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There's a famous quote, most often attributed to Peter Drucker, that says culture eats strategy for breakfast.

It's been repeated so many times that it's almost lost its punch. Which is a shame. Because it's still absolutely true. And for data leaders specifically, it might be the single most important thing you never think about.

Most Heads of Data I speak to are consumed by the work downstream. Roadmaps, platforms, team structure, stakeholder relationships, never-ending backlog of BS data requests.

What very few of them have stopped to properly interrogate is the cultural environment in which all of that work is supposed to land.

In my experience, this is exactly why so many well-designed data initiatives die a gruesome and violent death 💀

And it’s not because the strategy was bad or because the team wasn't capable. But because the organisation simply wasn't ready to receive what was being built.

When you step into a Head of Data role, the implicit promise is this: here is a team, here is a mandate, go build something.

What you’re not told is that "building something" is usually the easy part. Getting an organisation to actually use it, trust it, and change its behaviour because of it is a completely different challenge. The success of which almost entirely comes down to the domain of culture.

Data culture is not a soft and fluffy concept. It's the set of shared beliefs, behaviours, and norms that determines whether data is genuinely valued in an organisation, or whether it's tolerated.

In a strong data culture, people at all levels know why data matters. They trust it. They use it to make decisions. They ask good questions. They don't just request dashboards. They engage with insight and act on it.

In a weak data culture, data is a checkbox. Something the data team does. Something that gets presented in a slide once a quarter. Something people glance at before going back to their gut instinct.

The gap between those two environments is enormous. And yet most data leaders walk into weak data cultures, start building things, and then wonder why nobody's engaging with their work.

I want to be direct about something here.

If you've ever felt like the business "just doesn't get it", I understand that frustration completely. But that frustration you feel is a symptom of skipping a step.

The step is diagnosing your data culture before you commit to an initiative that depends on cultural support to succeed.

Launching a self-serve analytics platform in an organisation with low data literacy is not at all a data problem. It's simply a culture problem. Building a centralised metrics layer where leadership can't agree on definitions is not a technical problem. It's a culture problem. Pushing for data-driven decision making where executives routinely override the numbers is not a data problem. It's a culture problem.

The tool, the platform, the dashboard: none of it matters if the cultural environment isn't ready to receive it.

From my work with data leaders across industries, I’ve come to see data culture maturity through six pillars. Together, they show how ready an organisation actually is to support serious data work.

1. Leadership and Strategic Alignment - Does leadership genuinely believe data is a strategic asset? Not just say it. Actually behave that way when allocating resources and making decisions.

2. Data Literacy and Skill Development - Can people across the business actually read and interpret data? Literacy is the baseline requirement for any self-serve model or insight-driven culture.

3. Data Governance and Ethical Use - Is there shared agreement on how data should be defined and used? Without it, you get multiple versions of the truth, a credibility problem, and an organisation that stops trusting your numbers.

4. Data Driven Decision Making - When decisions are made, are they genuinely informed by data? Or is data used selectively to justify decisions that have already been made?

5. Collaborative Data Practices - Do data and business teams work together from the start of a problem, or does the business throw requests over the fence and wait for outputs?

6. Innovation and Adaptability - Is the organisation willing to experiment and iterate? Or does it demand certainty before committing to anything?

Organisations that score poorly across these pillars are difficult environments for data initiatives to succeed in. And the frustrating part is that no amount of technical excellence compensates for it.

Assessing your culture honestly means acknowledging the organisation may not be ready for what you're trying to build. That's hard to sit with when you've been hired with a mandate to deliver.

So instead, most skip the assessment and work required to remedy shortfalls and jump straight into delivery. And six months later they're back in firefighting mode, wondering why nothing has landed.

When this step gets skipped, a few things reliably follow. Initiatives land in a vacuum because the organisation lacks the literacy or trust to engage with them. You become the lone advocate for data value, carrying the entire argument yourself. Eventually, the folks around the business conclude that data is overhyped, and so are you.

Diagnose before you build. Before committing to any initiative that relies on adoption outside the data team, assess the cultural conditions it will land in. Be honest about what you find.

Make culture part of your leadership narrative. Data culture improvement should be something you name explicitly with your leadership team and tie directly to outcomes they care about. Poor data culture has a measurable cost. Make that cost visible.

Start with the pillars hurting you most. You do not need to fix all six at once. Identify the one or two doing the most damage to your current priorities and focus there first.

If this is landing for you, the most useful next step is getting a clear picture of where your organisation actually sits across those six pillars.

I've built a data culture assessment tool for exactly this purpose. It's a free online scorecard you can work through in your own time. It will give you a clear read on your organisation's data culture maturity and specific recommendations for what to prioritise.

If initiatives aren't landing the way they should, this is a very good place to start.

👉🏼 If you’d like to undertake a data culture assessment, I’ve got good news for you. Mine is currently free!!

⏩ You can access it here

Tristan Burns

Find me on LinkedIn or Book a 1:1 call