Remove Business Driver Remove Cost-Benefit Remove Data Quality Remove Risk
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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. The Data Governance Productivity Matrix.

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In-depth with CDO Christopher Bannocks

Peter James Thomas

I have accountability for the governance and quality through those processes and for making the data available for downstream consumers, like Analytics, Risk, Finance and HR. My role today boils down to 4 key objectives – data availability, data transparency, data quality and data control.