Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Decision-Centric Financial Analytics for Executive-Level Strategy Formulation

Micheal Olumuyiwa Adesuyi, Gaurav Walawalkar, Adaora Kalu

Abstract

Decision-centric financial analytics represents a paradigm shift in how financial information is designed, interpreted, and applied in executive-level strategy formulation. Traditional financial analytics frameworks have largely emphasized retrospective reporting, static key performance indicators, and data-centric dashboards that provide limited support for complex, high-stakes strategic decisions. In contrast, DCFA reorients financial analytics around the specific decisions faced by executives, explicitly linking data, models, and insights to strategic choices such as capital allocation, portfolio optimization, market entry, mergers and acquisitions, and enterprise risk trade-offs. This abstract synthesizes the conceptual foundations, architectural elements, and strategic relevance of decision-centric financial analytics within contemporary organizations operating under heightened volatility, uncertainty, complexity, and ambiguity. The conceptualizes DCFA as an integrated system that combines financial, operational, and external market data with advanced analytical models, including scenario analysis, probabilistic forecasting, and optimization techniques, to support forward-looking and value-oriented decision-making. Emphasis is placed on aligning analytics outputs with executive cognitive processes, time horizons, and governance requirements, thereby enhancing decision quality rather than merely increasing data availability. The framework highlights the role of interactive decision interfaces, narrative-driven insights, and real-time scenario exploration in enabling executives and boards to evaluate strategic options, understand risk-return trade-offs, and anticipate second-order financial impacts. Furthermore, the abstract underscores the growing importance of artificial intelligence and automation in scaling decision-centric analytics, while acknowledging critical challenges related to explainability, model risk, and governance. By embedding financial analytic

Keywords

decision-centric analytics; executive decision-making; strategic finance; financial analytics architecture; capital allocation; scenario analysis; enterprise risk management; AI in finance

References

Adeyoyin, O., Awanye, E.N., Morah, O.O. and Ekpedo, L., 2020. A Conceptual Framework Linking Financial Strategy and Operational Excellence in Manufacturing Firms. 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. Aifuwa, S.E., Oshoba, T.O., Ogbuefi, E., Ike, P.N., Nnabueze, S.B. and Olatunde-Thorpe, J., 2020. Predictive analytics models enhancing supply chain demand forecasting accuracy and reducing inventory management inefficiencies. International Journal of Multidisciplinary Research and Growth Evaluation, 1(3), pp.171-181. Akinola, A.S., Adebiyi, F.M., Santoro, A. and Mastrolitti, S., 2018. Study of resin fraction of Nigerian crude oil using spectroscopic/spectrometric analytical techniques. Petroleum Science and Technology, 36(6), pp.429-436. Akinola, A.S., Farounbi, B.O., Onyelucheya, O.P. and Okafor, C.M., 2020. Translating finance bills into strategy: Sectoral impact mapping and regulatory scenario analysis. Journal of Frontiers in Multidisciplinary Research, 1(1), pp.102-111. 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. Akonobi, A.B. and Okpokwu, C.O., 2020. A cloud-native software innovation framework for scalable fintech product development and deployment. IRE Journals, 4(3), pp.211-218. Alao, O.B., Nwokocha, G.C. and Morenike, O.P.E.Y.E.M.I., 2019. Supplier collaboration models for process innovation and competitive advantage in industrial procurement and manufacturing operations. Int J Innov Manag, 16, p.17. Amini-Philips, A., Ibrahim, A.K. and Eyinade, W., 2020. Proposed evolutionary model for global facility management practices. Int J Multidiscip Res Growth Eval, 1(5), pp.180-95. Anthony, P. and Dada, S.A., 2020. Data-driven optimization of pharmacy operations and patient access through interoperable digital systems. Int J Multidiscip Res Growth Eval, 1(2), pp.229-44. Ayanbode,N., Cadet, E., Etim, E.D., Essien, I.A. and Ajayi, J.O., 2019. Deep learning approaches for malware detection in large-scale networks. IRE Journals, 3(1), pp.483-502. Babatunde, L.A., Etim, E.D., Essien, I.A., Cadet, E., Ajayi, J.O., Erigha, E.D. and Obuse, E., 2020. Adversarial machine learning in cybersecurity: Vulnerabilities and defense strategies. Journal of Frontiers in Multidisciplinary Research, 1(2), pp.31-45. Bankole, F.A., Dako, O.F., Onalaja, T.A., Nwachukwu, P.S. and Lateefat, T., 2019. Blockchain- enabled systems fostering transparent corporate governance, reducing corruption, and improving global financial accountability. Iconic Res Eng J, 3(3), pp.259-78. Bukhari, T.T., Oladimeji, O.Y.E.T.U.N.J.I., Etim, E.D. and Ajayi, J.O., 2019. Toward zero-trust networking: A holistic paradigm shift for enterprise security in digital transformation landscapes. IRE Journals, 3(2), pp.822-831. Dako, O.F., Onalaja, T.A., Nwachukwu, P.S., Bankole, F.A. and Lateefat, T., 2020. Big data analytics improving audit quality, providing deeper financial insights, and strengthening compliance reliability. Journal of Frontiers in Multidisciplinary Research, 1(2), pp.64-80. Efobi, O.Z., Akinleye, O.K. and Fasawe, O., 2017. Framework for Quantitative Evaluation of ESG Adoption within SME Supply Chains in Emerging Economies. measurement. Ekechi, T. A. & Fasasi, T. S.(2020). Conceptual Framework for Process Optimization in Gas Turbine Performance and Energy Efficiency. International Journal of Future Engineering Innovations, 1(2), 138 - 153. https://doi.org/10.54660/IJMFD.2020.1.2.138-153 Ekechi, T. A. & Fasasi, T. S.(2020). Conceptual Framework for Sustainable Gas Processing and Dehydration Efficiency in Offshore Facilities. International Journal of Multidisciplinary Futuristic Development, 1(5), 340 - 357. https://doi.org/10.54660/.IJMRGE.2020.1.5.340-357 Ekechi, T. A. & Fasasi, T. S.(2020). Conceptual Model for Regeneration of Biodiesel from Agricultural Feedstock and Waste Materials. International Journal of Multidisciplinary Futuristic Development, 1(2), 154 - 169. https://doi.org/10.54660/IJMFD.2020.1.2.154- 169 Ekechi, T. A.(2019). Framework for Lifecycle Management and Recycling of Spent Lithium-Ion Battery Components. International Journal of Multidisciplinary Research and Growth Evaluation, 4(6), 1271 - 1290. https://doi.org/10.54660/.IJMRGE.2023.4.6.1271-1290 Erigha, E.D., Obuse, E., Ayanbode, N., Cadet, E. and Etim, E.D., 2019. Machine learning-driven user behavior analytics for insider threat detection. IRE Journals, 2(11), pp.535-544. Ugwu-Oju Erigha, ESSIEN, I.A., NWOKOCHA, G.C., ERIGHA, E.D., OBUSE, E. and AKINDEMOWO, A.O., 2020. Leveraging predictive analytics to drive strategic KPI development in cross- functional innovation teams. J Front Multidiscip Res, 1(1), pp.71-85. Etim,E.D., Essien, I.A., Ajayi, J.O., Erigha, E.D. and Obuse, E., 2019. AI-augmented intrusion detection: Advancements in real-time cyber threat recognition. IRE Journals, 3(3), pp.225-230. Farounbi,B.O., Akinola, A.S., Adesanya, O.S. and Okafor, C.M., 2018. Automated payroll compliance assurance: Linking withholding algorithms to financial statement reliability. IRE Journals, 1(7), pp.341-357. Farounbi, B.O., Ibrahim, A.K. and Oshomegie, M.J., 2020. Proposed evidence-based framework for tax administration reform to strengthen economic efficiency. Iconic Res Eng J, 3(11), pp.480-95. Filani,O.M., Nwokocha, G.C. and Babatunde, O.L.A.K.U.N.L.E., 2019. Lean inventory management integrated with vendor coordination to reduce costs and improve manufacturing supply chain efficiency. Continuity, 18, p.19. GAFFAR,O., SIKIRU, A.O., OTUNBA, M. and ADENUGA, A.A., 2019. A Predictive Analytics Model for Multi-Currency IT Operational Expenditure Management. GAFFAR, O., SIKIRU, A.O., OTUNBA, M. and ADENUGA, A.A., 2020. Autonomous Data Warehousing for Financial Institutions: Architectures for Continuous Integration, Scalability, and Regulatory Compliance. Ibrahim, A.K., Oshomegie, M.J. and Farounbi, B.O., 2020. Systematic review of tariff-induced trade shocks and capital flow responses in emerging markets. Iconic Research and Engineering Journals, 3(11), pp.504-521. Kamau,E.N., 2018. Energy efficiency comparison between 2.1 GHz and 28 GHz based communication networks (Doctoral dissertation, MS Thesis, Dept. Commun. Syst. &Netw., Tampere Univ. Tech., Tampere, Finland). Matter, D.I.R.S. and An, E., 2017. Stock returns sensitivity to interest rate changes. J Finance Econ, 12(4), pp.112-30. Morah, O.O., Awanye, E.N., Ekpedo, L. and Adeyoyin, O., 2020. A Review of Leadership, Operational Efficiency, and Financial Strategy Integration in Corporations. NDUKA, S. (2020). Analytical Framework for Linking Soil Fertility Parameters with Agricultural Output Efficiency. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 244 - 262. https://doi.org/10.54660/.IJMRGE.2020.1.5.244-262 NDUKA, S. (2020). Integrated Approach for Combining Spatial Data and Economic Indicators in Land Evaluation. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 311 - 328. https://doi.org/10.54660/.IJMRGE.2020.1.5.311-328 NDUKA, S. (2020). Modelling Approach to Evaluate Carbon Retention and Climate Interaction in Dryland Farming. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 263 - 280. https://doi.org/10.54660/.IJMRGE.2020.1.5.263-280 Nwafor, M.I., Ajirotutu, R.O. and Uduokhai, D.O., 2020. Framework for integrating cultural heritage values into contemporary African urban architectural design. Framework, 1(5). Nwafor, M.I., Uduokhai, D.O. and Ajirotutu, R.O., 2020. Multi-criteria decision-making model for evaluating affordable and sustainable housing alternatives. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), pp.402-410. Nwafor, M.I., Uduokhai,

More Articles from JOURNAL OF ACCOUNTING AND FINANCIAL MANAGEMENT

Cashflow Management and the Performance of Commercial Banks in Nigeria

Author: Jeffrey Ayas Iyakonbogha, Clement E. Ozele

The Nigerian Code of Corporate Governance and Financial Performance of Deposit Money Banks in Nigeria

Author: i, Eneaniofu Daniel Mmaduakonam, ii, Azolike Nkiru Nkechi, iii, Emeter Patrick Okechukwu, iv, Okwor Emmanuel Ejimnkonye