The Problem with Traditional Data Governance

The conventional approach to data governance often involves cataloging technical metadata and assigning already overburdened business users to define and map business metrics to technical metadata by domain. While this sounds logical in theory, in practice, it fails—and here’s why:

1. No one wants to do this work. It’s tedious, low-priority, and often gets ignored.
2. It’s time-consuming. Business users have pressing responsibilities, and manual data mapping isn’t at the top of their list.
3. It rarely results in actionable outcomes. The effort is often disconnected from tangible business benefits, making it hard to justify.

A Smarter, Business-Driven Approach to Data Governance

Rather than forcing exhaustive data cataloging and mapping upfront, organizations should reverse the process and align data governance with specific, high-value use cases. Here’s how:

1. Pin down a use case with a measurable business benefit—one that a business executive actively sponsors.
2. Define business terms only for that use case. Focus on what’s necessary, rather than attempting to boil the ocean.
3. Map those business terms to technical metadata. Establish only the essential connections required to support the use case.

Why This Approach Works

This method streamlines data governance efforts and ensures they are directly tied to business value:

✔ Cuts down the workload by 90%+—focusing only on essential data governance tasks.

✔ Ties governance efforts to measurable business outcomes—ensuring continued executive buy-in.

✔ Turns data governance into a business enabler—helping solve real business challenges rather than creating extra work for business users.

The Shift from Data-Centric to Business-Centric Governance

Many organizations still view data governance as a data problem that needs business input. In reality, data governance should be a business problem that data enables. By prioritizing real business use cases, companies can achieve faster wins, greater adoption, and long-term success in their data strategy.

What Do You Think?

I’d love to hear from other data leaders—have you taken a business-first approach to data governance? What challenges or successes have you encountered? Let’s continue the conversation on how to make data governance practical, efficient, and outcome-driven.