tgroenwals shared this post · Apr 17
Sebastian Hewing

It took me 6 years to realize:

Data Quality was never the thing holding back my promotion.

All these years grinding to create "perfect data".

Until I finally came to the obvious conclusion:

Executives don't care about data quality.
They only care about revenue.

That gap is where most data work dies.

I once worked with a company where:

→ Customer Acquisition Costs looked too high
→ Marketing seemed underperforming
→ Growth was slowing down

So everyone tried to “optimize marketing campaigns.”

But the real issue?

We were measuring reality wrong.

And we we finally figured out how to frame "data quality work" correctly.

If you want to learn how:
✅ a "data quality project" made us 2x more money
✅ to connect messy data to better decisions
✅ to get stakeholders to finally care about data quality

👉 then have a look at this 6-minute read I recently shared with 3,000+ data experts in my weekly data strategy newsletter: https://lnkd.in/g3VKdsPt

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José Siles good enough data >>>>> perfect data! Apr 13 1 like
Narendra Cherlopalli In FP&A and strategic planning, nobody funds a data quality project. Everyone funds a project that fixes conflicting board numbers, eliminates a week of close rework, or stops the CFO from losing confidence in the forecast.

Data quality was never the pitch. The business outcome was.

In accounting and close, AI agents and automation workflows make this even more urgent — bad data does not just slow decisions anymore. It scales errors at speed. Frame the fix in revenue terms and it gets funded
Apr 13