Data Quality Management & Analysis

It covers the discipline and practice of Data Quality Management (DQM) in a multi-domain Master Data Management (MDM) framework. It discusses how to define and apply a DQM model consistently across a multi-domain environment, and how to expand the practice of DQM to an enterprise level. This chapter starts by presenting how DQM fits into a multi-domain MDM environment and how important it is to manage DQM strategies, decisions, and execution. It continues by introducing a DQM model that is critical to supporting and scaling the discipline beyond MDM. Finally, it covers a data-quality improvement life cycle, with the required steps and activities to analyze, plan, execute, and monitor data quality projects effectively and efficiently.

 

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