DataFramed
#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at Euno
Dec 12, 2024
Sarah Levy, the CEO and Co-Founder of Euno, shares her wealth of experience in data governance and science. She highlights the critical need for standardized metrics to foster trust in data-driven decisions. The discussion dives into the creation of a semantic layer to unify definitions and enhance collaboration among teams. Levy also explains the complexities of managing metric versions and balancing governance with innovation, emphasizing how these strategies can drive value and efficiency in organizations.
38:08
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Quick takeaways
- The lack of trust in data products among business leaders underscores the urgent need for robust data governance frameworks to ensure reliable decision-making.
- Implementing a semantic layer facilitates consistency in key metrics across teams, fostering collaboration and enhancing the accuracy of analytics as organizations leverage AI tools.
Deep dives
Challenges in Data Governance
A significant issue in data governance is the lack of trust business leaders have in their data products. Despite substantial investments in data infrastructure, many organizations struggle to trust the numbers being reported, leading to wasted resources and unreliable decision-making. The prevalence of varied definitions for critical metrics, such as customer acquisition costs, introduces confusion and inefficiencies, creating a chaotic data environment. This issue emphasizes the need for robust data governance frameworks to ensure consistency and reliability in data analyses.
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