What % of your FP&A team’s time is spent analyzing vs. preparing data?
What % of your FP&A team’s time is spent analyzing vs. preparing data?
I’ve been thinking about this a lot lately.
Across several FP&A roles, I’ve noticed that a surprising amount of time isn’t spent on forecasting, business partnering, or decision support.
It’s spent on:
Exporting reports from multiple systems
Cleaning ERP extracts
Reconciling mismatched dimensions
Updating mapping tables
Fixing broken formulas
Chasing data owners
Rebuilding the same monthly files
By the time the data is finally ready, half the week is gone.
One of the biggest opportunities I see for FP&A over the next few years is automating the repetitive pieces of the process.
Things like:
Power Query for data preparation
Automated ERP extracts
Standardized mapping tables
API connections
Automated variance reporting
Exception-based reporting instead of manual reviews
The goal isn’t to eliminate FP&A.
The goal is to spend more time answering:
“What does this mean for the business?”
instead of:
“Why did this refresh fail?”
Curious what others are seeing.
What percentage of your team’s time is spent on data preparation versus actual analysis?