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Analytics & BI

Metric definitions, semantic layers and dashboards in Power BI, Looker or custom interfaces, designed around the decisions each team needs to make.

Typical results

monthly reporting time
3 days → 5 min
weekly active dashboard users
85%
shared definition per KPI
1

What we deliver

Concrete outputs you can review, test and keep, whether we stay on or hand over.

  • Metric design

    Agreed KPI definitions documented in a semantic layer.

  • Dashboards

    Role-based dashboards in Power BI, Looker, Tableau or embedded in your product.

  • Self-serve analytics

    Curated datasets and training so teams answer their own questions.

  • Embedded analytics

    Customer-facing reporting inside your SaaS product.

Technology we use

Recommended by default, adapted to your existing stack.

Power BILookerTableauMetabasedbt Semantic LayerD3.js

How the engagement runs

  1. 1

    Discovery (1–2 weeks)

    Workshops with stakeholders and users, a review of existing systems, and a shared definition of success.

  2. 2

    Architecture (1–2 weeks)

    System design, technology choices, security model and a delivery plan with a fixed estimate for the first release.

  3. 3

    Build (2-week sprints)

    Cross-functional squads ship working software every sprint, with a demo you can click through.

  4. 4

    Verify (Continuous)

    Automated tests, security scans and performance checks run on every change; UAT with your team before release.

Related work

Analytics & BI: common questions

The one your organisation will adopt. We often recommend Power BI for Microsoft-centric companies and Looker for modern data stacks.

Tell us what you're building

A senior engineer will reply within one business day with questions, a rough approach and next steps. No sales script.