Every assessment produces an Index, visualised on the matching dashboard, gating advisory conversion. Statements are 1–5; average × 20 = 0–100. Bands: Foundational · Developing · Established · Strategic.
Framework · Data Governance Framework
A data governance policy and council exist; Data domains have accountable owners; Data stewards are appointed and active; Data standards are defined and applied; Data issues are logged and resolved.
Framework · Data Quality Framework
Quality dimensions and rules are defined; Critical data is profiled regularly; Quality is scored and reported; Remediation is tracked to closure; Quality is monitored over time.
Framework · Data Management Framework
Data is managed across its lifecycle; Architecture and modelling standards exist; Metadata is captured and used; Master data is governed; Data risk and privacy are managed.
Framework · Analytics Maturity Framework
A semantic/metrics layer provides one truth; Self-service analytics is enabled; Advanced analytics methods are used; Analytics talent is sufficient; Analytics value is tracked.
Framework · AI Readiness Framework
AI strategy is linked to business objectives; Data foundations support AI; AI talent and skills are available; Technology/platform supports AI; AI governance is in place.
Framework · AI Governance Framework
An AI inventory and risk tiering exist; AI use is approved through gates; Models are overseen and monitored; Human accountability is defined; AI policy and standards are enforced.
Framework · AI Risk Framework
An AI risk taxonomy is applied; Models are risk-assessed before use; Bias and fairness are tested; Security and robustness are controlled; AI risks are monitored and escalated.
Framework · Responsible AI Framework
RAI principles are adopted; Fairness and bias controls operate; Decisions are explainable; Accountability and oversight are clear; Privacy and safety are protected.
Framework · Decision Intelligence Framework
Key decisions are mapped; Decisions use data and models; Human judgement is integrated appropriately; Decision workflows are defined; Decisions are reviewed and improved.
Framework · Enterprise AI Framework
AI strategy is linked to value; Data and analytics foundations are strong; AI is governed and risk-managed; AI is scaled beyond pilots; AI value is realised and measured.
