Data & Analytics

Data Dashboards

We build dashboards that are useful in weekly decision meetings. That means consistent definitions, clean event schemas, and views that tie to actions—not vanity charts.
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How this engagement works

We build dashboards that are useful in weekly decision meetings. That means consistent definitions, clean event schemas, and views that tie to actions—not vanity charts.

We design metric layers, validated transformations, and role-based access. We implement QA checks to prevent broken dashboards after upstream changes.

What changes

  • Trusted reporting
  • Faster decisions
  • Less time reconciling numbers

What we deliver

Scope is written in concrete capabilities, so the team knows what ships and how it will be judged.

  • Metric definitions + governance
  • Role-based views
  • Data QA checks
  • Operational reporting cadence
  • Alerting for anomalies

Where it fits

  • Executive KPI dashboards
  • Ops dashboards
  • Revenue reporting
  • Experiment reporting

The working rhythm

  1. 1

    Define metrics

  2. 2

    Model data

  3. 3

    Build dashboards

  4. 4

    QA

  5. 5

    Rollout

Hand-off package

Dashboards

  • KPI views
  • Team-specific drilldowns
  • Documentation

Governance

  • Metric definitions
  • QA checks
  • Change management

Typical stack

Metabase/LookerDBTPostgres/BigQueryGit workflows

Questions we hear first

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Start with the smallest useful version

Tell us the outcome you need in the next 90 days. We will map it to a scope, a cadence, and the services that should sit next to this one.

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