Business Intelligence Consulting
The typical mature BI estate has hundreds of reports, a small fraction of which are opened regularly, and several conflicting definitions of the measures executives care about most.
We rationalise from evidence — usage telemetry, not opinion — build one governed semantic layer, and rebuild the reports that survive on top of it. The result is a smaller estate people trust.
Platforms we typically deliver this on
Scope of the service
BI assessment and rationalisation
Usage analysis across the estate to identify what to keep, merge, rebuild or retire, with evidence for each call.
Semantic modelling
One governed definition per measure, exposed consistently to every consumption tool.
Dashboard design and build
Reports designed around the decision being made, tested with the people who will use them.
Self-service enablement
Certified datasets, workspace structure, naming standards and training so analysts build safely without a central queue.
Performance optimisation
Model and query tuning, aggregation and incremental refresh for datasets that have outgrown their design.
Migration between BI platforms
Assessment, logic translation and phased user migration between Power BI, Tableau and legacy tools.
Where this is used
Representative engagements, described at the level our clients permit. Sector and shape are accurate; identifying detail is withheld.
Reducing a 400-report estate
Usage telemetry showed under a fifth of reports were opened in a quarter. We rebuilt the essential set on a governed model and retired the rest with owner sign-off.
Outcome — A maintainable estate with agreed definitions behind every measure.
Operational dashboards for capacity management
Managers were assembling capacity views by hand each morning. We built operational dashboards refreshed intraday from the source systems.
Outcome — A morning routine replaced by a view that is already current.
Self-service for institutional research
Every analytical question went through a small central team, creating a queue measured in weeks. Certified datasets and training moved routine analysis to the departments.
Outcome — Central team freed for the analysis only they can do.
Before you get in touch
Power BI or Tableau?
Usually whichever you already licence and staff. Power BI tends to win where Microsoft licensing is already in place; Tableau where visual exploration by analysts is the dominant pattern.
How do you decide what to retire?
Usage telemetry plus owner confirmation. Nothing is retired without a named owner agreeing, and we keep an archive.
Can BI and AI share a foundation?
They should. The same semantic layer that makes BI consistent is what stops an AI assistant giving a different revenue figure than the dashboard.
Often engaged alongside this
Data Visualisation
Visualisation designed around decisions and built to accessibility standards — including the public-facing reporting that has to work for everyone.
Read moreData & AnalyticsAdvanced Analytics & Machine Learning
Forecasting, segmentation, risk scoring and optimisation — built, validated and deployed where the decision is actually made.
Read moreData & AnalyticsData Governance & Quality
Catalogues that are current, quality rules that run automatically, and ownership that maps to how your organisation is genuinely structured.
Read moreStart with three weeks and a straight answer
The AI Readiness Assessment is fixed in scope, fixed in price and produces four deliverables you own — whether or not you continue with us.