Methodology
Decision model linking decisions to data, models, human judgement and feedback loops to improve decision quality.
Components
Decision mapping; Data & model inputs; Human-in-the-loop; Decision workflow; Feedback & learning; Decision governance.
Governance
Business decision owners; analytics enables; governance ensures accountability. L1 Initial L2 Developing L3 Defined L4 Managed L5 Optimised Ad hoc Basic, siloed Standardised & Quantified & integrated Predictive & embedded governed
Maturity levels
Implementation roadmap
Diagnose (assess maturity) → Design (tailor framework & governance) → Build (policies, standards, controls, pipelines) → Embed (training, culture, adoption) → Assure (test, benchmark, re-score).
Deliverables
Framework document, governance & RACI, policy/standard templates, maturity score & roadmap, board reporting pack.
Advisory opportunities
Decision-intelligence design; Decision-workflow build.
Across the Data & AI ecosystem
Knowledge graph · 4 relations
