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Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits by Larry P. English

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PART Two

Processes for Improving Information Quality

“It takes less time to do a thing right than it does to explain why you did it wrong.”

–HENRY WADSWORTH LONGFELLOW

How can one improve without guidance? How can one get to where one is going without a road map? Part Two is the guide and road map for information quality improvement. It defines the processes of information quality improvement as a management tool for business performance excellence.

Chapter 4 provides an overview of the TQdM (Total Quality data Management) methodology. It provides a thumbnail sketch of information measurement, assessment, and improvement processes. Chapter 4 further outlines a methodology for guidance in the data warehouse context. It also provides an overview of the ingredients required for a healthy environment for a culture of information quality as a management tool for business performance excellence. See Part Three.

The first three TQdM processes of quality improvement are assessment processes. These processes address how to assess data definition and data content quality, analyze the costs of poor information quality, and are the subjects of the next three chapters, respectively.

Chapter 5 describes the characteristics of data definition and information architecture quality and outlines how to measure and gauge quality. Without quality of information architectures that store the enterprise's knowledge resources, information quality will be much more difficult to achieve.

Chapter 6 describes ...

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