CDO Matters Podcast
CDO Matters Ep. 72 | The Data Doom Loop
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.
38:14
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Quick takeaways
- The Data Doom Loop highlights how increased investment in data technologies fails to improve outcomes without addressing organizational complexities.
- Implementing a semantic layer for governance can enhance data integration and collaboration, bridging gaps in understanding across diverse data environments.
Deep dives
Understanding the Data Doom Loop
The Data Doom Loop refers to a cycle observed in large organizations where dissatisfaction with data ecosystem results prompts increased spending in data-related technologies. Despite these investments—which have risen consistently over the past several years—data maturity scores remain stagnant, indicating that higher expenditure does not guarantee improved outcomes. This loop reflects a tendency to address perceived data issues by piling on more complexity, often leading to further dissatisfaction. Ultimately, this pattern underscores a critical flaw in the strategy of relying solely on technology to solve data problems without considering broader organizational factors.
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