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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).
Almost every application can profit from better data base management. Someone...
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.
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
Data Mining in Health Care Data mining has been used both intensively and extensively in many organizations.in the healthcare industry data mining is increasingly becoming popular if not essential. Data mining applications are beneficial to all parties that are involved in the healthcare industry including care providers, HealthCare organizations, patients, insurers and researchers (Kirby, Flick,.&Kerstingt, 2010). Benefits of using data mining in health care Care providers can make use of data analysis in
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Data Mining The amount of knowledge available in today's world is massive. The information technology specialist who's responsible to his or her organization for maximizing the capacity for practical usage of this knowledge, it is becoming increasingly difficult to have a total grasp of the problem. The purpose of this essay is to discuss the importance of implementing data warehousing and mining systems inside an organization. In order to do this,
The use of databases as the system of record is a common step across all data mining definitions and is critically important in creating a standardized set of query commands and data models for use. To the extent a system of record in a data mining application is stable and scalable is the extent to which a data mining application will be able to deliver the critical relationship data,
Computer Science The overall theme or focus: The media industry is an industry that is resistant to the validity of data mining and the kind of insight data mining in this field could yield. There are two primary pieces of software with respect to film and television editing. They are Avid and Final Cut Pro, while there are more programs available. The latest version of Final Cut Pro, FCPX, takes more a
Growth Aided by Data Warehousing Adaptability of data warehousing to changes Using existing data effectively can lead to growth Uses of data warehouses for Public Service Getting investment through data warehouse Using Data Warehouse for Business Information Ongoing changes in Data Warehousing The Origin of Data Warehousing and its current importance Relationship between new operating system and data warehousing Developing Organizations through Data Warehousing Telephone and Data Warehousing Choose your own partner Data Warehousing for Societal Causes Updating inaccessible data Data warehousing for investors Usefulness