This informative book goes beyond the technical aspects of data
management to provide detailed analyses of quality problems and
their impacts, potential solutions and how they are combined to
form an overall data quality program, senior management's role,
methods used to make improvements, and the life-cycle of data
quality. It concludes with case studies, summaries of main points,
roles and responsibilities for each individual, and a helpful
listing of "dos and don'ts".
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