A Predictive Analytics Framework for Customer Retention in African Retail Banking Sectors

References

[1] Abiola Olayinka Adams, Nwani, S., Abiola-Adams, O., Otokiti, B.O. & Ogeawuchi, J.C., 2020.Building Operational Readiness Assessment Models for Micro, Small, and Medium Enterprises Seeking Government-Backed Financing. Journal of Frontiers in Multidisciplinary Research, 1(1), pp.38-43. DOI: 10.54660/IJFMR.2020.1.1.38-43.

[2] Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2019. Laying the Groundwork for Predictive Workforce Planning Through Strategic Data Analytics and Talent Modeling. IRE Journals, 3(3), pp.159–161. ISSN: 2456-8880.

[3] Adenuga, T., Ayobami, A.T. & Okolo, F.C., 2020. AI-Driven Workforce Forecasting for Peak Planning and Disruption Resilience in Global Logistics and Supply Networks. International Journal of Multidisciplinary Research and Growth Evaluation, 2(2), pp.71–87. Available at: https://doi.org/10.54660/.IJMRGE.2020.1.2.71-87.

[4] Adewoyin, M.A., Ogunnowo, E.O., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.A Conceptual Framework for Dynamic Mechanical Analysis in High-Performance Material Selection. IRE Journals, 4(5), pp.137–144.

[5] Adewoyin, M.A., Ogunnowo, E.O., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.Advances in Thermofluid Simulation for Heat Transfer Optimization in Compact Mechanical Devices. IRE Journals, 4(6), pp.116–124.

[6] Adewuyi, A., Oladuji, T.J., Ajuwon, A. & Nwangele, C.R. (2020) ‘A Conceptual Framework for Financial Inclusion in Emerging Economies: Leveraging AI to Expand Access to Credit’, IRE Journals, 4(1), pp. 222–236. ISSN: 2456-8880.

[7] Ajuwon, A., Onifade, O., Oladuji, T.J. & Akintobi, A.O. (2020) ‘Blockchain-Based Models for Credit and Loan System Automation in Financial Institutions’, IRE Journals, 3(10), pp. 364–381. ISSN: 2456-8880.

[8] Akinbola, O. A., Otokiti, B. O., Akinbola, O. S., & Sanni, S. A. (2020). Nexus of Born Global Entrepreneurship Firms and Economic Development in Nigeria. Ekonomicko-manazerske spektrum, 14(1), 52-64.

[9] Akpe, O. E. E., Mgbame, A. C., Ogbuefi, E., Abayomi, A. A., & Adeyelu, O. O. (2020). Bridging the business intelligence gap in small enterprises: A conceptual framework for scalable adoption. IRE Journals, 4(2), 159–161.

[10] Akpe, O.E., Mgbame, A.C., Ogbuefi, E., Abayomi, A.A. & Adeyelu, O.O., 2020.Barriers and Enablers of BI Tool Implementation in Underserved SME Communities. IRE Journals, 3(7), pp.211-220. DOI: .

[11] Akpe, O.E., Mgbame, A.C., Ogbuefi, E., Abayomi, A.A. & Adeyelu, O.O., 2020. Bridging the Business Intelligence Gap in Small Enterprises: A Conceptual Framework for Scalable Adoption. IRE Journals, 4(2), pp.159-168. DOI:

[12] Akpe, O.E., Ogeawuchi, J.C., Abayomi, A.A., Agboola, O.A. & Ogbuefis, E. (2020) 'A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations', IRE Journals, 4(4), pp. 207-214.

[13] Ashiedu, B.I., Ogbuefi, E., Nwabekee, U.S., Ogeawuchi, J.C. & Abayomis, A.A. (2020) 'Developing Financial Due Diligence Frameworks for Mergers and Acquisitions in Emerging Telecom Markets', IRE Journals, 4(1), pp. 1-8.

[14] Fagbore, O.O., Ogeawuchi, J.C., Ilori, O., Isibor, N.J., Odetunde, A. & Adekunle, B.I. (2020) 'Developing a Conceptual Framework for Financial Data Validation in Private Equity Fund Operations', IRE Journals, 4(5), pp. 1-136.

[15] Mgbame, A. C., Akpe, O. E. E., Abayomi, A. A., Ogbuefi, E., & Adeyelu, O. O. (2020). Barriers and enablers of BI tool implementation in underserved SME communities. IRE Journals, 3(7), 211–213.

[16] Nwani, S., Abiola-Adams, O., Otokiti, B.O. & Ogeawuchi, J.C., 2020.Designing Inclusive and Scalable Credit Delivery Systems Using AI-Powered Lending Models for Underserved Markets. IRE Journals, 4(1), pp.212-214. DOI: 10.34293 /irejournals.v 4i1.1708888.

[17] ODOFIN, O. T., ABAYOMI, A. A., & CHUKWUEMEKE, A. (2020). Developing Microservices Architecture Models for Modularization and Scalability in Enterprise Systems.

[18] Odofin, O.T., Agboola, O.A., Ogbuefi, E., Ogeawuchi, J.C., Adanigbo, O.S. & Gbenle, T.P. (2020) 'Conceptual Framework for Unified Payment Integration in Multi-Bank Financial Ecosystems', IRE Journals, 3(12), pp. 1-13.

[19] Ogunnowo, E.O., Adewoyin, M.A., Fiemotongha, J.E., Igunma, T.O. & Adeleke, A.K., 2020.Systematic Review of Non-Destructive Testing Methods for Predictive Failure Analysis in Mechanical Systems. IRE Journals, 4(4), pp.207–215.

[20] Olufemi-Phillips, A. Q., Ofodile, O. C., Toromade, A. S., Eyo-Udo, N. L., & Adewale, T. T. (2020). Optimizing FMCG supply chain management with IoT and cloud computing integration. International Journal of Managemeijignt & Entrepreneurship Research, 6(11), 1-15.

[21] Omisola, J. O., Etukudoh, E. A., Okenwa, O. K., & Tokunbo, G. I. (2020). Innovating Project Delivery and Piping Design for Sustainability in the Oil and Gas Industry: A Conceptual Framework. perception, 24, 28-35.

[22] Omisola, J. O., Etukudoh, E. A., Okenwa, O. K., & Tokunbo, G. I. (2020). Geosteering Real-Time Geosteering Optimization Using Deep Learning Algorithms Integration of Deep Reinforcement Learning in Real-time Well Trajectory Adjustment to Maximize. Unknown Journal.

[23] Osho, G. O., Omisola, J. O., & Shiyanbola, J. O. (2020). A Conceptual Framework for AI-Driven Predictive Optimization in Industrial Engineering: Leveraging Machine Learning for Smart Manufacturing Decisions. Unknown Journal.

[24] Osho, G. O., Omisola, J. O., & Shiyanbola, J. O. (2020). An Integrated AI-Power BI Model for Real-Time Supply Chain Visibility and Forecasting: A Data-Intelligence Approach to Operational Excellence. Unknown Journal.

[25] Oyedokun, O.O., 2019.Green Human Resource Management Practices (GHRM) and Its Effect on Sustainable Competitive Edge in the Nigerian Manufacturing Industry: A Study of Dangote Nigeria Plc. MBA Dissertation, Dublin Business School.

[26] Sharma, A., Adekunle, B.I., Ogeawuchi, J.C., Abayomi, A.A. & Onifade, O. (2019) 'IoT-enabled Predictive Maintenance for Mechanical Systems: Innovations in Real-time Monitoring and Operational Excellence', IRE Journals, 2(12), pp. 1-10.

@article{1709610,
      author = {Okeoghene Elebe, Chikaome Chimara Imediegwu},
      title = {A Predictive Analytics Framework for Customer Retention in African Retail Banking Sectors},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {7},
      pages = {299-312},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709610.pdf},
      abstract = {Customer retention remains a critical success factor for retail banks in Africa, where rapid digitization, increasing competition, and shifting customer expectations pose new challenges to traditional loyalty strategies. This review explores the integration of predictive analytics as a transformative approach to enhancing customer retention in African retail banking. The paper examines current trends, data sources, and modeling techniques used in predictive analytics, such as machine learning algorithms, behavioral segmentation, and churn prediction models. Drawing insights from both global and regional literature, it evaluates how African banks can leverage transactional data, customer feedback, and demographic indicators to forecast attrition and proactively intervene. The review also highlights the infrastructural, regulatory, and ethical considerations unique to African markets that influence the adoption of predictive systems. Ultimately, the paper proposes a comprehensive predictive analytics framework tailored to the African context?aimed at improving customer satisfaction, reducing churn, and driving sustained financial inclusion. This framework aligns technological innovation with strategic customer relationship management, positioning African banks for improved profitability and competitive advantage.},
      keywords = {Predictive Analytics, Customer Retention, Retail Banking, Churn Prediction, African Financial Sector, Machine Learning in Banking.},
      month = {January},
  }