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Hybrid Data Governance

Hybrid Data Governance
Hybrid Data Governance

Your governance is either a bottleneck or ignored. The data says 80% of companies can’t find the middle ground.

I used to think governance meant control. Build the rules, enforce them, done.

Then I watched teams build shadow systems in Google Sheets because the governance model took weeks to approve a new data source. That’s when I realized: governance that lacks adoption remains an aspiration, or worse, governance-washing.

The pattern is predictable: Rigid governance out of touch with business reality creates friction. Teams need to move. So they route around you.

Adaptive governance splits the difference: Central guardrails (security, compliance, core policies) with domain autonomy (local implementation within those guardrails).

Nearly one-third of companies are moving to adaptive structures. The ones that don’t? They’re in that 80% failure statistic.

Rigid governance doesn’t scale. Adaptive governance does.

Does your governance feel like a bottleneck or an enabler?

Written by Thomas Nys

Fractional Data Architect helping startups and scaleups build data platforms that scale.

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