Set up a simple data pipeline.

Get data out of scattered tools and into one place worth querying.

Why this matters

Most organizations have data in 5–10 SaaS tools that don't talk to each other. Pulling reports means manual exports, copy-paste, and stale snapshots. A simple pipeline (a few scheduled syncs into one warehouse) pays off the first time someone asks a cross-tool question.

What to do

  • Pick a warehouse (BigQuery, Snowflake, or Postgres for smaller scale).
  • Use a managed ingestion tool (Fivetran, Airbyte) to sync your top 3–5 sources.
  • Add a transformation layer (dbt or simple SQL views) for shared definitions.
  • Connect a single BI tool on top; start with one.

Common pitfalls

  • Don't build pipelines for sources you don't actually report on.
  • Don't skip the transformation layer; raw tables are unreadable in six months.
  • Don't let everyone write their own metric definitions; nominate an owner.
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