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Essay

An Analysis of Key Enterprise Data Concepts

Essay specific features

 

Issue:

Technology

 

Written by:

Linda S

 

Date added:

August 6, 2016

 

Level:

University

 

Grade:

A

 

No of pages / words:

4 / 863

 

Was viewed:

6479 times

 

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Essay content:

This information is used to make decisions regarding the direction of said organization. Many businesses offer solutions that propose to pull together data from a variety of sources into a single repository and then analyze the data to gleam whatever information is needed. Regardless of the overall solution recommended, there are 4 basic concepts that they all employ: ? Data warehouse ? Data mart ? Data mining ? 3-tier architecture...
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The format of the data is not as important as is the fact that the data is to be stored for as long as needed. Datawarehouses exist to: ? make it easier, on a regular basis, to query and report data from multiple transaction processing systems ? provide a repository of transaction processing system data that contains data from a longer span of time ? prevent persons who only need to query and report transaction processing system data from having any access whatsoever to transaction processing system databases ? use data models and/or server technologies that speed up querying and reporting and that are not appropriate for transaction processing...
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General issues of this essay:
Analysis of Bank customer Citi bank N.A and pay link service to customer Customer Relationship Management with respect to Recurring Deposit Account of SBI and ICICI Data mining in customer acquisition Legal constraints regarding the usage of customer data. What is an "opt-in"? Information Technology And Quality Customer Service Analysis of Healthcare Delivery System Multiple Response Data An Analysis of Key Enterprise Data Concepts Data Warehousing And The Information Superhighway data base managment concepts Enterprise Application Software for Various Information Systems Enterprise Data Management Terms Paper Enterprise Data Management functions of an Enterprise Data Management (EDM) system
 

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