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Letters · 3 July 2026

Small businesses deserve a data team

The people running real businesses on real spreadsheets got priced out of knowing their own numbers.

There’s a quiet unfairness in how analytics has worked. If you’re a large company, you hire a data team, buy the platform, and your numbers become legible. If you’re everyone else — the shop, the agency, the clinic, the operator with a stack of spreadsheets and a business to run — you get told to become technical, or to do without. Most people, sensibly, do without.

The gap nobody fixed

It was never that these businesses lacked data. They’re sitting on it — every sale, every invoice, every booking, in a file they update by hand. What they lacked was the translation layer: the analyst who reads the file, catches the messy values, and turns “a spreadsheet” into “here’s what’s happening.” That role costs more than the whole problem is worth for a small operator. So for them, the role simply never existed.

It was never that they lacked the data. They lacked the analyst.

A time problem in disguise

Look closer and it isn’t really a data problem at all. The numbers are already in the file. Most operators could dig the answer out themselves — given a free afternoon, a couple of pivot tables, and the patience to reconcile three spellings of the same customer. But a free afternoon is the one thing they never get. The business runs on their hours, and every hour spent wrestling a spreadsheet is an hour not spent running the business the spreadsheet is about.

SMBs don’t have a data problem. They have a time problem.

That’s what an analyst really sells a large company: not cleverness so much as time — someone whose whole day is the numbers, so the founder’s doesn’t have to be. Give a small operator that same time back, without the salary, and the data stops being a problem at all.

Who this is for — and who it isn’t

blueberry. is unapologetically for that operator. Not for the enterprise with a data team and a steering committee; not for the person who wants to write SQL, happily. It’s for the one who knows their business cold, keeps the real numbers in a spreadsheet, and has never had a realistic path to understanding them without hiring someone.

If that’s you, you already know. The tools made you feel like the problem. You were never the problem. The price of a translator was.

Giving a small business the outcome of a data team — without the team — isn’t a downmarket version of enterprise analytics. It’s the thing that should have existed first.