Data Architecture 01 / 09

A clear structure for where data lives, how it flows and who owns it.

  • Data model
  • Data flows
  • Ownership
Data architecture

Data Architecture

Data architecture

A clear structure for where data lives, how it flows and who owns it.

We turn fragmented operational information into structured data, dashboards and management intelligence that organisations can use to make decisions.

From scattered data to decisions

How we turn data into insight

Dashboards are only as good as the questions behind them. We start with the decisions you need to make and work back to the data.

  • 06Clear stages
  • 6Deliverables you keep
  • Your sign-off at every stage
  1. Step 01 1 week

    Discovery & KPI mapping

    Leaders and teams agree the questions, KPIs and targets that matter, with clear definitions.

    You receive: KPI dictionary

  2. Step 02 1 week

    Data source assessment

    We audit every source: systems, spreadsheets, devices, for quality, ownership and access.

    You receive: Data source inventory

  3. Step 03 2–4 weeks

    Data model & integration

    Pipelines bring data together into one clean, documented model that refreshes automatically.

    You receive: Integrated data model

  4. Step 04 2–3 weeks

    Dashboard & reporting design

    Clear, role-based dashboards and scheduled reports put the right numbers in front of the right people.

    You receive: Dashboards & reports

  5. Step 05 1 week

    Validation & training

    Numbers are reconciled with finance and operations, and users learn to explore data themselves.

    You receive: Validated reports & training

  6. Step 06 Ongoing

    Ongoing improvement

    New questions, sources and KPIs are added as the organisation learns from its data.

    You receive: Analytics roadmap

Talk to us about data architecture

Your technology should make work easier, not create more work. Tell us what you are trying to solve, and we will help you map the right solution.

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