The real reason your data team is underperforming?

You're using them like a dashboard concierge service.

And treating strategy like a synonym for “data stack.”

Here’s how most companies use their data team:

→ To build dashboards no one uses
→ To build dbt models that collect dust
→ To chase tool-of-the-month hype
→ To enforce rules no one understands

And leaders wonder why the data team feels burned out and the business still isn’t “data-driven.”

Data teams are often treated like:

• Internal service desks taking tickets
• Janitors cleaning up tech debt
• Compliance cops for naming conventions

But value comes when you flip the model.

Less output, more outcomes.
Less dashboards, more decisions.
Less data police, more collaboration.

Your job as a data leader isn’t to crank out reports faster.

It’s to stop the madness and ask: What are we even doing this for?

♻️ Repost if your dbt repo has more models than your stakeholders have questions

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