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Data Warehouse Case Study

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Words 1757
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Research Proposal
Modernizing a data warehouse for business advantage

Introduction
Ten years ago, Data Warehousing was largely unknown. Today most organizations relay on effective warehousing concepts to analyse data in efforts to predict future trends and assist in decision making. In this increasingly competitive business environment Data Warehousing is one of the most important developments in recent Information Systems. There is a large need to acquire data, anywhere at any time, thus there is a need for a development that can facilitate data from different sources with different formats.
What is Data Warehouse?
“Data warehouse is the hottest tool in information systems” (W.H. Inoman, 2002). A data warehouse is capable of organizing …show more content…
In 2002 a new team of senior management developed a customer management system as part of a strategic vision which was a major investment in a data warehouse. The CRM system relied on a data warehouse which was capable of maintaining the client’s behaviour in regards to their buying preference and value positions. The intelligent system narrowed the Corporations focus in customer interactions (FAC, 2005)
Modern organizations want to capture new data sources to use as tools for business advantage. Business Intelligence (BI) techniques and analytics allow organizations to compete and grow under pressure based on insights of both organizations long and short term objectives. Modern operations need high performance and real time technologies that addresses user needs and react closely to market events. To assure capacity to growth in data, operational processes should be complemented by a well-structured Data Warehouse which is robust to increased data volumes, reports, and …show more content…
Fig. 1 Concept of a data warehouse A Data Warehouse can either be physically centralized and physically distributed or logically centralized and simply distributed (Ken Orr. 2011). However with today’s reliable local Network based servers, data warehouse is most likely to take advantage of the benefits of distributed computing, including:
• More systems that can run independently.
• Greater performance than a single system.
• Glitches are not concurrent, a glitch to one process doesn’t bring down the entire system.

The opportunities of expanding data are as big as the challenges. The most sophisticated traditional data warehouse is evolving to meet modern data enterprises. Volume increases are expected to continue. The increasing velocity within business will continue to change business operations.
Real time data warehouse aim to decrease the time it takes to make decisions by attaining zero latency between the cause and the effect of a specific decision, narrowing the gap between system processes and intelligent

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