20 flagship frameworks for governing data and adopting AI.
Data Governance Framework
Establish enterprise ownership, policy and accountability for data as a managed asset.
OpenData Quality Framework
Measure, improve and sustain the fitness of data for its intended use.
OpenData Management Framework
Provide the end-to-end disciplines to manage data across its lifecycle.
OpenMaster Data Framework
Create single, trusted versions of core business entities.
OpenBusiness Intelligence Framework
Turn governed data into trusted, self-service insight and reporting.
OpenAnalytics Maturity Framework
Advance analytics capability from descriptive to predictive and prescriptive.
OpenAI Governance Framework
Govern the responsible, accountable development and use of AI.
OpenAI Risk Framework
Identify, assess and treat the distinctive risks of AI systems.
OpenResponsible AI Framework
Ensure AI is fair, transparent, accountable and aligned with values and law.
OpenAI Strategy Framework
Align AI investment with strategy and measurable value.
OpenAI Operating Model Framework
Define how AI capability is organised, delivered and run at scale.
OpenMachine Learning Lifecycle Framework
Deliver and operate ML models reliably from problem to production.
OpenData Ethics Framework
Embed ethical principles into how data is collected and used.
OpenData Privacy Framework
Protect personal data and meet privacy obligations (NDPA-aligned).
OpenData Security Framework
Protect data confidentiality, integrity and availability.
OpenAI Transformation Framework
Scale AI from pilots to enterprise value.
OpenAI Readiness Framework
Assess and build the foundations needed before scaling AI.
OpenData Culture Framework
Build an organisation that values and uses data and AI well.
OpenDecision Intelligence Framework
Connect data, analytics and AI to better decisions.
OpenEnterprise AI Framework
Provide the master architecture integrating all data and AI capability.
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