CDO Matters Podcast CDO Matters Ep. 72 | The Data Doom Loop
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Mar 20, 2025 Ken Stott, Enterprise Field CTO at Hasura, discusses the pervasive Data Doom Loop that plagues organizations investing in data without tangible results. He explains how increasing tech complexity leads to dissatisfaction and emphasizes the critical balance between centralized and federated data management. Stott dives into data observability's role in enhancing quality and pipeline reliability, addressing challenges in post-publication data management, and the integration of AI to combat data silos for better collaboration.
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The Data Doom Loop
- Companies are stuck in a data doom loop, continually investing in data but not seeing results.
- This loop is driven by dissatisfaction with current data ecosystems, leading to more investment and complexity, perpetuating the cycle.
Integration Challenges in Data Ecosystems
- Data ecosystems face integration challenges due to the diversity of stakeholders.
- While data mesh aims to address scalability through federation, the necessary integration tools and philosophies haven't fully matured.
Universal Semantic Layer
- There's a need for a universal semantic layer where domains define and advertise their data definitions.
- This layer enables linking terms, managing semantic differences, and improving communication across the organization.