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Business intelligence and data warehousing

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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. – PowerPoint PPT presentation

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Title: Business intelligence and data warehousing


1
BUSINESS INTELLIGENCE AND DATA WAREHOUSING
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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.
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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).
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  • 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

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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.
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  • 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

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