๐ฌ๐ผ๐๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐ถ๐ ๐ป๐ผ๐ ๐๐ผ๐๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ฑ๐ผ๐บ๐ฎ๐ถ๐ป ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐.
I keep seeing companies investing heavily in modern data platforms while ownership stays completely unclear underneath.
On one client mission, the technical foundation was honestly solid. The catalog was connected, lineage existed, governance workflows were running and teams could already access a lot of data.
Yet every governance discussion turned into the same problem:
โณ Who decides?ย
โณ Who owns customer profitability?
โณ Who validates KPI definitions?
โณ Who arbitrates when two teams calculate the same metric differently?
๐ง๐ต๐ฒ ๐ถ๐๐๐๐ฒ ๐๐ฎ๐ ๐ป๐ผ๐ ๐๐ต๐ฒ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ. ๐๐ ๐๐ฎ๐ ๐๐ต๐ฒ ๐ฎ๐ฏ๐๐ฒ๐ป๐ฐ๐ฒ ๐ผ๐ณ ๐ฑ๐ผ๐บ๐ฎ๐ถ๐ป ๐ฎ๐ฐ๐ฐ๐ผ๐๐ป๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐.
A data domain is not just a way to group datasets by topic. It creates decision boundaries around business capabilities like customer, finance, HR or supply chain.
That boundary matters because governance only works when ownership becomes operational. Without clear domains, the platform becomes a very expensive shared storage layer where every important decision still needs meetings, negotiations and escalations.
Technology scales fast. Unclear ownership scales chaos even faster.
โโโ
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๐ Follow Mathieu Le Guรฉvel to fix Data Governance.
Governance only works when ownership is embedded in business domains, not just tools.
8h ago