Data Valuation: How Much Is Your Company Data Worth?
"What is our data worth?" is one of the first questions owners ask when a business is closing or being sold. The honest answer is that there is no price list. Data valuation depends on what the records contain, how they connect, who has the right to license them and whether a buyer needs that kind of data at the time. This guide sets out the factors that matter, so you can judge your own digital records realistically.
Why data valuation is difficult
Most assets have reference prices, such as second-hand machinery, vehicles or stock. Business data usually doesn't. Two archives of the same size can be worth very different amounts, and the same archive can be valuable to one buyer and worthless to another. Data valuation is about suitability as much as volume.
The three common approaches
Cost approach
What would it cost to create the data again? This is useful for insurance or accounting, but it often overstates what a buyer will pay. The original cost of a project doesn't mean anyone wants its records.
Market approach
What have comparable datasets been licensed or sold for? Published prices for business data are scarce, and many deals are confidential. Treat any figure you see quoted with care, and check whether it relates to a similar type and quality of data.
Income approach
What income could the data generate through licences over time? This suits data that can be licensed non-exclusively to several buyers, but it depends heavily on assumptions about demand.
Factors that increase value
Linkage
Records that connect are worth more than isolated files. Examples are an enquiry linked to the quote, the revisions, the order and the final invoice, or a CAD revision linked to the work order and the inspection result. Linked records show decisions and their outcomes.
Depth and time span
Several years of consistent records from the same systems allow patterns and outcomes to be studied.
Specialism
Knowledge from a specialist trade or technical field is harder to find than generic office material.
Structure and metadata
Timestamps, version histories, job numbers and folder structures all make data easier to use.
Clean rights
Clear ownership, few third-party restrictions and manageable personal data reduce the buyer's risk.
Factors that reduce value
- Large amounts of personal or special category data
- Customer-owned designs or confidential client material
- Gaps, corrupted files or systems that can no longer be opened
- Unclear ownership, for example after a group restructure
- Data that is already widely available
Exclusive or non-exclusive
Whether a buyer gets exclusive rights affects price. An exclusive licence usually commands a higher fee from a single buyer. A non-exclusive licence can be granted to several buyers. Our guide to exclusive vs non-exclusive licences explains the trade-offs.
Who might pay
Buyers vary by data type. AI developers and data intermediaries look for real workflow records. Successor businesses may want customer and product data. Researchers may want long-run sector data. Read selling data to AI companies for what that market looks for.
How to prepare for a data valuation
- List each system, its date range and approximate size.
- Describe how records link, for example by job number or client code.
- Identify personal data and third-party restrictions.
- Confirm who has authority to license.
- Keep systems running until a decision is made.
A non-confidential description is enough to begin. You don't need to send files.
How McKays approaches value
McKays doesn't quote a figure until we understand the records, their rights and whether there is real demand. Where we don't see a route, we say so. Explore the sector guides for the record types common in your industry, or read our resources.
A worked way to think about your own archive
Rather than looking for a single number, score your archive against a few questions:
- Can one piece of work be followed from start to finish? For example, could a reader trace an enquiry through to the final invoice using only your digital records?
- How many years does it cover? Note any gaps where systems changed.
- How specialised is the knowledge? Would a generalist struggle to reproduce it?
- How much of it is about identifiable people? Estimate roughly what share of the content is personal.
- Who else has rights in it? List any clients, partners or licensors.
An archive that scores well on linkage, span and specialism, and has manageable rights, is worth a closer look. One that scores poorly may still be useful for a narrow purpose, but expectations should be set accordingly.
Who should be involved
A data valuation is better when the right people contribute. The owner or directors understand how the business worked. An IT provider knows where the data sits and what state it is in. An accountant can advise on tax and accounting treatment. A solicitor can confirm ownership and contract restrictions. In an insolvency, the office-holder leads, but often relies on directors' knowledge to interpret the records. Bringing these views together early avoids overstating value or missing problems that a buyer would find.
FAQ
Is there a standard price per gigabyte for business data?
No. Volume alone says little about value. Linkage, specialism and rights matter far more.
Can data appear on a balance sheet?
Internally generated data is not usually recognised as an asset under UK accounting standards, but it can still be licensed or sold. Ask your accountant.
Does old data have value?
It can. Long, complete histories with known outcomes are often more useful than recent fragments.
Will removing personal data reduce value?
Not necessarily. Many buyers prefer anonymised or pseudonymised data, provided the structure and links are kept.
How long does a valuation take?
It depends on the archive. An initial view from a description can be quick. Detailed assessment comes later, under confidentiality.