The pattern is familiar to anyone running finance next to a Google data stack. The answer to "did we invoice everything we shipped" lives in two places: an orders table in BigQuery and an invoice list in the accounting system. Comparing them means exporting both to CSV, matching in a spreadsheet and chasing the rows that do not line up. It works, it is slow, and it gets done less often than it should.
Nance does the comparison at the source. It queries your BigQuery datasets through a service account you control, checks event and order data against the administration, and reports the differences with the underlying records attached. Revenue completeness becomes a recurring check instead of an annual scramble, and finance reporting draws on the same governed data as everyone else. The spreadsheet step is simply gone.
