Make privacy visible in the workflow
The Nigeria Data Protection Act 2023 establishes the country’s principal legal framework for personal-data processing and the Nigeria Data Protection Commission. For a product team, compliance begins well before a privacy notice. It begins when the team decides which personal data to collect, why it is necessary, who can use it and how long it should remain.
Create a simple data map for each important journey: enquiry, registration, payment, employment, support, marketing and analytics. Record the fields, source, purpose, lawful basis, recipients, storage, retention, access and deletion process. This turns privacy from a legal paragraph into an engineering and operating responsibility.
Design for rights and accountability
People need a practical route to understand processing and exercise applicable rights. A team must know how to locate a person’s records across systems, verify the requester, correct inaccurate data and apply retention or deletion rules without damaging legal or operational records that must be kept.
Controllers and processors also need clear responsibilities. Vendor reviews should cover purpose, security, location, subprocessors, incident notification, return or deletion and assistance with rights requests. High-risk processing needs stronger assessment and governance. Registration or reporting duties may apply depending on the organisation’s classification and current NDPC requirements.
- Collect the minimum personal data needed for a defined purpose.
- Use role-based access and review privileged access regularly.
- Set retention rules and make deletion technically achievable.
- Prepare an incident path that includes assessment, evidence and required notification.
Treat AI and analytics as new processing decisions
Reusing customer or employee data for an AI feature is not automatically covered because the data already exists. Teams should assess purpose, necessity, access, model or provider behaviour, international transfers, accuracy, human review and the consequences of error. Sensitive or high-impact use needs proportionate safeguards and assessment.
An AI assistant should not retrieve information a user could not access directly. Prompts, outputs, feedback and conversation history also require retention and access decisions. Privacy controls must follow the data through the entire AI workflow.
Use official guidance and qualified advice
Requirements can change through regulations and NDPC guidance. Organisations should monitor official resources and obtain qualified legal or data-protection advice for their specific processing. This article provides product and operating guidance; it is not a substitute for legal advice.
Primary references
These sources support the frameworks and changing facts used in this article. Rihuum’s analysis and recommendations are original.