CoChat
Sign Up
Cited by 5Big Data and Business IntelligenceForecasting Techniques and ApplicationsCompetitive and Knowledge Intelligence

The DOI matches its Crossref record.

An Integrated Predictive Analytics Model for Enhancing Strategic Financial Forecasting and Decision Accuracy

Open access
Medon, Jonathan Jemine, Oduleye, Titilayo Elizabeth·2024·Gyanshauryam International Scientific Refereed Research Journal
DOI 10.32628/gisrrj247322
Open this paper in CoChat — free accountOpen PDF

Abstract

Accurate financial forecasting and strategic decision-making are essential for organizational sustainability, competitiveness, and growth. This study presents an integrated predictive analytics model designed to enhance the accuracy and reliability of financial forecasts, supporting data-driven strategic decision-making. The model leverages historical financial data, operational metrics, and market indicators to generate forward-looking insights into revenue, expenses, cash flows, and profitability. By integrating predictive algorithms, statistical modeling, and scenario analysis, the framework enables organizations to anticipate financial trends, identify potential risks, and optimize resource allocation. A core feature of the model is its ability to integrate multiple sources of financial and operational data, providing a holistic view of organizational performance. Predictive analytics facilitates the identification of patterns and correlations that are not immediately apparent through conventional analysis, thereby improving forecast precision. Scenario-based modeling further allows management to simulate the potential impact of market fluctuations, regulatory changes, and operational contingencies on financial outcomes, supporting risk-adjusted strategic planning. The model also incorporates real-time monitoring capabilities, enabling executives to make timely, informed decisions based on current financial conditions and projected trends. The adoption of this integrated predictive analytics model contributes to enhanced organizational agility, operational efficiency, and financial resilience. By improving the accuracy of forecasts and linking financial insights to strategic objectives, organizations can optimize investment decisions, prioritize initiatives, and maintain liquidity under varying market conditions. Empirical validation across multiple industries demonstrates the model’s effectiveness in reducing forecast errors, strengthening financial control, and increasing confidence among stakeholders, including investors, management, and regulators. This integrated predictive analytics framework provides a robust, data-driven approach to strategic financial forecasting, combining predictive accuracy, risk assessment, and scenario analysis to improve decision-making quality and support sustainable organizational growth.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.32628/gisrrj247322

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 56

  1. Abass, O.S., Balogun, O. and Didi, P.U., 2019. A predictive analytics framework for optimizing preventive healthcare sales and engagement outcomes. IRE Journals, 2(11), pp.497-503.
  2. Aduwo, M.O. and Nwachukwu, P.S., 2019. Dynamic Capital Structure Optimization in Volatile Markets: A Simulation-Based Approach to Balancing Debt and Equity Under Uncertainty. IRE Journals, 3(2), pp.783-792.
  3. Aduwo, M.O., Akonobi, A.B. and Makata, C.O., 2024. Cybersecurity and Data Privacy Compliance Framework for Human Resource Analytics and Digital Workforce Information Systems. International Journal of Scientific Research in Humanities and Social Sciences, 1(2), pp.562-593. · DOI
  4. Aduwo, M.O., Akonobi, A.B. and Okpokwu, C.O., 2019. A Predictive HR Analytics Model Integrating Computing and Data Science to Optimize Workforce Productivity Globally. IRE Journals, 3(2), pp.798-807.
  5. Aduwo, M.O., Akonobi, A.B. and Okpokwu, C.O., 2019. Strategic human resource leadership model for driving growth, transformation, and innovation in emerging market economies. IRE Journals, 2(10), pp.476-485.
  6. Akomea-Agyin, K. and Asante, M., 2019. Analysis of security vulnerabilities in wired equivalent privacy (WEP). International Research Journal of Engineering and Technology, 6(1), pp.529-536.
  7. Akonobi, A.B. and Okpokwu, C.O., 2019. Designing a Customer-Centric Performance Model for Digital Lending Systems in Emerging Markets. IRE Journals, 3(4), pp.395-402.
  8. Amini-Philips, A., Ibrahim, A.K. and Eyinade, W., Leveraging Data Science for Fiscal Governance: Machine Learning Approaches to Taxpayer Segmentation and Risk Profiling. · DOI
  9. Anichukwueze, C. C., Osuji, V. C., & Oguntegbe, E. E. (2019). Global Marketing Law and Consumer Protection Challenges: A Strategic Framework for Multinational Compliance. IRE Journals, 3(6), 325–333. ISSN 2456-8880
  10. Aniebonam, O. (2024). Measuring the Inflation Reduction Act’s (IRA) impact on decarbonization and equity: An integrated assessment. Journal of Environmental and Civil Engineering, 2(2), Article 1038. https://doi.org/10.69739/jece.v2i2.1038 · DOI
  11. Aniebonam, S. O. (2024). Wildfire risk to electric transmission & distribution assets: A comprehensive analysis of vulnerability, mitigation, and resilience strategies. Research Journal of Business and Economics, 3(1), Article 448. https://doi.org/10.61424/rjbe.v3i1.448 · DOI
  12. Atere, D., Shobande, A. O., & Toluwase, I. H. (2019). Framework for Designing Effective Corporate Restructuring Strategies to Optimize Liquidity and Working Capital. IRE Journals, 2(10), 555–562. ISSN 2456-8880.
  13. Babalola, , Raji, O.M.O., Akande, J.O., Abdulkareem, A.O., Anyah, V., Samson, A. and Folorunso, S., 2024. AI-Powered Cybersecurity in Edge Computing: Lightweight Neural Models for Anomaly Detection. · DOI
  14. Balogun, O., Abass, O.S. and Didi, P.U., 2024. Designing micro-journey frameworks for consumer adoption in digitally regulated retail channels. Gyanshauryam, International Scientific Refereed Research Journal, 7(4), pp.166-181.
  15. BAYEROJU, O.F., SANUSI, A.N., QUEEN, Z. and NWOKEDIEGWU, S., 2019. Bio-Based Materials for Construction: A Global Review of Sustainable Infrastructure Practices.
  16. Bukhari, T.T., Oladimeji, O., Etim, E.D. and Ajayi, J.O., 2021. Designing scalable data warehousing strategies for two-sided marketplaces: An engineering approach. International Journal of Multidisciplinary Futuristic Development, 2(2), pp.16-33. · DOI
  17. Dako, F., Onalaja, T.A., Nwachukwu, P.S., Bankole, F.A. and Lateefat, T., Financial Inclusion Through Micro-Lending Risk Models Empowering Underserved Communities with Accessible Credit Solutions. · DOI
  18. Dako, F., Onalaja, T.A., Nwachukwu, P.S., Bankole, F.A. and Lateefat, T., 2024. Business intelligence transformation through Agile methodology: Impact on decision velocity and organizational KPIs. International Journal of Scientific Research in Humanities and Social Sciences, 1(2), pp.594-611. · DOI
  19. Ekechi, C., Chukwurah, E.G., Oyeniyi, L.D. and Okeke, C.D., 2024. A review of small business growth strategies in African economies. International Journal of Advanced Economics, 6(4), pp.76-94. · DOI
  20. Elebe, O. and Imediegwu, C.C., 2024. Capstone model for retention forecasting using business intelligence dashboards in graduate programs. International Journal of Scientific Research in Science and Technology, 11(4), pp.655-675.
  21. Evans-Uzosike, I.O. and Okatta, C.G., 2019. Strategic human resource management: trends, theories, and practical implications. Iconic Research and Engineering Journals, 3(4), pp.264-270.
  22. Evans-Uzosike, I.O., Okatta, C.G., Otokiti, B.O., Ejike, O.G. and Kufile, O.T., 2024. Modeling the Impact of Project Manager Emotional Intelligence on Conflict Resolution Efficiency Using Agent-Based Simulation in Agile Teams. International Journal of Scientific Research in Civil Engineering, 8(5), pp.154-167.
  23. Evans-Uzosike, O., Okatta, C.G., Otokiti, B.O., Ejike, O.G. and Kufile, O.T., 2024. Optimizing Talent Acquisition Pipelines Using Explainable AI: A Review of Autonomous Screening Algorithms and Predictive Hiring Metrics in HRTech Systems.
  24. Farounbi, B. O., Okafor, C. M., & Oguntegbe, E. E. (2019). Conceptual Model for Innovative Debt Structuring to Enhance Mid-Market Corporate Growth Stability. IRE Journals, 2(12), 451–458. ISSN 2456-8880
  25. Farounbi, B. O., Okafor, C. M., & Oguntegbe, E. E. (2019). Empirical Review of Risk-Adjusted Return Metrics in Private Credit Investment Portfolios. IRE Journals, 3(4), 494–501. ISSN 2456-8880
  26. Farounbi, B. O., Okafor, C. M., & Oguntegbe, E. E. (2019). Framework for Leveraging Private Debt Financing to Accelerate SME Development and Expansion. IRE Journals, 2(10), 540–547. ISSN 2456-8880
  27. Farounbi, B., Okafor, C.M. and Oguntegbe, E.E., 2021. Comparative Review of Private Debt Versus Conventional Bank Lending in Emerging Economies.
  28. Farounbi,O., Oshomegie, M.J. and Ogunsola, O.E., 2024. Data-driven conceptual models for sustainably funding and evaluating community-led development initiatives. International Journal of Scientific Research in Humanities and Social Sciences, 1(2), pp.766-785.
  29. Filani, O.M., Olajide, J.O. and Osho, G.O., 2021. A python-based record-keeping framework for data accuracy and operational transparency in logistics. Journal of Advanced Education and Sciences, 1(1), pp.78-88. · DOI
  30. Ibrahim, A.K., Amini-Philips, A. and Eyinade, W., 2024. Documentation and Compliance Framework for Global Facility Management Standards. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), pp.113-128.
  31. Ilufoye, H., Akinrinoye, O.V. and Okolo, C.H., 2024. A digitization advancement model for informal retail in developing economies. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(3), p.579.
  32. Kufile,T., Otokiti, B.O., Onifade, A.Y., Ogunwale, B. and Okolo, C.H., 2021. Creating budget allocation frameworks for data-driven omnichannel media planning. IRE J, 5(6), pp.440-5.
  33. Kufile,T., Otokiti, B.O., Onifade, A.Y., Ogunwale, B. and Okolo, C.H., 2021. Constructing cross-device ad attribution models for integrated performance measurement. IRE J, 4(12), pp.460-5.
  34. Ojonugwa,M., Otokiti, B.O., Abiola-Adams, O. and Ifeanyichukwu, F., 2021. Constructing data-driven business process optimization models using KPI-linked dashboards and reporting tools. Int J Multidiscip Res Growth Eval, 2(2), pp.330-6. · DOI
  35. Okafor, C.M., Osuji, V.C. and Dako, O.F., 2024. Harmonizing Risk Governance, Technology Infrastructure, and Compliance Frameworks for Future-Ready Banking Systems. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), pp.316-337.
  36. Okolo, H., Olinmah, F.I., Uzoka, A.C., Victoria, K. and Omotayo, O.S.A., 2023. RegTech Implementation Roadmap: Integrating Automated Compliance Tools in Agile Financial Product Lifecycles. Financial Technology Review, 15(3), pp.134-151. · DOI
  37. Olinmah, F.I., Abiola-Adams, O., Otokiti, B.O. and Ojonugwa, B.M., 2024. A data-driven internal controls modeling framework for operational risk mitigation in financial services. International Journal of Scientific Research in Science, Engineering and Technology, 11(5), pp.368-383. · DOI
  38. Olinmah, F.I., Otokiti, B.O., Abiola-Adams, O. and Ojonugwa, B.M., 2024. Designing Regulatory Risk Reporting Frameworks Using Automation Tools in Banking Sector Compliance. International Journal of Scientific Research in Science, Engineering and Technology, 11(5), pp.353-367. · DOI
  39. Omotayo, K.V., Uzoka, A.C., Okolo, C.H., Olinmah, F.I. and Adanigbo, O.S., 2021. Scalable Merchant Acquisition Model for Payment Platform Penetration across Nigeria’s Informal Commercial Economy. · DOI
  40. Onalaja,A., Nwachukwu, P.S., Bankole, F.A. and Lateefat, T., 2022. Sustainability versus Profitability: A Systems Dynamics Model of Environmental, Social, and Governance-Driven Financial Strategy in Frontier Economies. Sustainable Development Review, 14(4), pp.189-207.
  41. Oyeniyi, D., Ugochukwu, C.E. and Mhlongo, N.Z., 2024. Analyzing the impact of algorithmic trading on stock market behavior: A comprehensive review. World Journal of Advanced Engineering Technology and Sciences, 11(2), pp.437-453. · DOI
  42. Oyeniyi, D., Ugochukwu, C.E. and Mhlongo, N.Z., 2024. Implementing AI in banking customer service: A review of current trends and future applications. International Journal of Science and Research Archive, 11(2), pp.1492-1509. · DOI
  43. Oyeniyi, D., Ugochukwu, C.E. and Mhlongo, N.Z., 2024. The influence of AI on financial reporting quality: A critical review and analysis. World Journal of Advanced Research and Reviews, 22(1), pp.679-694. · DOI
  44. Oyeniyi, L.D., Ugochukwu, C.E. and Mhlongo, N.Z., 2024. Transforming financial planning with AI-driven analysis: A review and application insights. Finance & Accounting Research Journal, 6(4), pp.626-647. · DOI
  45. Seyi-Lande, O. and Onaolapo, C.P., 2024. Elevating Business Analysis with AI: Strategies for Analysts. · DOI
  46. Seyi-Lande, O.B., Arowogbadamu, A.A.G. and Oziri, S.T., 2024. Subscriber Base Expansion Through Strategic Innovation and Market Penetration in Competitive Telecommunications Landscapes. · DOI
  47. Seyi-Lande, O.B., Johnson, E., Adeleke, G.S., Amajuoyi, C.P. and Simpson, B.D., 2024. The role of data visualization in strategic decision making: Case studies from the tech industry. Computer Science & IT Research Journal, 5(6), pp.1374-1390. · DOI
  48. Seyi-Lande, O.B., Layode, O., Naiho, H.N.N., Adeleke, G.S., Udeh, E.O., Labake, T.T. and Johnson, E., 2024. Circular economy and cybersecurity: Safeguarding information and resources in sustainable business models. Finance & Accounting Research Journal, 6(6), pp.953-977. · DOI
  49. Shobande, A. O., Atere, D., & Toluwase, I. H. (2019). Conceptual Model for Evaluating Mid-Market M&A Transactions Using Risk-Adjusted Discounted Cash Flow Analysis. IRE Journals, 2(7), 241–247. ISSN 2456-8880.
  50. Taiwo, K.A. and Akinbode, A.K., 2024. Intelligent supply chain optimization through IoT analytics and predictive AI: A comprehensive analysis of US market implementation. International Journal of Modern Science and Research Technology, 2(3), pp.1-22.
  51. Taiwo,A., Akinbode, A.K. and Uchenna, E., 2024. Advanced A/B testing and causal inference for AI-driven digital platforms: A comprehensive framework for US digital markets. International Journal of Computer Applications Technology and Research, 13(6), pp.24-46. · DOI
  52. Uddoh,, Ajiga, D., Okare, B.P. and Aduloju, T.D., 2021. Streaming analytics and predictive maintenance: Real-time applications in industrial manufacturing systems. Journal of Frontiers in Multidisciplinary Research, 2(1), pp.285-291. · DOI
  53. Uddoh,, Ajiga, D., Okare, B.P. and Aduloju, T.D., 2024. Conducting IoT Vulnerability Risk Assessments in Smart Factory Networks: Tools and Techniques. International Journal of Scientific Research in Science and Technology, 11(5), pp.777-791.
  54. Uddoh, , Ajiga, D., Okare, B.P. and Aduloju, T.D., 2024. Scalable AI-Powered Cyber Hygiene Models for Microenterprises and Small Businesses. International Journal of Scientific Research in Civil Engineering, 8(5), pp.177-188.
  55. Umoren, O., Didi, P.U., Balogun, O., Abass, O.S. and Akinrinoye, O.V., 2019. Linking macroeconomic analysis to consumer behavior modeling for strategic business planning in evolving market environments. IRE Journals, 3(3), pp.203-213.
  56. Umoren, O., Didi, P.U., Balogun, O., Abass, O.S. and Akinrinoye, O.V., 2021. Marketing intelligence as a catalyst for business resilience and consumer behavior shifts during and after global crises. Journal of Frontiers in Multidisciplinary Research, 2(2), pp.195-203. · DOI

Cited by

Sorted by citations

See all 5

Metadata

Authors
Medon, J. J., & Oduleye, T. E.
Affiliations
  • Independent Researcher, USA
  • Eterna Plc, Lagos, Nigeria
Venue
Gyanshauryam International Scientific Refereed Research Journal
Publisher
Technoscience Academy
Published
2024-05-01
Pages
258-279
ISSN
2582-0095 (ISSN-L)
DOI
10.32628/gisrrj247322
OpenAlex
W4416399066
Cited by
5
References
0
Citations by year
2026: 1 · 2025: 1 · 2024: 2
FWCI
1.88
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Gyanshauryam International Scientific Refereed Research Journal (publishedVersion, cc-by)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Competitive and Knowledge Intelligence
Keywords
financial forecasting, predictive analytics, strategic decision-making, scenario analysis, financial risk assessment, real-time financial monitoring, cash flow forecasting, profitability forecasting, multi-source data fusion, investment decision-making, financial resilience, organizational agility

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An Integrated Predictive Analytics Model for Enhancing Strategic Financial Forecasting and Decision Accuracy. https://app.cochat.ai/papers/10.32628/gisrrj247322
The paper
Medon, J. J., & Oduleye, T. E. (2024). An Integrated Predictive Analytics Model for Enhancing Strategic Financial Forecasting and Decision Accuracy. Gyanshauryam International Scientific Refereed Research Journal. https://doi.org/10.32628/gisrrj247322