Today's economy is a digital economy. Data is no longer just a byproduct of operations. It's also an asset class. But here's the catch: most of the value it creates has historically been captured not by the retailers generating it - but by the platforms collecting it.
That's changing. And the retailers moving first are the ones who'll define the next decade.
The cost of giving it away
For two decades, retailers have effectively rented out their data - to syndicated panels, to insight providers, to ad-tech platforms, to dashboards that turn around and sell aggregated views back to the same retailers. The economics never quite balanced for the retailer, but the alternative was building an analytics team and infrastructure that few could afford.
The default got expensive. Loyalty data sold once and lost forever. Promotion effectiveness measured by the supplier, not the retailer. Margin leakage you couldn't see because the dashboard wasn't yours.
What ownership unlocks
When retailers own their data, three things change in quick succession.
First, the data becomes a contribution centre, not a cost centre. Brands actively pay to see the shelf in real time. Governed, audited, anonymised where it should be - but real. That's a new revenue line for the retailer.
Second, supplier conversations shorten. When both sides walk into a category review with the same numbers, the meeting stops being a negotiation about whose data is right and starts being a decision about what to do next.
Third, AI starts working. The reason AI in retail has under-delivered to date isn't the model - it's the data underneath it. An assistant on top of untrusted data is a hallucinator. An assistant on top of verified shelf truth is an operator's analyst. The retailers who own their data are the only ones who can run the second kind.
How to start
Data ownership isn't a quarterly project. It's an operating decision. The retailers I talk to who've made the move started with three questions:
What data are we generating today, where does it live, and who else can see it? Most retailers can't answer all three precisely. That's the first audit.
What would we do differently if we had it in real time, governed, and queryable? This is the design question - and it almost always uncovers two or three workflows where the current data lag is costing real money.
What's the smallest first move that gets us there? Usually it's a POS-grounded data layer with verified provenance and a usable interface on top. That's what we've built at tapestry. Other approaches exist - the important thing is that the first move is small enough to ship.
The retailers reading this in five years will look back at 2025 as the year the question stopped being "should we own our data" and started being "how fast can we get there". The competitive advantage is real. The window is open. We'd love to help.