What Is Data Provenance? Why AI Buyers Ask Where Your Data Came From
By Andrew Smart, founder of MON$TER · About
Data provenance is the record of where a dataset came from, how it was collected and what has been done to it since. In a licensing deal, it answers the buyer's question: "Can we trust this data, and are you allowed to license it?"
What provenance covers
- Source: which system created the data (your CRM, ERP, scheduling or billing software)
- Collection: how and when it was gathered, and under which customer terms or privacy policy
- Changes: cleaning, merging, anonymization and removal of personal information
- Rights: who owns it and whether any contract limits how it can be used
Why AI buyers care
AI companies face growing questions about where training data comes from. Clean, documented business data from your own operations is easier for them to accept than scraped or unclear data. Strong provenance can make your data easier to place and smoother to review.
How to document it
- Write a short note for each system: what it holds, years covered and how records are created.
- Keep a data dictionary that explains each field.
- Record how personal information is removed. See what counts as PII.
- Gather your privacy policy and key customer agreements for your attorney. See is it legal to sell business data to AI?
This is general information, not legal advice.
What it can be worth
Published MON$TER ranges: an exclusive one-time sale typically lands at $50K-$1M, and a non-exclusive recurring license typically runs $300K-$3M per year. No amount is guaranteed and not every company qualifies. Buyers see a description first, never your raw data. Get a free valuation at /estimate/ or start at Business Data.