5 Lies FP&A Teams Tell Themselves About Data Quality

Every finance leader swears their biggest issue is “data quality.”
It’s the universal scapegoat. The easy villain.

But here’s the uncomfortable truth: in most cases, the data is fine.
It’s the people and the processes that are broken.

These are the five biggest lies FP&A teams keep telling themselves:

1. “We can’t forecast because the data is dirty.”

Reality check: you don’t fail because the numbers are messy. You fail because the assumptions are lazy. “Dirty data” is often shorthand for “we didn’t bother pressure-testing inputs.”

2. “We’ll fix this once we implement an ERP.”

That’s like blaming potholes on the car and buying a Tesla. An ERP won’t save you from bad definitions, poor discipline, and broken ownership. Garbage in, garbage out — just in a prettier dashboard.

3. “It’s the accounting team’s fault.”

Timing differences, cut-off issues, and reconciliations aren’t what wreck your forecast. Pointing fingers doesn’t change the fact that FP&A owns insight, not excuses.

4. “We’ll solve this with more headcount.”

Adding analysts to a broken process is like bailing water into a sinking boat. You drown slower, but you still drown.

5. “It’s out of our control.”

The most dangerous lie of all. Control isn’t about perfection — it’s about owning the variance. You don’t need flawless data. You need consistent definitions, accountability, and discipline.

Why It Matters

Keep blaming “data quality” and you’ll never fix the real issue: process clarity. Until you do, FP&A will keep building fiction dressed up as numbers.

At The Schlott Company, we help CFOs and finance teams stop chasing “perfect data” and start building decision-systems that thrive in real-world messiness.

Because the problem isn’t dirty data. It’s dirty habits.