Nance

Two versions of the truth, one agent that compares them

Your warehouse knows every order and transaction. Your ledger knows what was booked. Nance queries Snowflake directly and reconciles the two, so nobody exports CSVs to find out where they differ.

Somewhere in your company, the same question has two answers. The warehouse says one number for last month's orders; the ledger says another. Finding out why means someone exports both sides to CSV, lines them up in a spreadsheet and spends an afternoon explaining a difference that turns out to be timing, a refund or a missing invoice. Next month, the same afternoon.

Nance removes the export step. It queries Snowflake directly through a role you control, compares operational data against the administration, and reports where they agree and where they do not. Revenue completeness checks run against real order data, bookings get their source detail from governed tables, and reporting draws on the warehouse instead of a copy of it. The comparison still happens; it just stops being your job.

What Nance automates with Snowflake

Ledger versus warehouse reconciliation

Nance compares what the warehouse says happened with what the administration says was booked, and surfaces exactly where the two diverge.

Revenue completeness checks

Order and transaction data in Snowflake becomes the reference for what should be invoiced. Anything missing from the books gets flagged.

Source data for bookings

When a booking needs operational detail, order lines, usage records, settlement breakdowns, Nance pulls it from the warehouse instead of asking someone to export it.

Reporting from governed data

Finance reporting draws on the same governed Snowflake data the rest of the company uses, so the numbers in your report match the numbers in the dashboard.

Scheduled consistency checks

Recurring checks between warehouse and ledger run on a schedule, so differences surface during the month instead of during the close.

Answers without an export

Questions that used to mean a CSV export and a pivot table become questions Nance answers directly from the data, with the query visible for review.

Connect Snowflake to Exact Online, Twinfield, Moneybird & Xero

Most Snowflake connectors are data pipes: they copy fields on a schedule and stop there. Nance is the connection and the colleague in one. It reads Snowflake, applies your rules and does the actual finance work in your accounting package, with approvals where you want them and every action logged.

Access and security

  • Scoped access that you grant per connection
  • Revocable at any time, without our help
  • Every action logged with its reasoning
  • GDPR-compliant, hosted in the EU
  • ISO 27001 certification in progress

Frequently asked questions

How does Nance connect to our Snowflake account?

Through a scoped, read-only connection by default: a dedicated role you create and control, limited to the databases and schemas you choose. Write access only where you explicitly grant it.

Does Nance build or manage our data pipelines?

No. Nance queries the data your team already maintains. It reads, reconciles and reports; data engineering and warehouse management stay with your data team.

Our warehouse models are complex. Does Nance cope?

Nance works with the schemas and views you point it at. Most teams expose a small set of curated views for finance, which keeps the queries simple and the answers trustworthy.

Who can see what Nance queries?

Every query Nance runs is logged with its context and result, and access is bounded by the role you assigned. You can review exactly what was read and why.

More in Data & databases

See Nance in action.

In 30 minutes we walk through a live demo: a simple ad-hoc question, then a workflow you automate on the spot. Bring a real finance task.

GDPR-compliant · data stays in the EU
ISO 27001 in progress