Strategic Planning for AI-Enabled Cloud Business Intelligence in Commercial Banks: Comparative Evidence from South Africa and Nigeria (International Review of Management and Marketing)
Summary
- The research examines how strategic planning connects artificial intelligence and cloud-scale data infrastructure in commercial banking across South Africa and Nigeria.p.1
- Nigeria's digital policy landscape includes the Nigeria Data Protection Act 2023, a 2024 risk-based cybersecurity framework, and the 2025 National Artificial Intelligence Strategy.p.2
- South Africa's financial sector oversight includes Joint Communication 2 of 2025 establishing supervisory rules for cloud computing and data offshoring.p.5
- Absa Group reported that its cloud adoption rate tripled during 2025 as part of its technology estate transformation.p.8
- Absa Group successfully transitioned more than 35% of its overall technology estate to the cloud by the end of 2025.p.8
- Access Holdings detailed digital banking, fintech integration, and cloud adoption initiatives across its 2024 group reporting.p.8
Key insights
- Strategic planning operates as an orchestration capability linking AI use cases, data architecture, model governance, and resource allocation.p.1
- AI-enabled cloud business intelligence extends traditional BI from descriptive reporting to predictive analytics, intelligent recommendations, and GenAI knowledge work.p.2
- Digital alignment requires coherence among business objectives, cloud sourcing, risk governance, data architecture, and workforce capability.p.3
- South African banks exhibit formalized AI and cloud governance driven by sectoral supervisory frameworks.p.7
- Nigerian commercial banks demonstrate rapid market-led digital innovation supported by evolving national technology strategies.p.7
- Absa Group achieved a milestone by moving more than 35% of its technology estate to the cloud by year-end 2025.p.8
- United Bank for Africa integrates AI and robotic automation into its security operations while delivering customer support through its Leo chatbot.p.8
- Responsible AI governance acts as a value-preserving enabler that ensures analytics scaling complies with privacy and risk standards.p.10
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Topics and entities
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