Business Analytics-Driven Risk Assessment Model for Enhancing Financial Decision-Making in Corporations

References

[1] Achumie, G. O., Bakare, O. A., & Okeke, N. I. (2024). Post-project financial auditing as a continuous improvement tool for SMEs.

[2] Adepoju, A. H., Eweje, A., Collins, A., & Austin-Gabriel, B. (2024a). Automated offer creation pipelines: An innovative approach to improving publishing timelines in digital media platforms. International Journal of Multidisciplinary Research and Growth Evaluation, 5(6), 1475-1489.

[3] Adepoju, A. H., Eweje, A., Collins, A., & Austin-Gabriel, B. (2024b). Framework for migrating legacy systems to next-generation data architectures while ensuring seamless integration and scalability. International Journal of Multidisciplinary Research and Growth Evaluation, 5(6), 1462-1474.

[4] Agho, M. O., Eyo-Udo, N. L., Onukwulu, E. C., Sule, A. K., & Azubuike, C. (2024). Digital Twin Technology for Real-Time Monitoring of Energy Supply Chains. International Journal of Research and Innovation in Applied Science, 9(12), 564-592.

[5] Alabi, O. A., Ajayi, F. A., Udeh, C. A., & Efunniyi, C. P. (2024). The impact of workforce analytics on HR strategies for customer service excellence. World Journal of Advanced Research and Reviews, 23(3).

[6] Alex-Omiogbemi, A. A., Sule, A. K., Michael, B., & Omowole, S. J. O. (2024). Advances in AI and FinTech Applications for Transforming Risk Management Frameworks in Banking.

[7] Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024a). Advances in cybersecurity strategies for financial institutions: A focus on combating E-Channel fraud in the Digital era.

[8] Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024b). Conceptual framework for advancing regulatory compliance and risk management in emerging markets through digital innovation.

[9] Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024c). Conceptual framework for optimizing client relationship management to enhance financial inclusion in developing economies.

[10] Alex-Omiogbemi, A. A., Sule, A. K., Omowole, B. M., & Owoade, S. J. (2024d). Conceptual framework for women in compliance: Bridging gender gaps and driving innovation in financial risk management.

[11] Alozie, C. E., Akerele, J. I., Kamau, E., & Myllynen, T. (2024a). Capacity Planning in Cloud Computing: A Site Reliability Engineering Approach to Optimizing Resource Allocation.

[12] Alozie, C. E., Akerele, J. I., Kamau, E., & Myllynen, T. (2024b). Disaster Recovery in Cloud Computing: Site Reliability Engineering Strategies for Resilience and Business Continuity.

[13] Alozie, C. E., Collins, A., Abieba, O. A., Akerele, J. I., & Ajayi, O. O. (2024). International Journal of Management and Organizational Research.

[14] Apeh, C. E., Odionu, C. S., Bristol-Alagbariya, B., Okon, R., & Austin-Gabriel, B. (2024a). Advancing workforce analytics and big data for decision-making: Insights from HR and pharmaceutical supply chain management. Int J Multidiscip Res Growth Eval, 5(1), 1217-1222.

[15] Apeh, C. E., Odionu, C. S., Bristol-Alagbariya, B., Okon, R., & Austin-Gabriel, B. (2024b). Ethical considerations in IT Systems Design: A review of principles and best practices.

[16] Apeh, C. E., Odionu, C. S., Bristol-Alagbariya, B., Okon, R., & Austin-Gabriel, B. (2024c). Reviewing healthcare supply chain management: Strategies for enhancing efficiency and resilience. Int J Res Sci Innov, 5(1), 1209-1216.

[17] Chigboh, V. M., Zouo, S. J. C., & Olamijuwon, J. (2024). Predictive analytics in emergency healthcare systems: A conceptual framework for reducing response times and improving patient care. World, 7(02), 119-127.

[18] CHINTOH, G. A., SEGUN-FALADE, O. D., ODIONU, C. S., & EKEH, A. H. (2024a). Developing a Compliance Model for AI-Driven Financial Services: Navigating CCPA and GLBA Regulations.

[19] Chintoh, G. A., Segun-Falade, O. D., Odionu, C. S., & Ekeh, A. H. (2024b). International Journal of Social Science Exceptional Research.

[20] Collins, A., Hamza, O., Eweje, A., & Babatunde, G. O. (2024a). Challenges and Solutions in Data Governance and Privacy: A Conceptual Model for Telecom and Business Intelligence Systems.

[21] Collins, A., Hamza, O., Eweje, A., & Babatunde, G. O. (2024b). Integrating 5G core networks with business intelligence platforms: Advancing data-driven decision-making. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1082-1099.

[22] Daramola, O. M., Apeh, C. E., Basiru, J. O., Onukwulu, E. C., & Paul, P. O. (2024). Environmental Law and Corporate Social Responsibility: Assessing the Impact of Legal Frameworks on Circular Economy Practices.

[23] Durojaiye, A. T., Ewim, C. P.-M., & Igwe, A. N. (2024). Designing a machine learning-based lending model to enhance access to capital for small and medium enterprises. Journal name missing.

[24] Edoh, N. L., Chigboh, V. M., Zouo, S., & Olamijuwon, J. (2024). Improving healthcare decision-making with predictive analytics: A conceptual approach to patient risk assessment and care optimization.

[25] ELUMILADE, O. O., OGUNDEJI, I. A., OZOEMENAM, G., Achumie, H., & OMOWOLE, B. M. (2024). Advancing Audit Efficiency Through Statistical Sampling and Compliance Best Practices in Financial Reporting. IRE Journals, 7(9), 434-437.

[26] Eyieyien, O. G., Idemudia, C., Paul, P. O., & Ijomah, T. I. (2024a). Effective stakeholder and risk management strategies for large-scale international project success. Int. J. Front. Sci. Technol. Res, 7(1), 013-024.

[27] Eyieyien, O. G., Idemudia, C., Paul, P. O., & Ijomah, T. I. (2024b). The Impact of ICT Projects on Community Development and Promoting Social Inclusion.

[28] Eyo-Udo, N. L., Agho, M. O., Onukwulu, E. C., Sule, A. K., Azubuike, C., Nigeria, L., & Nigeria, P. (2024). Advances in Blockchain Solutions for Secure and Efficient Cross-Border Payment Systems. International Journal of Research and Innovation in Applied Science, 9(12), 536-563.

[29] Hamza, O., Collins, A., Eweje, A., & Babatunde, G. O. (2024). Advancing data migration and virtualization techniques: ETL-driven strategies for Oracle BI and Salesforce integration in agile environments. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1100-1118.

[30] Hassan, Y. G., Collins, A., Babatunde, G. O., Alabi, A. A., & Mustapha, S. D. (2024). Secure smart home IoT ecosystem for public safety and privacy protection. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1151-1157.

[31] Igwe, A. N., Eyo-Udo, N. L., & Stephen, A. (2024a). The Impact of Fourth Industrial Revolution (4IR) Technologies on Food Pricing and Inflation.

[32] Igwe, A. N., Eyo-Udo, N. L., & Stephen, A. (2024b). Synergizing AI and Blockchain to Enhance Cost-Effectiveness and Sustainability in Food and FMCG Supply Chains.

[33] Ikwuanusi, N., Onunka, N., Owoade, N., & Uzoka, N. (2024). Revolutionizing library systems with advanced automation: A blueprint for efficiency in academic resource management. International Journal of Scholarly Research in Multidisciplinary Studies, 5(2), 019-040.

[34] Johnson, O. B., Olamijuwon, J., Weldegeorgise, Y. W., & Soji, O. (2024). Designing a comprehensive cloud migration framework for high-revenue financial services: A case study on efficiency and cost management. Open Access Res J Sci Technol, 12(2), 58-69.

[35] Kamau, E., Myllynen, T., Mustapha, S. D., Babatunde, G. O., & Alabi, A. A. (2024). A Conceptual Model for Real-Time Data Synchronization in Multi-Cloud Environments.

[36] Kokogho, E., Odio, P. E., Ogunsola, O. Y., & Nwaozomudoh, M. O. (2024a). AI-Powered Economic Forecasting: Challenges and Opportunities in a Data-Driven World.

[37] Kokogho, E., Odio, P. E., Ogunsola, O. Y., & Nwaozomudoh, M. O. (2024b). Conceptual Analysis of Strategic Historical Perspectives: Informing Better Decision Making and Planning for SMEs.

[38] Kokogho, E., Odio, P. E., Ogunsola, O. Y., & Nwaozomudoh, M. O. (2024c). Transforming Public Sector Accountability: The Critical Role of Integrated Financial and Inventory Management Systems in Ensuring Transparency and Efficiency.

[39] Mbunge, E., Fashoto, S. G., Akinnuwesi, B. A., Metfula, A. S., Manyatsi, J. S., Sanni, S. A., . . . Mnisi, P. M. (2024). Machine Learning Approaches for Predicting Individual’s Financial Inclusion Status with Imbalanced Dataset. Paper presented at the Computer Science On-line Conference.

[40] Myllynen, T., Kamau, E., Mustapha, S. D., Babatunde, G. O., & Collins, A. (2024). Review of advances in AI-powered monitoring and diagnostics for CI/CD pipelines. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1119-1130.

[41] Odionu, C. S., Adepoju, P. A., Ikwuanusi, U. F., Azubuike, C., & Sule, A. K. (2024). The role of enterprise architecture in enhancing digital integration and security in higher education. International Journal of Engineering Research and Development, 20(12), 392-398.

[42] Odionu, C. S., Bristol-Alagbariya, B., & Okon, R. (2024). Big data analytics for customer relationship management: Enhancing engagement and retention strategies. International Journal of Scholarly Research in Science and Technology, 5(2), 050-067.

[43] Okeke, N. I., Alabi, O. A., Igwe, A. N., Ofodile, O. C., & Ewim, C. P.-M. (2024a). AI-driven personalization framework for SMES: Revolutionizing customer engagement and retention.

[44] Okeke, N. I., Alabi, O. A., Igwe, A. N., Ofodile, O. C., & Ewim, C. P.-M. (2024b). AI in customer feedback integration: A data-driven framework for enhancing business strategy. World J. Advanced Res. Reviews, 24(1), 3207-3220.

[45] Okon, R., Odionu, C. S., & Bristol-Alagbariya, B. (2024a). Integrating data-driven analytics into human resource management to improve decision-making and organizational effectiveness. IRE Journals, 8(6), 574.

[46] Okon, R., Odionu, C. S., & Bristol-Alagbariya, B. (2024b). Integrating technological tools in HR mental health initiatives. IRE Journals, 8(6), 554.

[47] Okonkwo, C. A., Toromade, A. O., & Ajayi, O. O. (2024). STEM education for sustainability: Teaching high school students about renewable energy and green chemistry. International Journal of Applied Research in Social Sciences, 6.

[48] Olamijuwon, J., & Zouo, S. J. C. (2024). Machine learning in budget forecasting for corporate finance: A conceptual model for improving financial planning.

[49] Olufemi-Phillips, A. Q., Igwe, A. N., Ofodile, O. C., & Louis, N. (2024). Analyzing economic inflation's impact on food security and accessibility through econometric modeling. International Journal of Green Economics.

[50] Olufemi-Phillips, A. Q., Ofodile, O. C., Toromade, A. S., Igwe, A. N., & Adewale, T. T. (2024). Strategies for adapting food supply chains to climate change using simulation models. Strategies, 20(11), 1021-1040.

[51] Oluokun, O. A., Akinsooto, O., Ogundipe, O. B., & Ikemba, S. (2024a). Energy efficiency in mining operations: Policy and technological innovations.

[52] Oluokun, O. A., Akinsooto, O., Ogundipe, O. B., & Ikemba, S. (2024b). Enhancing energy efficiency in retail through policy-driven energy audits and conservation measures.

[53] Oluokun, O. A., Akinsooto, O., Ogundipe, O. B., & Ikemba, S. (2024c). Integrating renewable energy solutions in urban infrastructure: A policy framework for sustainable development.

[54] Oluokun, O. A., Akinsooto, O., Ogundipe, O. B., & Ikemba, S. (2024d). Leveraging Cloud Computing and Big Data analytics for policy-driven energy optimization in smart cities.

[55] Oluokun, O. A., Akinsooto, O., Ogundipe, O. B., & Ikemba, S. (2024e). Optimizing Demand Side Management (DSM) in industrial sectors: A policy-driven approach.

[56] Onukwulu, E. C., Agho, M. O., Eyo-Udo, N. L., Sule, A. K., & Azubuike, C. (2024a). Advances in automation and AI for enhancing supply chain productivity in oil and gas. International Journal of Research and Innovation in Applied Science, 9(12), 654-687.

[57] Onukwulu, E. C., Agho, M. O., Eyo-Udo, N. L., Sule, A. K., & Azubuike, C. (2024b). Advances in blockchain integration for transparent renewable energy supply chains. International Journal of Research and Innovation in Applied Science, 9(12), 688-714.

[58] Onukwulu, E. C., Fiemotongha, J. E., Igwe, A. N., & Ewin, C. P.-M. (2024). Strategic contract negotiation in the oil and gas sector: approaches to securing high-value deals and long-term partnerships. Journal of Advance Multidisciplinary Research, 3(2), 44-61.

[59] Owoade, S. J., Uzoka, A., Akerele, J. I., & Ojukwu, P. U. (2024). Cloud-based compliance and data security solutions in financial applications using CI/CD pipelines. World Journal of Engineering and Technology Research, 8(2), 152-169.

[60] Oyedokun, O., Ewim, S. E., & Oyeyemi, O. P. (2024). A comprehensive review of machine learning applications in aml transaction monitoring. Int J Eng Res Dev, 20(11), 173-143.

[61] Paul, P. O., Ogugua, J. O., & Eyo-Udo, N. L. (2024a). Procurement in healthcare: Ensuring efficiency and compliance in medical supplies and equipment management.

[62] Paul, P. O., Ogugua, J. O., & Eyo-Udo, N. L. (2024b). Sustainable procurement practices: Balancing compliance, ethics, and cost-effectiveness. International Journal of Scientific Research Updates, 8(1), 027-036.

[63] Segun-Falade, O. D., Osundare, O. S., Kedi, W. E., Okeleke, P. A., Ijomah, T. I., & Abdul-Azeez, O. Y. (2024). Utilizing machine learning algorithms to enhance predictive analytics in customer behavior studies.

[64] Shittu, R. A., Ehidiamen, A. J., Ojo, O. O., Zouo, S., Olamijuwon, J., Omowole, B., & Olufemi-Phillips, A. (2024). The role of business intelligence tools in improving healthcare patient outcomes and operations. World Journal of Advanced Research and Reviews, 24(2), 1039-1060.

[65] Sule, A. K., Eyo-Udo, N. L., Onukwulu, E. C., Agho, M. O., & Azubuike, C. (2024). Implementing blockchain for secure and efficient cross-border payment systems. International Journal of Research and Innovation in Applied Science, 9(12), 508-535.

@article{1705449,
      author = {Emmanuel Damilare Balogun, Kolade Olusola Ogunsola, Adebanji Samuel Ogunmokun},
      title = {Business Analytics-Driven Risk Assessment Model for Enhancing Financial Decision-Making in Corporations},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {7},
      pages = {624-640},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705449.pdf},
      abstract = {This paper presents a comprehensive analysis of a Business Analytics-Driven Risk Assessment Model to enhance corporate financial decision-making and risk management. The model integrates advanced business analytics, predictive analytics, machine learning, and scenario analysis to proactively identify, evaluate, and mitigate financial risks. Through a detailed literature review, the paper explores the theoretical foundations of business analytics and risk assessment, highlighting the limitations of traditional models and the evolution of modern approaches in corporate risk management. The proposed model?s application across various industries, including banking, insurance, retail, and manufacturing, demonstrates its versatility and effectiveness in real-world settings. Case studies illustrate how corporations have successfully implemented the model to optimize decision-making, reduce financial losses, and improve overall risk management strategies. Furthermore, the paper quantitatively analyzes the model?s impact on financial outcomes, showcasing its ability to improve forecasting accuracy and minimize risk exposure. While the research identifies key benefits, it also addresses challenges in data integration, organizational resistance, and technical expertise. Finally, the paper offers recommendations for corporations seeking to adopt this model and outlines potential future directions for enhancing its capabilities through emerging technologies such as blockchain and quantum computing.},
      keywords = {Business Analytics, Risk Assessment, Predictive Analytics, Financial Decision, Making, Machine Learning, Corporate Risk Management},
      month = {January},
  }