Enhancing Data Driven Strategies Through Adaptive Business Intelligence in Volatile Market Conditions
Keywords:
Adaptive Business Intelligence, Data-Driven Strategy, Market Volatility, Decision Sup-port, Organizational Agility, AI Analytics, Predictive SystemsAbstract
Volatile market environments demand rapid decision-making, agility, and resilience. Adaptive Business Intelligence (ABI) emerges as a dynamic response framework, enabling organizations to derive actionable insights from vast, fluctuating datasets. This study explores how ABI enhances strategic decision-making in unpredictable conditions by combining real-time analytics, artificial intelligence, and organizational agility. The paper presents key frameworks, comparative insights, and implementation strategies relevant for enterprises operating in rapidly shifting markets. Through literature-based analysis and conceptual modeling, we demonstrate how ABI can be a strategic enabler of competitive advantage and risk resilience.
References
Gangadharan, G.R., Swami, S.N.: Business intelligence systems: design and implementation strategies. Comput. Sci. Rev. 18(1), 41–51 (2004).
Watson, H.J., Wixom, B.H.: The current state of business intelligence. Computer 40(9), 96–99 (2007).
Moss, L.T., Atre, S.: Business Intelligence Roadmap: The Complete Project Lifecycle. Addison Wesley, 12(2), 204–207 (2003).
Turban, E., Sharda, R., Delen, D.: Decision support and business intelligence systems. Pearson Educ. 10(1), 34–59 (2011).
Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012).
Shollo, A., Galliers, R.D.: Towards an understanding of the role of business intelligence systems. Inf. Syst. J. 25(4), 355–381 (2015).
Sharma, R., Mithas, S., Kankanhalli, A.: Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. J. Manag. Inf. Syst. 30(4), 91–116 (2014).
Laursen, G.H.N., Thorlund, J.: Business Analytics for Managers: Taking Business Intelligence Beyond Reporting. Wiley, 13(1), 88–103 (2010).
Davenport, T.H., Harris, J.G.: Competing on analytics: the new science of winning. Harv. Bus. Rev. Press, 15(2), 5–14 (2007).
Wixom, B.H., Watson, H.J.: The BI-based organization. Int. J. Bus. Intell. Res. 1(1), 13–28 (2010).
Jourdan, Z., Rainer, R.K., Marshall, T.E.: Business intelligence: an analysis of the literature. Commun. ACM 51(4), 139–144 (2008).
Popovič, A., Hackney, R., Coelho, P.S., Jaklič, J.: Towards business intelligence systems success: effects of maturity and culture on analytical decision making. Decis. Support Syst. 54(1), 729–739 (2012).
Isik, Ö., Jones, M.C., Sidorova, A.: Business intelligence success: the roles of BI capabilities and decision environments. J. Manag. Inf. Syst. 30(1), 13–48 (2013).
Baars, H., Kemper, H.G.: Management support with structured and unstructured data—an integrated business intelligence framework. Inf. Syst. Manag. 25(2), 132–148 (2008).
Trkman, P., McCormack, K., de Oliveira, M.P.V., Ladeira, M.B.: The impact of business analytics on supply chain performance. Decis. Support Syst. 49(3), 318–327 (2010).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Álvaro Ortuño (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.