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06 / 06 · BI & DATA

Decisions in hours. Not weeks of reconciling spreadsheets.

We model your data, build the warehouse and ship dashboards your team actually uses. Single source of truth from operational systems to executive reporting — and the metrics dictionary that keeps everyone honest.

01 · STACK

Tools we deploy.

WAREHOUSE

BigQuery / Snowflake / Postgres

Choose by volume, cost profile and existing infra. We do not push a single vendor — we push fit.

INGESTION

Fivetran / Airbyte / custom

Managed connectors when available, custom ETL with Python / dbt when sources are niche or private.

TRANSFORM

dbt

Versioned SQL, lineage, tests, docs. Your metrics dictionary lives in code — reviewable, auditable.

VISUALIZATION

Metabase / Looker / Power BI

Pick the BI tool your team already knows. We optimize the warehouse to feed it fast.

02 · USE CASES

Where we deliver value.

  • Executive dashboards with single source of truth
  • Sales / marketing funnel analytics
  • E-commerce cohort & retention analysis
  • Operational KPIs (SLAs, throughput, cost-to-serve)
  • Financial reporting & regulatory data marts
  • Foundation layer for AI/ML use cases (clean data first)
03 · METRICS DICTIONARY

One definition per metric. Across the company.

The biggest hidden cost in most data orgs: marketing’s "active user" is not finance’s "active user." We codify metrics in dbt with tests and lineage — so every dashboard reports the same number, and any change is reviewable as a pull request.

dbtPostgreSQLBigQueryMetabaseGitHub Actions
04 · GOVERNANCE

How we keep data honest.

  • Lineage automated end-to-end — every dashboard traces back to source columns.
  • Data quality tests in dbt (not_null, unique, accepted_values, custom).
  • Access control by role: PII isolated, audited, masked when possible.
  • Documentation generated automatically — never out of sync with the warehouse.
  • Cost monitoring on the warehouse (queries, storage, slot usage).
  • Backup & disaster recovery plan, tested with restore drills.
05 · PROCESS

4 phases, end-to-end.

01 · AUDIT

1-2 weeks

Inventory sources, current reports, conflicting metrics. Prioritize by business impact.

02 · MODEL

2-3 weeks

Dimensional model (or one-big-table per use case). Metrics dictionary. Owner per metric.

03 · BUILD

4-8 weeks

Ingestion + dbt transformations + tests + first dashboards. Stakeholder reviews weekly.

04 · OPERATE

Continuous

Monitoring, cost optimization, new metrics on-demand, quarterly governance review.

Drowning in conflicting reports?

30-min data diagnostic. We surface the highest-value metrics to unify first.

Schedule diagnostic →