When to Move Your Analytics to a Data Warehouse (And How to Start)
At some point, tool-native analytics isn't enough. Here's when to invest in a data warehouse and the minimum viable architecture.
You don't need a data warehouse until you do. The signal is when you're spending more time combining data from multiple tools than analyzing it. When your marketing, product, and revenue data live in different systems and can't be joined, it's time.
The minimum viable data warehouse setup uses BigQuery or Snowflake as the warehouse, Fivetran or Airbyte for data ingestion, dbt for transformation, and Looker or Metabase for visualization. Total cost starts around $500/month for most B2B SaaS companies.
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We'll cover the decision framework (when to start, what to warehouse first), the architecture setup, the first three data models to build (marketing attribution, product usage, revenue), and the organizational changes needed to actually use warehouse data for decisions.
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