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IDQ Webinars: with Dr Laura Sebastian-Coleman


Topic:

Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework

Abstract:

Laura Sebastian-Coleman will discuss the challenges of measuring data quality and review the Data Quality Assessment Framework (DQAF) described in her forthcoming book, Measuring Data Quality for Ongoing Improvement. Most experts agree that the ability to measure the quality of data is critical to improving the quality of data; but many practitioners struggle with how to measure.

The Data Quality Assessment Framework is a descriptive taxonomy that enables a common understanding of data quality measurement and assessment. It defines generic patterns of measurement related to the dimensions of completeness, timeliness, validity, consistency, and integrity. These patterns can be used to perform initial assessment of data or to define specific metrics for in-line measurement or periodic assessment.

Attending this webinar will provide you with insight on how to approach data quality measurement in your organization.  


Recording:

 

Speaker:

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Moderator:

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