Business Intelligence Systems for Strategic Financial Management
-
DOI:
https://doi.org/10.67228/3071642X/IJCFDE-2019PII7N4VPublished 08-05-2019
Business Intelligence, Strategic Financial Management, Data Warehousing, Financial Analytics, Decision Support Systems, Olap, Financial Forecasting, Performance Management, Data Mining, Executive Dashboards Issue
Section
ArticlesHow to Cite
Hassan, A., & Noor, F. (2019). Business Intelligence Systems for Strategic Financial Management. International Journal of Commerce, Finance and Digital Economy, 2(2), 01-17. https://doi.org/10.67228/3071642X/IJCFDE-2019PII7N4VAbstract
Business Intelligence (BI) systems have become essential tools for strategic financial management by transforming large volumes of financial data into actionable insights for planning, forecasting, budgeting, investment analysis, risk management, and decision-making. Unlike traditional financial management methods that relied on historical reporting and manual analysis, BI technologies automate data collection, integrate information from multiple sources, and provide real-time analytical capabilities. Key BI components such as data warehousing, OLAP, dashboards, reporting tools, data mining, and predictive analytics help organizations monitor performance, identify trends, assess risks, and develop evidence-based financial strategies. BI adoption across industries, including banking, manufacturing, healthcare, and telecommunications, has improved decision quality, reporting efficiency, forecasting accuracy, financial transparency, and organizational competitiveness. This study presents a systematic review of BI systems in strategic financial management before 2019, examining their evolution, architecture, analytical methods, and impact on financial performance. The findings indicate that BI frameworks significantly enhance financial planning, governance, and strategic decision-making despite challenges related to data integration, organizational resistance, and implementation costs. Overall, BI technologies serve as a foundation for modern data-driven financial decision support systems.
References
[1] W. H. Inmon, Building the Data Warehouse, 4th ed. Indianapolis, IN, USA: Wiley Publishing, 2005.
[2] R. Kimball and M. Ross, The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd ed. New York, NY, USA: Wiley, 2013.
[3] H. J. Watson and B. H. Wixom, “The current state of business intelligence,” Computer, vol. 40, no. 9, pp. 96–99, Sept. 2007.
[4] E. Turban, R. Sharda, D. Delen, and J. Aronson, Decision Support and Business Intelligence Systems, 10th ed. Upper Saddle River, NJ, USA: Pearson Education, 2011.
[5] C. Howson, Successful Business Intelligence: Secrets to Making BI a Killer App, New York, NY, USA: McGraw-Hill, 2008.
[6] B. H. Wixom and H. J. Watson, “The BI-based organization,” International Journal of Business Intelligence Research, vol. 1, no. 1, pp. 13–28, 2010.
[7] T. H. Davenport and J. G. Harris, Competing on Analytics: The New Science of Winning, Boston, MA, USA: Harvard Business School Press, 2007.
[8] D. J. Power, “Decision support systems: Concepts and resources for managers,” Westport, CT, USA: Greenwood Publishing Group, 2002.
[9] H. Dresner, The Performance Management Revolution: Business Results Through Insight and Action, Hoboken, NJ, USA: Wiley, 2007.
[10] M. Golfarelli and S. Rizzi, Data Warehouse Design: Modern Principles and Methodologies, New York, NY, USA: McGraw-Hill, 2009.
[11] C. Adamson, Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance, New York, NY, USA: Wiley, 2009.
[12] T. Ramakrishnan, R. Jones, and A. Sidorova, “Factors influencing business intelligence (BI) data collection strategies,” Decision Support Systems, vol. 52, no. 2, pp. 486–496, Jan. 2012.
[13] S. Negash and P. Gray, “Business intelligence,” in Handbook on Decision Support Systems, Berlin, Germany: Springer, 2008, pp. 175–193.
[14] T. H. Davenport, Analytics at Work: Smarter Decisions, Better Results, Boston, MA, USA: Harvard Business Press, 2010.
[15] B. H. Wixom, H. J. Watson, J. Reynolds, and M. Hoffer, “A framework for business intelligence success,” Business Intelligence Journal, vol. 15, no. 3, pp. 13–21, 2010.
Downloads
How to Cite
Hassan, A., & Noor, F. (2019). Business Intelligence Systems for Strategic Financial Management. International Journal of Commerce, Finance and Digital Economy, 2(2), 01-17. https://doi.org/10.67228/3071642X/IJCFDE-2019PII7N4V
Similar Articles
- Marco Bianchi, Supply Chain Resilience Strategies in the Digital Era , International Journal of Commerce, Finance and Digital Economy: Vol. 1 No. 2 (2018)
- Alan Bundy, Karen Spärck Jones, FinTech Solutions for Rural and Underserved Communities , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 2 (2025)
- Dr. Rajesh Kumar Sharma, Data-Driven Pricing Strategies in Online Retail Markets , International Journal of Commerce, Finance and Digital Economy: Vol. 2 No. 1 (2019)
- N. Seshagiri, Anti-Money Laundering (AML) Systems Using AI , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 1 (2025)
- Dr. Sneha Banerjee, Innovative FinTech Models for Future Financial Services , International Journal of Commerce, Finance and Digital Economy: Vol. 2 No. 1 (2019)
- Ethan Harris, AI-Powered Fraud Prevention Systems in Financial Services , International Journal of Commerce, Finance and Digital Economy: Vol. 3 No. 2 (2020)
- Chloe King, Smart Retailing Using IoT and Real-Time Analytics , International Journal of Commerce, Finance and Digital Economy: Vol. 5 No. 2 (2022)
- Narendra Karmarkar, Quantum Computing Applications in Financial Modeling , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 2 (2025)
- Dr. Rajesh Kumar Sharma, Dr. Priya Natarajan, Economic Impacts of Digital Payment Adoption in Emerging Markets , International Journal of Commerce, Finance and Digital Economy: Vol. 3 No. 2 (2020)
- Ritu Sharma, Kavita Nair, Business Model Innovations in Subscription-Based Commerce , International Journal of Commerce, Finance and Digital Economy: Vol. 9 No. 1 (2026)
You may also start an advanced similarity search for this article.