Search “modern data stack” and you get an architecture diagram with two dozen logos and one quiet message: you’re behind. You’re almost certainly not. Most marketing teams need a fraction of that — assembled in the right order, one layer at a time. The skill isn’t buying the stack; it’s knowing which layer your current pain actually requires.
Every stack is the same four jobs
Strip away the logos and it’s always these four, flowing from raw data to something a client can read:
When you actually need a warehouse
A warehouse is the right call far less often than vendors imply. You’re ready when most of these are true:
- You rebuild the same export by hand every single month.
- Two reports of the same metric sometimes disagree.
- You’ve hit a row limit, or a sheet takes a minute to open.
- You need history a platform only keeps for 90 days.
- More than two people edit the same source of truth.
- A client audit of “where did this number come from?” would make you sweat.
The layer everyone skips
Teams rush to buy storage and dashboards and skip modeling — the layer that turns raw rows into a metric everyone agrees on. It’s also the cheapest place to end the “whose number is right?” fight, because the definition lives in one tested, version-controlled file:
-- one definition of "spend": every source, one grain select date_day, channel, sum(cost) as spend from stg_ad_costs group by 1, 2
Build vs buy
Start with the one metric that causes the most arguments. Model it, test it, point a single report at it, and grow from there — the first clean, trusted number is what sells everyone on the second. Maven is the ingest-store-model layers as a managed service, so your team gets to skip straight to the part clients see. It’s also what makes a real reporting system possible instead of a monthly scramble.
Jamie Isabel
Founder at Maven
