05.1
Analytics strategy and KPI design
Define the metrics that matter, with owners and definitions.
- KPI framework
- Metric definitions
- Analytics roadmap
Analytics and Business Intelligence
Fewer, better reports, on numbers everyone agrees on.
Analytics creates value only when it changes a decision. We focus on the metrics and views that leadership and operations actually use, built on a governed semantic layer so every tool shows the same numbers.
From executive scorecards to self-service and AI-assisted analysis, we design for adoption as much as for accuracy.
What is included
Service offerings
05.2
Semantic layer
One governed metric layer shared across BI and AI tools.
- Semantic model
- Row-level security
- Metric catalogue
05.3
Dashboards and executive reporting
Scorecards and operational views designed around decisions.
- Executive scorecard
- Operational dashboards
- Distribution and alerts
05.4
Self-service enablement
Certified datasets, training and governance for business users.
- Certified datasets
- Training
- Usage governance
05.5
Advanced analytics
Forecasting, segmentation and statistical analysis for specific questions.
- Analytical models
- Findings and recommendations
- Reusable notebooks
05.6
BI platform rationalisation
Consolidate tools and reports to cut cost and confusion.
- Tool and report inventory
- Target BI landscape
- Migration plan
When to call us
Signs you need this
- Hundreds of reports, little trust in any of them.
- Leadership packs are assembled by hand every month.
- Several BI tools with overlapping licences.
- Business users wait weeks for simple analysis.
Approach
How we work
01Decide
Start from the decisions and the people who make them.
02Define
Agree metrics, definitions and owners in the semantic layer.
03Design
Build views and alerts for those decisions, then test with users.
04Adopt
Train, retire duplicates and track usage.
Standards and frameworks
Aligned with recognised practice
- Semantic layer and metrics-store patterns
Solutions
Where this service is applied
Decision intelligence
Decision Intelligence Platforms
Connect the data, the analysis and the action behind your most important decisions.
View solution Decision intelligenceAI-Powered Reporting
Reports that explain themselves, built on numbers everyone trusts.
View solution Decision intelligencePredictive Analytics
Forecasts and risk scores that are trusted enough to act on.
View solutionTechnology
Platforms we work with
Vendor-neutral: examples of platforms commonly used in this service. Names identify technologies only and do not imply a partnership.
- Power BI
- Tableau
- Looker
- Qlik
- ThoughtSpot
- Sigma
- Apache Superset
- Microsoft Fabric
Insights
Further reading
From BI to Decision Intelligence
Business intelligence made the report its unit of design. Decision intelligence makes the decision the unit of design. Until that switch happens, more dashboards and AI chat over data will deliver faster answers to questions nobody acts on.
Read →From Dashboards to Decisions
Most dashboards fail at the hand-off, not the chart. Run a decision inventory instead of a report catalogue, and make every metric earn its place by triggering a named owner’s action at an agreed threshold.
Read →Building Trusted Decision Intelligence
Model risk management was built to answer whether a model is sound. Regulators, courts and customers now ask a different question: why was this decision made, and who was accountable for it? Trusted decision intelligence is built around the decision record, not the model.
Read →Measuring the Value of Enterprise AI
Most AI value claims are not wrong so much as unproven. The fix is to design the measurement before the build: a baseline, a credible comparison group and metrics finance has already agreed to accept.
Read →Talk to us about Analytics and Business Intelligence
Engage this service on its own or as part of a solution. We will agree scope, outcomes and the right team with you.
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