Data & Analytics

Business Intelligence Systems

We implement BI systems that scale across teams: governed metrics, consistent modeling, and self-serve analytics with guardrails.
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How this engagement works

We implement BI systems that scale across teams: governed metrics, consistent modeling, and self-serve analytics with guardrails.

We establish metric definitions, semantic layers where appropriate, and workflow conventions for analysts and stakeholders. Quality checks prevent silent breakages.

What changes

  • Shared source of truth
  • Faster analysis cycles
  • Reduced metric confusion

What we deliver

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

  • Semantic/metric layers
  • Analyst workflows
  • Access controls
  • Documentation
  • Data QA

Where it fits

  • Company-wide KPI reporting
  • Department dashboards
  • Cohort analysis
  • Operational analytics

The working rhythm

  1. 1

    Discovery

  2. 2

    Model + governance

  3. 3

    Dashboard build

  4. 4

    Training

  5. 5

    Ongoing iteration

Hand-off package

BI platform

  • Metric layer
  • Dashboards
  • Docs

Enablement

  • Training
  • Templates
  • Governance processes

Typical stack

Looker/MetabaseDBTWarehouseGit

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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