Subscribe Sponsorship Opportunities About Us Search

DGIQ-EDW25: Practical Data Governance Metrics

This is Subscription-Only Content, It is NOT purchasable as a separate product

As the old saying goes: “You can’t improve what you don’t measure.” But from a Data Governance standpoint, the question becomes WHAT should you measure? How do you focus on measurements that tell you how Data Governance is performing, such as the quality of the metadata and where the process of collecting and using data and metadata could be improved? You must also exercise care not to measure things that others are (or should be) measuring.

This presentation provides guidance and examples of effective and practical metrics that meet these criteria. While doing so, it keeps the real-world limits of resources in mind and centers on how the most valuable metrics can be collected. You will learn:

The benefits and techniques of identifying the correct metrics
Understanding Issues, Goals, and Impacts to metrics
Ownership and Participation metrics
Data Governance Operations metrics
Metadata Management metrics
Process impacts on Data Governance metrics
Data Quality issue metrics

Speaker: David Plotkin

David Plotkin is the recently retired Director of Metadata Services at a large international bank. Over his career, he has been responsible for managing business and technical metadata, being the business owner of DG-related tools such as Collibra DIC and has held several positions as head of data governance and data stewardship for several insurance companies and large banks. He also held positions managing data quality at two large banks.

He is a subject matter expert on many topics around metadata, data governance, and data quality. He is the author of the book "Data Stewardship, an Actionable Guide to Effective Data Management and Data Governance," now in its second edition.

Since his retirement, he has been actively engaged in "giving back" to the data community and has helped several organizations become more successful in managing their data, instituting data governance, and implementing data governance-related tools.