Go Fig vs. Power Query for Financial Reporting

The Comparison at a Glance

Capability	Power Query	Go Fig
Primary strength	Hand-built ETL inside Excel and Power BI	Connected, governed model that builds the pulls for you
Who does the work	You author and maintain every query	Go Fig connects and transforms, you review
Data freshness	Manual refresh	Always live, on schedule
Where it runs	One analyst’s desktop	One governed model your whole team shares
Governance	None built in	Role-based access, audit trail, lineage
Traceability	Hard to trace a number back	Every figure traces to the source transaction
AI help	None, or paste into a public chatbot	Responsible AI, your data never leaves or trains a model
Surface	Excel and Power BI	The Excel you already use

What Power Query Does Well

Power Query earned its place. For finance teams it is genuinely good at:

• Flexible transformations: clean, merge, pivot, and reshape almost any data
• Familiar ground: it lives inside the Excel and Power BI tools people already know
• Repeatable steps: a recorded sequence you can refresh instead of redoing by hand
• No extra cost: it ships with Excel and Power BI

If your data lives in one or two places and rarely changes, Power Query can carry you a long way.

Where Power Query Falls Short as a Foundation

Power Query was built to let one analyst transform data. It was never meant to be the connective tissue for a company’s finances, and that gap shows up fast.

You Become the Pipeline

Every connection is a query you write, and then own forever. When a source adds a column, renames a field, or changes a format, the query breaks, and you are the one debugging it on the last day of close. The tool connects, but the manual work does not disappear. It moves into the query editor and stays on your desk.

It Lives on One Laptop

Power Query queries live in personal workbooks on a single analyst’s machine. When that person is on vacation or leaves, the close goes with them. There is no shared, governed source of truth, just a folder of files only one person fully understands.

Nothing Is Live

Power Query refreshes when someone clicks refresh. Between refreshes the numbers are stale, and there is no record of what changed or why. A wrong refresh, a stale source, or a broken fold can quietly put a bad number in front of leadership.

No Safe Path to AI

Finance and HR teams are told, correctly, not to paste financials into a public chatbot. Power Query gives you no governed way to use AI on your data, so the only option is the risky one. The smartest tool in the room is the one you are not allowed to use.

How Go Fig Works for Power Query Users

Go Fig keeps the part you like, working in Excel, and takes over the part you do not.

1. It builds the pulls for you: Go Fig connects your accounting system, ERP, CRM, bank, and spreadsheets and handles the transforms, so you stop authoring and babysitting queries.
2. It is governed and shared: one model with role-based access, audit trails, and lineage on every number, available to the whole team instead of trapped on one laptop.
3. It stays live: the model refreshes on schedule, and every figure traces back to the source transaction that produced it.
4. It uses AI responsibly: Celeste works on your data, inside your environment, and never trains an outside model or hands your financials to a public chatbot.
5. It works in Excel: results land in the workbooks your team already uses, so there is nothing new to learn.

The Bottom Line

Power Query made finance teams powerful at connecting and shaping data, but it left the work, and the risk, on one person’s desk. Go Fig keeps Excel as the surface you already know and takes over the rest: building the queries, keeping them live, governing the data, and doing it all without ever putting your financials into a public AI model.

The difference is who babysits the pipeline. With Power Query, it is you. With Go Fig, it is handled, and your numbers stay live, traceable, and yours.