Data Warehousing

Paper Summary:

The paper explains that data warehousing is a method of bringing together all of a company's data from various computer systems, including those relating to customers, employees, vendors, products, inventory and financials. The data warehouse connects different databases together in order to offer a more comprehensive data set for making decisions. The paper considers how different ways of shaping such warehouses have been developed and how certain organizations have used them to gain control over data and over decision making. The paper concludes that evidence shows how, for organizations that can develop a strong system, data warehousing is worth the cost.

Outline:
Abstract
Introduction
Data Warehousing
Development of Data Warehousing
Examples of Data Warehousing
Conclusion

From the Paper:

"Databases have traditionally been used to track individual records, but today's computers can handle data of a much different type that is not easily converted into traditional relational database formats. In many operational information systems, the data represent a structured collection. One record exists for each item and each has the same set of attributes. Information systems also have validation and referential integrity requirements. There should be no duplications, and multiple references for the same classification of data should have the same characteristics (for example, the same address for multiple contacts at a single company in a customer database)."

Sample of Sources Used:

• Bradbury, Danny. "Data Warehouse." Computer Weekly, 14 May 1998, XII.
• Cushing, Karl. "XBRL is Too Complex for Adoption." Computer Weekly (20 May 2003), 25.
• *Deck, Stewart. "Users Seek Fix for Data Warehousing Woes." Computerworld, 2 November 1998, 17.
• "Digi Home Studio Product Line" Avid Technology, Inc., 1999. Internet address: http://www.digi001.com/index2.html.
• "The E-Business Portal Solutions Company." SageMaker, Inc., 2000. Internet address: http://www.sagemaker.com.

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