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DataFramed

#193 [Radar Recap] From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization with Esther Munyi, Amy Grace, Stefaan Verhulst and Malarvizhi Veerappan

Apr 3, 2024
39:51
Snipd AI
Experts Esther Munyi, Amy Grace, Stefaan Verhulst, and Malarvizhi Veerappan discuss strategies for improving data quality, fostering trust in data governance, and balancing governance with accessible data. They explore the significance of data quality in decision-making, establishing trust in data governance, navigating the balance of data use and protection, measuring and ensuring data quality, and building trust in data discoverability within organizations.
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Podcast summary created with Snipd AI

Quick takeaways

  • Improving data quality is essential for driving trust, enabling better decisions, and gaining a competitive edge.
  • Balancing data governance with accessibility requires measuring data quality, industry standards, and aligning key components for success.

Deep dives

Importance of Data Quality for Effective Decision-Making

Data quality plays a crucial role in enabling business leaders to make better decisions by ensuring that data is accurate, relevant, complete, and consistent. Organizations can improve client experience, increase revenues, and gain a competitive advantage by focusing on enhancing data quality. Poor data quality can lead to incorrect decisions, frustrated clients, missed opportunities, and diminished product offerings.

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