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Data & Analytics

Build more with BigQuery.

Query and analyze data in BigQuery. Shape those capabilities into a system that fits your team.

See what you can buildGet a starter prompt

Build concepts, not preinstalled apps. Provider plans, permissions, and API availability apply.

The possibilities

What could you build?

01

Business metrics workspace

Put approved warehouse queries into a focused view for operational decisions.

02

Data quality workbench

Turn selected query results into a review queue with owners and resolution notes.

Start with the business metrics workspace.

Keep the first version small enough to test with the people who will use it.

  1. 01
    BigQuery
  2. 02
    Business metrics workspace
  3. 03
    Reviewed next action
  1. 01

    Choose the first job

    Use the first idea as your brief: Put approved warehouse queries into a focused view for operational decisions. Name the person responsible and the information they need to act.

  2. 02

    Confirm access before connecting

    Use approved datasets and a scoped identity. Limit query cost and show refresh times.

  3. 03

    Shape the app with Scout

    Use the starter prompt below. Ask Scout to propose the records, source field mapping, views, and access rules. Preview sample data before connecting BigQuery; keep source IDs so records stay traceable.

  4. 04

    Pilot, then expand

    Test with a small approved dataset and a least-privileged user. Check missing records, revoked access, repeated events, and failed requests. Enable live writes or messages only after the responsible owner approves the workflow.

Start with this prompt

Paste into Scout, then adapt it to your team. Do not paste credentials or private customer data.

Create this app with BigQuery: Business metrics workspace. Put approved warehouse queries into a focused view for operational decisions. Start with sample data and a small, approved set of records. Before connecting live data: Use approved datasets and a scoped identity. Limit query cost and show refresh times. Propose the data model, access rules, and source-to-app field mapping before implementation. Add source links, a last-updated time, and clear empty and connection-error states. Keep credentials out of client code. Require human approval for external messages, source changes, or money movement. Test duplicate events, revoked access, and recovery before publishing.

Make it work your way.

Start with Scout, or map the first build with our team.

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