SolutionAnalytics & Reporting

Platforms & Data

BI and reporting built on a signed metric layer

We implement in your chosen BI stack or custom UI only after metric owners agree definitions, grain, and reconciliation to systems of record.

Metric dictionary workshops bridging finance, ops, and tech.

Implementation in Power BI, Looker, Tableau, Metabase, or bespoke - your constraints lead.

Scheduled refreshes, alerts, and training for controlled self-serve.

On this page

Overview

Misaligned metrics undermine trust. We document the logic first, then build dashboards and schedules that withstand audit and executive review.

If upstream data or a warehouse is not ready, we state that explicitly and can scope the prerequisite work.

Core services

Components we combine and sequence based on your constraints and timeline.

Metrics layer

Definitions, dimensions, grain, and owners for each KPI.

Semantic model

Shared models or dbt-style transforms where appropriate.

Content build

Dashboards, curated reports, and export templates.

Adoption

Training, access patterns, and feedback loop for iterations.

Typical flow

A reference sequence; we adapt depth and gates to your organisation.

#StageWhat happens
01Align

Questions & decisions

What needs to be true for leadership to act each week or month.
02Validate

Data checks

Reconcile to systems of record; document known gaps.
03Publish

First release

Core dashboards with sign-off from metric owners.
04Extend

Self-serve guardrails

Certified datasets, templates, and backlog grooming.

Who we work with

Finance, revops, operations, and executives in growth-stage and mature organisations.

Infrastructure

AWS, Microsoft Azure, Google Cloud, hybrid topologies, and mainstream SaaS - selected against your security, residency, latency, and cost constraints.

Deliverables

Concrete outputs, documented and handed over with the build.

  • Metric dictionary and sign-off
  • Report and dashboard build-out
  • Scheduled refresh and basic alerts
  • Training for self-serve within guardrails

Engagement model

Partnership patterns we document in the SOW or master agreement.

  • -May require data cleanup or a warehouse first - we say so up front
  • -Iterative expansion after first release

Commercial model

Metric count, semantic layer complexity, BI tooling, and reconciliation work drive effort. We quote after discovery.

We start with a focused discovery (paid or unpaid, depending on complexity). You receive a written scope or SOW: milestones, acceptance tests, and a defined change process. NDAs and your procurement steps are routine.

Fixed scope

Documented requirements, milestones, and acceptance criteria. Delivery targets an agreed release or go-live.

When it applies

Agreed metric dictionary, limited dashboards, trusted upstream data in place.

Phased programme

Successive increments with checkpoints, integrations, and change control as scope evolves.

When it applies

Broad self-serve needs, many reconciliations, or warehouse prerequisites.

Ongoing partnership

Retained monthly capacity for maintenance, incremental features, releases, and operational support.

When it applies

Ongoing content, new cuts, and training as the business changes.

Fees are quoted per engagement after discovery. Third-party cloud, licensing, and usage charges are usually billed to your accounts unless we agree otherwise.

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