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How can you Measure the Success of your Data Governance Program?

Posted by:

Frank Stoffel

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  1. Data quality: One of the most important KPIs for data governance is data quality. This can be measured by assessing the completeness, accuracy, consistency, timeliness, and relevance of the data. Data quality metrics can be tracked over time to measure improvements in data quality.
  2. Data availability: Another key KPI is data availability, which measures the ability of the organization to access and use data when needed. This can be measured by tracking data availability metrics such as data uptime, data access speed, and data retrieval time.
  3. Data usage: Data usage measures the extent to which the organization is using data to support its business objectives. This can be measured by tracking metrics such as the number of data requests, the number of data sources used, and the number of data-driven decisions made.
  4. Data compliance: Compliance with regulatory requirements is another important KPI for data governance. This can be measured by assessing the organization's compliance with data privacy regulations such as GDPR, HIPAA, or CCPA.
  5. Stakeholder engagement: The level of stakeholder engagement is a critical factor in the success of a data governance program. This can be measured by tracking the number of stakeholders involved in the program, the frequency and quality of stakeholder communication, and stakeholder satisfaction with the program.
  6. Return on investment (ROI): Finally, the ROI of the data governance program can be measured by comparing the costs of implementing and maintaining the program with the benefits realized by the organization. This can include cost savings, improved efficiency, and increased revenue resulting from improved data quality and usage.