We will explore a methodology for understanding and implementing Data Governance that relies on an ground up approach described by Michael Belcher from Gartner as using ETL and Data Warehouse techniques to build a metadata mart, in order to “boot strap” a Data Governance” effort.

We will discuss the difference between the communication required for data governance and the engineering approach to implementing the “precision” required for MDM, via Data Profiling.

With Data Governance can apply the age old management adage “You get what you inspect, not what you expect” Readers Digest.

We will describe how to implement a data quality dashboard in Excel and how it supports a Data Governance effort in terms of inspection.

Future videos will explore how to build metadata repository as well as the TSQL required to load and update the repository and the data model as well as column and table relationship analysis using the Domain profiling results.