Why do many data governance programmes fail?

Often for lack of sponsorship, roles without allocated time, too many documents and weak links to real business problems, rather than for lack of tools.

Which change model should I use?

Any works if applied with discipline: for example ADKAR (awareness, desire, knowledge, ability, reinforcement) or Kotter’s steps. What matters is working on people, not just processes.

How long until it shows?

First visible results usually arrive within months if you start with a small domain with real pain; culture takes longer.

Change management in data governance: how to get people to adopt it

Q: How do I measure adoption?

With simple indicators: percentage of critical data with an owner, use of the catalogue and glossary, incidents resolved on time and participation in forums.

The mistake of starting with the tool

Imagine installing traffic lights in a city without explaining the rules or putting officers there at first. Drivers will go on as before. Data governance is the same: the tool marks the path, but change happens when people understand what is asked of them, why and what they gain.

Six levers of change

Visible sponsorship: an executive who defends it, allocates time and decides when there is conflict.
A concrete problem: start with a pain people recognise (numbers that do not match, duplicate reports) and show the improvement.
Roles with real time: a data owner without allocated hours is just a name. See data governance roles.
Simple, repeated communication: short messages, everyday examples and one fixed place to ask.
Practical training: short role-based sessions with your own cases; see how to build data literacy.
Reinforcement: recognise those who do it well and make the right thing easy (templates, shortcuts).

A 90-day adoption plan

Days 1–30: pick a pilot domain, identify those affected, name owners and capture the problem you will solve.
Days 31–60: define 5–10 critical data items with definition and owner; train the pilot group and test the process.
Days 61–90: measure, report results in a short forum and decide which domain comes next.

Typical resistance and how to respond

“It’s more bureaucracy”: cut steps; remove a report or a procedure in exchange.
“I have no time”: agree hours reallocation with their manager.
“This is my data”: clarify that ownership means responsibility, not exclusive control.
“We already tried”: acknowledge the earlier attempt and explain what is different now.

How to tell if it works

Combine activity indicators (data with owners, glossary completed) with outcome indicators (fewer quality incidents, less time searching for data). If you do not know where to start, the free diagnostic gives you a baseline.

Frequently asked questions

Why do these programmes fail?

Often for lack of sponsorship, allocated time and a link to real problems.

How do I measure adoption?

With a few simple activity and outcome indicators.

Informational and indicative content; it is not legal advice. Review your case with a qualified professional.

Where should the change start? Free data governance maturity diagnostic: a baseline in 5 minutes.

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