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Business intelligence and data warehousing

This IT 812 business intelligence and data warehousing looks into the various factors including data warehousing, data mining and business intelligence as well the use and benefit of these for the modern day business organizations.

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Business intelligence and data warehousing

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  1. BUSINESS INTELLIGENCE AND DATA WAREHOUSING

  2. Introduction The topics which will be covered in this report are very significant for the companies in the modern day business environment in view of the fact that advanced information technology have become one of the major source of the companies worldwide. Due to the fact that the information technology and the related aspects have developed and advanced during the last few decades. http://www.ozassignmenthelp.com.au/

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  4. Analysis of the potential and actual uses of data warehousing and data mining in organizations Introduction to key terms To develop an understanding regarding the uses of data warehousing and data mining in organizations it is of utmost importance that a knowledge regarding the definition of various related aspects which will be involved. Definition of data warehouse and data mining: The definition of data warehouse can be given as a system infrastructure which can source, store, clean, extract and, confirm data into a dimensional data store. Introduction to data warehouse and data mining The data warehousing and data mining in organizations have become two very well used terms and concepts. During the past couple of decade data warehouses as well as data warehousing have gained a lot of ground for the purpose of developing and delivering business intelligence (BI). http://www.ozassignmenthelp.com.au/

  5. Actual uses of data warehousing and data mining in organizations • It is considered by the experts on the data warehouse that the various data stores are related as well as connected to each other physically in addition to conceptually. • Potential uses of data warehousing and data mining in organizations • Financial Data Analysis • Retail Industry • Telecommunication Industry http://www.ozassignmenthelp.com.au/

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  7. Ethical and logistical issues associated with collecting and analyzing business data in order to obtain business intelligence 1. collecting and analyzing business data in order to obtain business intelligence As has been seen, on the basis of the data the companies tend to draw business intelligence through various data analysis and representation. As has been opined B de Ville, business intelligence are the technologies and application for collecting, storing as well as analyzing business data that helps the enterprise to make better decisions. http://www.ozassignmenthelp.com.au/

  8. 2. security and privacy issues associated with collecting and analyzing business data • For decades the security and privacy protection has been a concern for public policy. Especially during last couple of decades due to the rapid changes in the information technology and science the various modes of collection as well storage of data has grown.  • 3. data analysis and related issues associated with collecting and analyzing business data • Mining Methodology as well as User Interaction • Performance and Scalability • Issues Related to Applications and Social Impacts • Issues Relating to the diversity of Data Type http://www.ozassignmenthelp.com.au/

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