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Data Privacy Framework

Protect personal data and meet privacy obligations (NDPA-aligned).

Methodology

Privacy model across data mapping, lawful basis, rights, consent, retention, cross-border and breach response, aligned to Nigeria's data-protection regime.

Components

Data inventory & mapping; Lawful basis & consent; Data-subject rights; Retention & minimisation; Cross-border transfer; Breach response.

Governance

DPO/privacy lead owns; data owners comply; governance council and board oversee. L1 Initial L2 Developing L3 Defined L4 Managed L5 Optimised Ad hoc Basic, siloed Standardised & Quantified & integrated Predictive & embedded governed

Maturity levels

L1
Ad hoc
L2
Basic, siloed
L3
Standardised &
L4
Quantified & integrated
L5
Predictive & embedded

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

Privacy programme build; NDPA readiness; Breach-response build.

Across the Data & AI ecosystem

Knowledge graph · 6 relations