01
Decision mapping
Identify the decisions that matter, who makes them, how often and with what information.
Decision Intelligence Platforms
Connect the data, the analysis and the action behind your most important decisions.
Most organisations have more dashboards than decisions improved by them. Decision intelligence starts from a recurring decision (pricing, capacity, credit, investment) and designs the data, models, thresholds and workflow around it.
The result is a decision layer: the right signals, a recommended action, an owner, and a record of what was decided and what happened next.
The problem
What usually gets in the way
- Leadership packs take weeks to assemble and are out of date when discussed.
- Different teams report different numbers for the same metric.
- Alerts fire, but nobody owns the response, so nothing changes.
- There is no feedback loop to learn whether past decisions worked.
What we deliver
Capabilities
02
Governed metric layer
One definition per metric, owned, documented and reused across tools.
03
Signals and thresholds
Leading indicators and triggers that tell owners when to act.
04
Recommendations
Rules, forecasts or optimisation that propose an action and show why.
05
Decision workflow
Route actions to owners, capture the decision and track the result.
06
Performance loop
Compare decisions with outcomes to improve thresholds and models over time.
Delivered by
Services involved
The service lines combined to deliver this solution.
- 02Data Strategy and GovernanceTreat data as a managed asset, with owners, standards and measurable quality.
- 03Enterprise and Data ArchitectureArchitecture decisions that keep options open and costs under control.
- 04Data EngineeringReliable, tested data pipelines that analytics and AI can depend on.
- 05Analytics and Business IntelligenceFewer, better reports, on numbers everyone agrees on.
How it fits together
Reference architecture
A vendor-neutral outline. Components are selected for your workloads, skills and regulatory context.
- ExperienceExecutive cockpitAlerts in workflow toolsMobile summaries
- Decision servicesRules and thresholdsForecasts and optimisationDecision log
- Semantic layerGoverned metricsBusiness definitionsAccess policies
- Data platformCurated data productsReal-time and batch feedsQuality checks
How we engage
Start small, prove value, scale
01Assess
3–4 weeksMap priority decisions, metrics and data gaps.
- Decision inventory
- Metric definitions
- Roadmap
02Pilot
8–12 weeksBuild the decision layer for one or two decisions end to end.
- Live decision cockpit
- Owner workflows
- Baseline vs. result
03Scale
OngoingAdd decisions on the same semantic layer and platform.
- Decision catalogue
- Operating cadence
- Measured impact
Outcomes
What we measure
- Decision cycle time
- Share of decisions taken on governed metrics
- Forecast accuracy
- Actions closed against alerts
- Value of improved decisions
Where it applies
Example use cases
Retail
Weekly pricing and promotion decisions with demand forecasts.
Energy and Utilities
Maintenance prioritisation from asset-risk signals.
Logistics
Capacity and routing decisions with exception alerts.
Banking
Credit-limit reviews driven by early-warning indicators.
Accelerators
Reusable assets we are building
Delivered today as services. These accelerators are being developed from that work to shorten future engagements.
Decision canvas
A structured template to define a decision, its signals, owner and success measure.
Metric layer starter
Reusable patterns for governed metrics across BI tools.
Technology
Platforms we design around
Vendor-neutral: examples of platforms commonly used for this solution. Names identify technologies only and do not imply a partnership.
- Power BI
- Tableau
- Looker
- Databricks
- Snowflake
- dbt
- Apache Kafka
- ThoughtSpot
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 →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 →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 →Real-Time and Event-Driven Decisions
Real time is a property of the decision, not the data. Pay for low latency only where the decision window demands it, and when you do, put most of the engineering into correctness at the point of action, because pipeline guarantees stop there.
Read →Talk to us about Decision Intelligence Platforms
Start with a short assessment: we will rank the opportunities, check readiness and agree how success will be measured.
Start a conversationNext solution
Data Quality and Governance Systems
Governance that runs in the systems, not in the slide deck.