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Service 03

Analytics, BI and Metrics

Governed golden datasets, a semantic layer, self-service enablement, executive and finance reporting.

The problem

Same metric, three different numbers.

Finance, product and the executive team each report a different figure for the same question. Analysts spend their time reconciling dashboards instead of answering new questions, and trust in the data erodes. Fixing it means agreeing definitions once and building them into the stack.

What we build

Numbers the business can rely on.

Golden datasets

Governed, documented tables for the entities and events that matter most.

A semantic layer

Metric definitions written once and reused by every dashboard and tool.

Executive reporting

A small set of trusted views for leadership, with clear definitions behind every number.

Finance reporting

Revenue and subscription reporting, such as ARR roll-forwards, that reconciles with the books.

Self-service enablement

Curated models and training so teams answer their own questions safely.

BI at scale

Dashboards that stay fast, consistent and maintainable as usage grows.

How we engage

Metrics audit

A fixed-scope review of your key metrics, definitions and reporting stack.

Embedded pod

1–4 engineers in your team to build the semantic layer and reporting.

Example deliverables

  • A governed semantic layer with documented metrics
  • Golden datasets for core business entities
  • Executive and finance dashboards
  • A metric dictionary your teams can search
  • Training and handover for analysts

Typical stack

  • Your warehouse
  • Transformation tooling
  • Semantic layer
  • BI tools
  • Data catalog
  • SQL
  • Python

We work with the tools you already run.

Book a call

Tell us what you are trying to ship.

A 30 minute call with us. We will tell you plainly whether we can help.