Clear, owned outputs.
- A KPI catalogue
- Semantic models
- Dashboards for agreed audiences
- Self-service guidelines and training
- BI governance framework
Business intelligence turns data into reports and dashboards that guide decisions. The hard part is rarely the chart; it's agreeing what to measure, defining it consistently and making it easy to use. We work with your teams to define KPIs, build semantic models and design dashboards around real decisions.
The problems Business Intelligence solves.
KPI definitions, semantic models and Power BI, Tableau or Looker dashboards.
Dozens of dashboards exist, but people still ask for spreadsheets.
The same KPI is calculated differently in different reports.
Reports are slow to load and slow to change.
Self-service has produced chaos rather than clarity.
What Business Intelligence covers.
KPI definition
Agreeing measures, definitions and owners with stakeholders.
Semantic models
Reusable models that keep calculations consistent.
Dashboard design
Clear, accessible dashboards built around decisions.
Self-service enablement
Certified datasets and training for analysts.
Performance
Faster models, queries and refreshes.
BI governance
Workspace structure, permissions and content lifecycle.
From raw tables to a dashboard people use.
Dashboards fail when they're built before anyone agrees what the numbers mean. We start with definitions and end with adoption.
- 01
Agree the questions
List the decisions each audience makes and the measures they need for them — usually far fewer than the first wish list.
- 02
Define the metrics
Written definitions for revenue, active customer, churn and the rest, agreed by the business owners and stored with the model.
- 03
Build the semantic model
A Power BI, Looker or Tableau model on clean warehouse tables, with relationships, measures and row-level security in one place.
- 04
Design the reports
A clear hierarchy: headline figures, trend, then drill-down. Consistent layout and colour so every report reads the same way.
- 05
Roll out and refine
Training, usage monitoring and a monthly review to retire what nobody opens and improve what people rely on.
Why it's worth it.
Trusted metrics
One definition for each KPI.
Faster decisions
The right information is available when it's needed.
Less report sprawl
Governed content replaces duplicate dashboards.
When Business Intelligence is the right move.
- A leadership dashboard covering sales, operations and finance.
- Migrating reports to Power BI or another BI tool.
- Cleaning up an uncontrolled BI environment.
Technologies & platforms
- Power BI
- Tableau
- Looker
- Looker Studio
- Microsoft Fabric
- dbt Semantic Layer
- Excel
How Business Intelligence work runs.
- 01
Discover
Sources, consumers, data quality, volumes and the decisions the data must support.
- 02
Design
Architecture, data model, pipelines and governance agreed in writing.
- 03
Build
Pipelines, models and tests delivered in increments.
- 04
Validate
Reconciliation against source systems and sign-off by data owners.
- 05
Operate
Monitoring, data quality alerts, documentation and handover.
Business Intelligence questions.
Which BI tool should we use?
It depends on your ecosystem and users. Power BI suits Microsoft-centric organizations; Looker suits Google Cloud and governed modelling; Tableau is strong for visual exploration.
Can you migrate our reports from another tool?
Yes. We review which reports are still used, rebuild the valuable ones and retire the rest.
Do you train our team?
Yes. Training is part of self-service enablement, covering how to use certified datasets and build reports responsibly.
Talk to us about business intelligence.
Describe the environment and what needs to change. We'll reply with the questions we would answer first and a sensible first step.