7 data quality management myths debunked

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Busting 7 Myths about Data Quality Management

Sponsored by: Information Builders

In recent years there has been a collective push in the business world to improve data quality, and although many organizations have made great strides, there is still room for improvement. One of the major hindrances holding corporations back from further improvement are the myths andmisconceptions about what makes up an effective data quality strategy. This informative paper takes a look at the top 7 data quality management myths and provides practical tips for how to design an effective data quality management strategy. Myths debunked include: Monitoring and reporting data quality does not eliminate errors Manufacturing quality practices are easily applied to data The business is responsible for data quality And more.

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