Analytics Maturity Framework
Advance analytics capability from descriptive to predictive and prescriptive.
Methodology
Maturity model across data, talent, tooling, methods and operating model, moving from reporting to advanced analytics.
Components
Analytics operating model; Data foundation; Talent & skills; Tooling & platform; Method portfolio; Value realisation.
Governance
Analytics leadership owns; data office enables; business sponsors use cases. 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
Analytics maturity diagnostic; Capability build; Value-realisation programme.
Across the Data & AI ecosystem
Knowledge graph · 4 relations