Integrating business intelligence and predictive analytics in banking: A framework for optimizing financial decision-making DOI Creative Commons

Ibrahim Adedeji Adeniran,

Christianah Pelumi Efunniyi,

Olajide Soji Osundare

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1517 - 1530

Published: Aug. 31, 2024

Integrating Business Intelligence (BI) and predictive analytics in banking has become a pivotal strategy for optimizing financial decision-making. This review paper explores this integration's theoretical foundations, current trends, challenges while proposing comprehensive framework to enhance decision-making processes. The proposed emphasizes the importance of unified data architecture, advanced integration techniques, synergistic use BI tools models. By examining implications institutions, highlights how can transform strategic operational decisions, improve risk management, drive personalized customer engagement. Additionally, future trends such as adoption AI, real-time analytics, enhanced governance are discussed, along with recommendations banks aiming implement successfully. findings underscore transformative potential combining foster innovation, efficiency, competitive advantage sector. Keywords: (BI), Predictive Analytics, Banking Sector, Financial Decision-Making, Data Integration.

Language: Английский

Confluence of AI and Global Security Paradigms DOI
Arjun J. Nair,

Satish Rao A. B.

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 161 - 182

Published: Jan. 14, 2025

The chapter delves into the critical nexus of artificial intelligence (AI) and global security systems in context financial anomalies mitigation. It examines escalating prevalence sophistication anomalies, underscoring imperative for innovative robust countermeasures. introduces dimension exordium framework as a novel paradigm integrating advanced technologies with strategic methodologies to enhance fraud prevention detection. core explores operationalisation AI, encompassing machine learning (ML), neural networks natural language processing (NLP), domain mitigation, critically examining benefits limitations AI-driven systems, emphasizing significance data quality, algorithmic bias, system transparency. Moreover, practical implementation framework, importance continuous monitoring, evaluation adaptation.

Language: Английский

Citations

0
Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations DOI
Arjun J. Nair,

Abishek B. Rao

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 239 - 258

Published: Feb. 5, 2025

This chapter undertakes a thorough and sophisticated exploration of the intricate perpetually evolving landscape big data utilisation in realm fraud mitigation within financial services industry. It rigorously evaluates transformative capacities analytics addressing increasingly elaborate nature fraudulent activities, with particular focus on imperative issues privacy, security, regulatory conformity scalability. Through an exhaustive detailed analysis, illuminates critical significance advanced technological frameworks, including artificial intelligence, machine learning, blockchain Internet Things, enhancing efficacy detection prevention. The discourse further delves into essential roles played by behavioural analytics, anomaly real-time processing systems identification curtailment actions.

Language: Английский

Citations

0
Big Data Driven Analysis of Maritime Regulation Implementation and Compliance Across Ship Types and Phases MARPOL Annex VI DOI
Ariyono Setiawan,

Abdul Razak Abdul Hadi,

Moejiono Moejiono

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Enhancing financial security in Fintech: Advanced network protocols for modern inter-bank infrastructure DOI Creative Commons

Olajide Soji Osundare,

Adebimpe Bolatito Ige

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1403 - 1415

Published: Aug. 11, 2024

As financial technology (fintech) continues to evolve, ensuring robust security within inter-bank infrastructure has become increasingly critical. This review paper explores advanced network protocols for safeguarding transactions and data against modern cyber threats. The study examines key such as Multiprotocol Label Switching (MPLS), Segment Routing, Internet Protocol Security (IPSEC), highlighting their roles in enhancing the performance of networks. It addresses current challenges, including sophisticated cyber-attacks, insider threats, vulnerabilities associated with cloud services third-party vendors. Furthermore, outlines steps integrating these into existing systems, provides best practices optimal security, discusses emerging trends future directions security. Recommendations fintech companies institutions are provided help them navigate evolving landscape effectively. concludes potential areas research, emphasizing need ongoing innovation address Keywords: Financial Security, Advanced Network Protocols, MPLS, IPSEC.

Language: Английский

Citations

3
Advancing financial inclusion and technological innovation through cutting-edge software engineering DOI Creative Commons

Theodore Narku Odonkor,

Nnaemeka Valentine Eziamaka,

Adetola Adewale Akinsulire

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1320 - 1348

Published: Aug. 3, 2024

Advancing financial inclusion and fostering technological innovation through cutting-edge software engineering are paramount in addressing the global disparities access to services. This paper explores critical role of revolutionizing sector, particularly enhancing for underserved populations. Financial inclusion, which ensures that individuals businesses have useful affordable products services, is a cornerstone economic development. Despite its importance, significant portion population remains unbanked or underbanked, primarily due limited traditional banking infrastructure. Technological innovation, driven by advancements engineering, presents transformative solution this challenge. Cutting-edge practices at forefront developing robust, scalable, secure solutions. Mobile applications, instance, leverage sophisticated architectures provide seamless services users remote areas. These applications facilitate various transactions, including money transfers, bill payments, savings, thereby integrating into formal system. Additionally, blockchain technology, underpinned advanced offers decentralized platform transactions. Blockchain's inherent transparency security features make it an ideal tool trust reducing fraud By enabling low-cost cross-border technology significantly contributes making accessible those previously excluded. Artificial Intelligence (AI) machine learning, powered algorithms, further enhance providing personalized AI-driven chatbots virtual assistants offer 24/7 customer support, ensuring constant guidance. Moreover, AI algorithms analyze user data tailored products, such as customized loan investment advice, meeting unique needs diverse users. promising potential, integration these technologies faces challenges, privacy navigating regulatory landscapes. However, strategic collaboration between institutions, providers, bodies, challenges can be mitigated. In conclusion, advancing not only bridges gap but also drives more inclusive economically empowered society. Keywords: Inclusion, Innovation, Advancing, Software Engineering, Cutting-Edge.

Language: Английский

Citations

2
Transforming financial data centers for Fintech: Implementing Cisco ACI in modern infrastructure DOI Creative Commons

Olajide Soji Osundare,

Adebimpe Bolatito Ige

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 1806 - 1816

Published: Aug. 11, 2024

This review paper explores the transformative role of Cisco Application Centric Infrastructure (ACI) in modernizing financial data centers, particularly within fintech industry. It examines key benefits ACI, including improved operational efficiency through automation and centralized management, enhanced customer experiences due to reliable secure infrastructure, significant cost savings from optimized resource utilization, robust support for regulatory compliance. The underscores strategic importance upgrading traditional centers innovations. provides actionable recommendations institutions considering adoption ACI. By leveraging modern can achieve greater agility, security, competitiveness a rapidly evolving market. Keywords: Fintech, Data Center Modernization, Operational Efficiency, Network Security.

Language: Английский

Citations

2
Accelerating Fintech optimization and cybersecurity: The role of segment routing and MPLS in service provider networks DOI Creative Commons

Olajide Soji Osundare,

Adebimpe Bolatito Ige

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(8), P. 2454 - 2465

Published: Aug. 11, 2024

This review paper explores the profound impact of advanced financial modeling techniques on strategic business planning and performance. The begins with an overview evolution modeling, highlighting importance such as Monte Carlo simulations, real options analysis, machine learning models. It delves into role technology, including artificial intelligence big data analytics, in enhancing capabilities. discussion then shifts to how these models support by providing deeper insights, improving risk management, facilitating better decision-making. also examines challenges implementing quality issues skill gaps, offers practical recommendations. Future trends increased AI integration incorporation ESG factors, are explored. concludes emphasizing significant benefits driving decisions overall Keywords: Advanced Financial Modeling, Strategic Business Planning, Simulations, Machine Learning Models, Risk Management.

Language: Английский

Citations

2
Integrating business intelligence and predictive analytics in banking: A framework for optimizing financial decision-making DOI Creative Commons

Ibrahim Adedeji Adeniran,

Christianah Pelumi Efunniyi,

Olajide Soji Osundare

et al.

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(8), P. 1517 - 1530

Published: Aug. 31, 2024

Integrating Business Intelligence (BI) and predictive analytics in banking has become a pivotal strategy for optimizing financial decision-making. This review paper explores this integration's theoretical foundations, current trends, challenges while proposing comprehensive framework to enhance decision-making processes. The proposed emphasizes the importance of unified data architecture, advanced integration techniques, synergistic use BI tools models. By examining implications institutions, highlights how can transform strategic operational decisions, improve risk management, drive personalized customer engagement. Additionally, future trends such as adoption AI, real-time analytics, enhanced governance are discussed, along with recommendations banks aiming implement successfully. findings underscore transformative potential combining foster innovation, efficiency, competitive advantage sector. Keywords: (BI), Predictive Analytics, Banking Sector, Financial Decision-Making, Data Integration.

Language: Английский

Citations

0