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Analytics & Intelligence

Analytics That Drives Decisions, Not Just Dashboards

We connect a trusted semantic layer, advanced analytics and AI so that insights reach the people and systems that act on them.

Reference architecture

How the pieces connect

A reference architecture we adapt to each organisation's existing platforms, constraints and goals.

Capabilities

What we deliver in Analytics & Intelligence

Business Intelligence

Consistent KPIs and self-service reporting on a governed semantic layer.

Advanced Analytics

Statistical modelling, forecasting and experimentation.

Customer Intelligence

A deep, unified understanding of customer behaviour and value.

Marketing Analytics

Attribution, campaign performance and marketing mix insight.

Audience Segmentation

Behavioural and value-based segments ready for activation.

Decision Intelligence

Models and recommendations embedded into business decisions.

AI-powered Analytics

Natural-language questions answered from governed metrics.

Metrics & Semantic Layer

One definition of every metric, reused everywhere.

Use cases

Where it makes a difference

01

Executive performance cockpit

A single, trusted view of performance across business units.

02

Customer value & churn insight

Understand who your most valuable customers are and who is at risk.

03

Marketing performance analytics

Connect spend, channels and outcomes to guide budget decisions.

Engagement pattern

From problem to results

A representative engagement pattern for this solution area.

AdTech & MarTech

Marketing Intelligence

Problem
Campaign data lives inside each ad platform, making cross-channel performance hard to judge.
Solution
A unified marketing data model with attribution, anomaly alerts and AI-generated insight.
Architecture
Ad platformsMarketing data modelAttributionAI insightsDecisions
Results
Cross-channel visibilityEarlier issue detectionEvidence-based budget shifts

FAQ

Analytics & Intelligence: common questions

What is decision intelligence?

Decision intelligence connects data, analytics and AI models to specific business decisions, so insight becomes a recommendation or an automated action rather than only a dashboard. It focuses on which decisions matter, the data they need and how outcomes are measured.

What is a semantic layer?

A semantic layer defines business metrics and entities once — such as revenue, active customer or churn — and makes those definitions reusable across BI tools, notebooks and AI assistants, so every team reports the same numbers.

Can business users ask questions of data in plain language?

Yes. AI-powered analytics lets users ask questions in natural language and receive answers generated from governed metrics and data, with the underlying query visible for trust and review.

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