Sifting Through Chaos: Applying a Quality by Design Approach to Data Governance

  • Why applying a Quality by Design approach to data governance is needed to prevent the high costs of data sprawl
  • How data governance ensures Data is FAIR and meets ALCOA++ requirements to ensure data integrity and reliability
  • The components of a comprehensive data governance framework, including data definition, discovery, remediation, reporting, alerting, and retirements
  • How to implement a phased approach to transition from data chaos to control