DATA VALUE ASSESSMENT

From Thesis to Tool

Strategic Framework Operationalisation

How the Data Value Assessment tool operationalises the "Winning with AI" strategic framework through concrete, measurable features

View All Frameworks

Strategic Concept

Tool Feature

Four Engines

Predictor (ML), Planner (RL), Creator (GenAI), Agent (Agentic AI)

Engine Dropdown

Prevents GenAI tunnel vision

Predictor, Planner, Creator, Orchestrator options

AI Value Matrix

Four quadrants of value creation

Quadrant Dropdown

Classifies opportunities by value mode

Internal Optimisation, Customer Value, Employee Augmentation, New Biz Model

Defensibility Formula

Proprietary Data + Domain Expertise + Integration = Moat

Moat Metrics

Weighted 3:2 against Readiness

Ownership, Proprietary Level, History scores

Data as Foundation

Data is the base of the strategy pyramid

Step 1 Prerequisite

Assets before Opportunities

Linked Data Asset required for every opportunity

P&L Linkage

If it doesn't move the P&L in 12 months, kill it

Business Value Score

Doubled in Priority Index

Strategy Fit, ROI Impact, Customer Demand, Competitor Activity

Priority Ranking

Quantified capital allocation decisions

Priority Index Formula

Single comparable score

(Business Value × 2) + Feasibility + WDS

The Priority Index Formula

Priority Index = (Business Value × 2) + Feasibility + Weighted Dataset Score
Business Value × 2

P&L impact dominates the ranking

Execution Feasibility

Reality check on delivery risk

Weighted Dataset Score

Data quality + defensibility (Moat weighted 3:2)