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Data that earns the meeting.

Pipelines, dashboards, and workflow automation shaped around the decision that needs support, the source data, and the people who will operate the result.

[02]
§ Decision inputs

What we establish before a change.

Data ownership, operating controls, and acceptance criteria are defined in scope.

  • [1]
    Decision
    the operational decision the data must support
  • [2]
    Data
    source quality, ownership, and reconciliation path
  • [3]
    Control
    access, review, and exception-handling requirements
  • [4]
    Measure
    baseline and acceptance criteria agreed before change
[03]
§ Shapes

What we build.

  • [01] Airflow · dbt · Snowflake

    Data pipelines & warehouses

    Airflow, dbt, BigQuery / Snowflake / Postgres. Ingest → transform → model → serve. Versioned, tested, observable.

  • [02] Looker · Metabase · D3

    BI dashboards

    Looker, Metabase, or custom D3. Real-time when it earns its cost, batch when it doesn't. Built for the people reading them.

  • [03] Temporal · LLMs · Postgres

    Workflow automation

    Document classification, lead triage, ticket routing, ops handoffs. Human-in-the-loop where it matters, full-auto where it doesn't.

  • [04] Segment · BigQuery · GA4

    Marketing analytics

    Segment + BigQuery + attribution model. Stop arguing about which channel works; measure it.

[04]
§ Patterns

Data and automation under evidence review.

  • Portfolio dashboard pattern preview
    illustrative delivery pattern

    Portfolio dashboard pattern

    — evidence review pending
  • Document workflow pattern preview
    illustrative delivery pattern

    Document workflow pattern

    — evidence review pending
  • Marketing automation pattern preview
    illustrative delivery pattern

    Marketing automation pattern

    — evidence review pending
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