Data foundations for consumer brands

Your team's next question is already answered.

The data foundation behind it, built for consumer brands without a data team.

Fixed fee  ·  Fixed scope

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Why now

Your team is already asking AI
about the business.

Someone in marketing keeps a chat window open next to the ad platform. Finance hooked an assistant up to last quarter's spreadsheet. Both of them get a confident answer back, and they rarely get the same one.

Scattered data always carried that risk. AI just delivers the disagreement faster, and in nicer formatting. The companies that settle the foundation first get the other side of it: people answering their own questions from numbers everyone already agrees on.

The work itself has gotten lighter, too. Tooling that used to need a data team to keep it upright can now be built in weeks and handed to the people who use it every day.

Getting ahead of it now is a lot easier than untangling it in a year.

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How an engagement runs

It starts with two weeks
under the hood.

By the end of the sprint you know what the build involves and what it will cost, down to the monthly platform bill, before committing to any of it. Fees are fixed and quoted in writing after a first conversation.

01

Blueprint Sprint

Two weeks · Fixed fee

I sit down with the people who own each system and trace where the data actually lives, which also sorts out what a connector can handle and what needs building. You come away with agreed definitions for the metrics finance and marketing both report on and a fixed-price plan for the build.

Useful on its own, whoever ends up building it.
02

Foundation build

Six to nine weeks · Fixed price from the sprint

The warehouse goes up with cost controls already in place. Around week four or five your first team is looking at their own numbers, and the rest of the sources join something that already works. Monitoring keeps an eye on every connector, and the documentation is written for whoever runs it next.

Built to run without me watching it.
03

Extend

Test drive and warranty, then your call

Your team gets time to use what was built, and anything that isn't right gets fixed at no charge. After that you can run it yourselves with the documentation and training in hand, or keep me around on a monthly retainer for monitoring and new reports.

Most clients keep a light retainer instead of a data team. Some don't need either.

The stack is usually a cloud warehouse like BigQuery or Snowflake, managed ingestion through Fivetran or Portable, dbt for modeling, and a BI tool such as Omni, Looker, or Sigma. You pay the platforms directly, and the sprint pins that number down before anything gets built. Syncing only what gets used keeps it low.

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Work

What the work has looked like lately.

An activewear brand in the $50M range

Every team had its own version of the numbers, stitched together from NetSuite exports and a heroic amount of Excel. The warehouse came together one source at a time, and finance and marketing now work from the same governed views.

A furniture brand that ran on spreadsheets

Years of spreadsheet formulas became SQL models, including a product model built to grow with the catalog. Once the core dashboards were trusted, a second phase pulled vendor and quality data out of Airtable and into the same warehouse.

A PE-backed education company

Leads were going missing somewhere between the website and Power BI. We traced the whole path through the CRM and the warehouse, then handed leadership a plan to close the gaps in order of impact.

Smaller projects come through too, like an attribution audit or a working session with a leadership team on its AI plans.

Get in touch

Let's see if it's a fit.

Seek takes on a few engagements at a time. If someone who has worked with me sent you here, replying to that thread is the quickest way in. Otherwise, the form works, and I read every one.

Nothing gets relayed through an account manager, rescoped by a team you have not met, or lost between the people who sold the work and the people doing it. The person you talk to is the one building it.

Or email matt@seekanalytics.com

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