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Numbers your whole team can trust and act on.

Data pipelines, warehouses, dashboards and KPI frameworks that turn scattered spreadsheets and systems into one reliable view of the business.

01 / What we build

Five capabilities, one source of truth.

Most engagements combine several of these. Every model, metric and dashboard is documented, so your team can maintain it after we leave.

01Decide what to measure

Data strategy & KPIs

A clear set of metrics, owners and definitions tied to the decisions your leadership actually makes.

Typical work
  • KPI frameworks
  • Metric definitions & ownership
  • Data maturity assessment
  • Reporting roadmap

You get an agreed KPI tree, a data dictionary and a phased roadmap.

02Pipelines & integration

Data engineering

Reliable pipelines that pull data from your systems, clean it and keep it up to date automatically.

Typical work
  • ETL / ELT pipelines
  • API & database connectors
  • Data quality checks
  • Scheduling & monitoring

You get automated, monitored pipelines with alerts when something breaks.

03One place for everything

Data warehousing

A modelled, governed warehouse that becomes the single source for reporting and analysis.

Typical work
  • Cloud warehouse setup
  • Dimensional modelling
  • Access & security controls
  • Historical data migration

You get a documented warehouse with tested models and role-based access.

04See it, act on it

Dashboards & BI

Dashboards designed around specific roles and decisions, not around whatever data happens to be available.

Typical work
  • Executive & board dashboards
  • Operational reporting
  • Self-service analytics
  • Embedded reporting

You get role-based dashboards your team uses daily, with training and documentation.

05Forecast and predict

Advanced analytics

Statistical models and forecasting that answer forward-looking questions with appropriate confidence.

Typical work
  • Demand & revenue forecasting
  • Customer segmentation
  • Churn & risk modelling
  • Experiment analysis

You get models in production with clear accuracy measures and plain-language explanations.

02 / Is this for you

Sound familiar?

These are the situations that most often bring teams to us. If two or more apply, a data and reporting project is usually worth a conversation.

  • 01

    Reports don’t agree

    Finance, sales and operations each have a different number for the same thing.

  • 02

    Reporting takes days

    Someone spends the start of every month exporting, pasting and reconciling spreadsheets.

  • 03

    Data is trapped in systems

    Your CRM, ERP and tools each hold part of the picture, and nothing joins them up.

  • 04

    Dashboards go unused

    You have dashboards, but people still ask for exports and build their own versions.

  • 05

    Leadership is flying blind

    Decisions rely on instinct because timely, trusted data simply isn’t available.

  • 06

    You’re preparing to scale

    Growth, investment or acquisition means the reporting you have won’t hold up.

03 / How we deliver

Useful dashboards early, depth over time.

We deliver the first reports within weeks, then extend the data model sprint by sprint. You use the numbers while the platform grows.

  1. 011–2 weeks

    Discovery

    Interviews and system review to map decisions, data sources and current reporting pain.

    OutputPrioritised use cases and a data map.

  2. 022–4 weeks

    Foundations

    Pipelines and a first warehouse model for the highest-value use case.

    OutputLive data flowing into a tested model.

  3. 032-week sprints

    First dashboards

    Role-based dashboards built with the people who will use them, then refined.

    OutputDashboards in daily use and feedback logged.

  4. 04Ongoing

    Expand & hand over

    More sources and use cases added, with documentation and training for your team.

    OutputA maintained platform your team can own.

04 / Ways to work

Pick the model, not a compromise.

Every proposal states which model we recommend and why. You can switch between them as the work matures.

01

Data assessment

A fixed-price review of your data sources, reporting and maturity, with a roadmap.

  • Source & quality audit
  • KPI workshop
  • Phased roadmap

Best for organisations unsure where to start or what to prioritise.

02Most common

Data platform build

A scoped project to deliver pipelines, warehouse and core dashboards.

  • Fixed scope & milestones
  • Engineers & analyst
  • Full documentation

Best for teams ready to replace spreadsheet reporting with a real platform.

03

Analytics partner

A monthly team that extends, maintains and analyses your data platform.

  • New sources & dashboards
  • Ad-hoc analysis
  • Monitoring & support

Best for businesses without an in-house data team.

05 / Technology

Modern data tools, sized to your needs.

We choose tools that fit your data volume, skills and budget. If you already have a platform, we build on it.

Warehouses
SnowflakeBigQueryAzure SynapsePostgreSQLRedshift
Pipelines
dbtFivetranAirbyteAzure Data FactoryPython
BI & visualisation
Power BITableauLookerMetabase
Analytics & ML
PythonSQLscikit-learnJupyter

06 / Questions

Before you commit.

The questions buyers ask most about data and analytics engagements.

Usually four to six weeks from kickoff for the first production dashboard, depending on how many sources it needs.

Often paired with

All services
01 Software Engineering & Development Custom software, platforms & APIs 02 Digital Growth & Marketing SEO, paid media & conversion 04 Governance, Risk & Compliance Policy, controls & oversight 05 Intelligent Automation Workflows, AI & integrations 06 Technology Consulting & Strategy Roadmaps, audits & advisory

Start a project

Ready for reports that finally agree?

Tell us where your data lives and what decisions it should support. We’ll come back with a practical plan and an honest estimate.

Let's Talk Get a Quote