 2009). Data mining can also be used to reduce losses within organizations by keeping a better track of inventory and waste, examining trends of usage in a way that a human could never do efficiently (Hadfield, 2009).

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Almost every application can profit from better data base management. Someone working on a dissertation, say, could profit from a more robust database manager by using it not only to write and integrate a bibliography, but to keep track of methods, research items, and/or even models within reference works. Small business owners can find ways to shave time and money from processes; and using a data mining concept, they can control their own costs and inventory management, as well as touch the customer more often in a way that is more conducive to long-term relationship building.

REFERENCES

Bardoliwalla, N. (December 1, 2009). The Top 10 Trends for 2010 in Analytics, Business Intelligence, and Performance Management. Enterprise Irregulars. Retrieved from: http://www.enterpriseirregulars.com/5706/the-top-10-trends-for-2010-in-analytics-business-intelligence-and-performance-management/

Hadfield, M. (2009). Jaeger uses data mining to reduce losses from crime and waste. Computer Weekly. Retrieved from: http://www.computerweekly.com/Articles/2009/02/23/234953/case-study-jaeger-uses-data-mining-to-reduce-losses-from-crime-and.htm

Thearling, K. (2009). An Introduction to Data Mining. Retreived from: http://www.thearling.com/dmintro/dminto_2.htm

Ye, N. (2003). The Handbook of Data Mining. Mahwah, NJ: Erlbaum......

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