The VP of Finance at a US-based education holding company was spending 2 full days a week manually exporting QuickBooks Online data across 8 entities and pasting it into a shared Google Sheet. I built a pipeline that eliminated that entirely.
The VP of Finance recovered 2 full days a week — time she'd been spending on data entry instead of actual financial analysis. With the pipeline running daily, the team stopped making decisions from week-old numbers and started getting ahead of them.
From 2 days of manual QuickBooks exports to zero. Data accurate. Data current. Every morning.
Every Friday, the VP of Finance had a deadline: deliver updated financials for the entire group. To meet it, she spent 2 full days a week manually exporting data from QuickBooks Online — one company at a time, across 8 separate entities — and pasting it into a shared Google Sheet.
No automation. No pipeline. Just copy, paste, check, repeat.
The process wasn't just slow. It was fragile. One wrong cell, one missed export, one formatting inconsistency — and the numbers were off. At the scale of a multi-entity holding company, that kind of error isn't a minor inconvenience. It's a risk.
I designed and built a fully automated data pipeline from scratch — connected directly to the QuickBooks Online REST API, running on a daily schedule, writing clean output to Google Sheets automatically. Always current. Not just ready for Friday.
If your team is manually exporting, copying, or refreshing data that could run on a pipeline — that's time and accuracy you're leaving on the table.