Every company asks the same question: is our data worth anything?
Here is a fast way to think about it. Run the data through 3 questions. If the answer to all 3 is yes, buyers are probably interested.
- Can a lab scrape it? If the data is already public, the answer is no. Labs trained on the public internet years ago. What they need now is data they cannot get on their own: the inside of a business, recorded as it happened.
- Does it show expert judgment? The most valuable data captures decisions, not just records. An insurance adjuster's notes on why a claim was denied. A manufacturer's inspection log with the reasoning behind each fail. Support tickets that show how a hard problem actually got solved. If a smart person had to think to produce it, it is worth more.
- Do you have the right to sell it? This is where most deals die. Scraped data, data full of personal information that cannot be cleaned, data that belongs to someone else. If the rights are not clean, there is no deal, no matter how good the data is.
What fails the test: volume with nothing in it. A million rows of logs nobody ever looked at. Exported spreadsheets with no context. A terabyte of nothing is still nothing.
The pattern is simple. Buyers pay for data that teaches a system to do a job. If your data shows how work gets done by people who are good at it, it has value. If it does not, it probably does not.
If your company's data passes all 3, the next step is a short intake, not a guess.