The Domain Shift: Moving Data Governance from Product Triage to Infrastructure Investment
The article discusses the need to shift data governance from a product-focused approach to a domain-centric model. This transition aims to resolve technical bottlenecks and enhance operational efficiency within organizations. By focusing on broader domains rather than isolated products, companies can better address systemic issues and improve governance outcomes.
- ▪Many enterprises operate formal governance programs, but up to 80% of data governance initiatives are projected to fail due to reactive approaches.
- ▪Approximately 53% of data governance teams still rely on manual processes, leading to operational bottlenecks.
- ▪Viewing governance through a product lens often obscures structural patterns, while a domain lens reveals systemic failures that need addressing.
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Data Governance The Domain Shift: Moving Data Governance from Product Triage to Infrastructure Investment How shifting the operational focus from isolated data products to systemic domain architecture resolves technical bottlenecks and optimizes platform investment. Alle Sravani May 26, 2026 8 min read Share An abstract representation of Governance by Design, made with GPT Image 2 In an earlier piece on the 2026 data mandate, I explained how the EU AI Act, the Cyber Resilience Act, and the Data Act are pushing organizations for structural mandates to transition from reactive compliance towards a systemic Governance-by-Design.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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