The Importance of Data Quality Management
Abstract
This chapter analyzes the role of data quality management in response to the rapid evolution of data in our world. It discusses the impact of poor-quality data on organizations, focusing on the costs and risks associated with poorly managed data. In many organizations, poor-quality data is tolerated to a degree that poor-quality products would not be. Data quality management reduces the costs and risks of poor-quality data and enables the benefits and opportunities of high-quality data, especially in an age of big data, digital transformation, and artificial intelligence.
Keywords
Quality management; process management; data quality management; data governance; costs of poor quality; big ...
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