Business Data-Driven Agile Strategic Adjustment in Enterprises

Kailu Tian

Artificial Intelligence and Digital Technology, 2025, vol. 2, issue 1, 122-132

Abstract: In an era of rapid technological change, intense competition, and volatile markets, enterprises face increasing uncertainty and complexity. This study investigates how business data can support agile strategic adjustment, enabling organizations to sense environmental changes, formulate evidence-based strategies, execute initiatives efficiently, and iteratively optimize performance. By integrating internal, external, and third-party data sources, enterprises can enhance strategic sensing, prioritize initiatives, allocate resources effectively, and respond proactively to emerging opportunities and risks. The study develops a framework illustrating the mechanisms through which business data facilitates agile strategic management and demonstrates its application using illustrative data. The findings indicate that data-driven strategic approaches improve organizational responsiveness, resilience, and long-term competitiveness. The research provides both theoretical insights and practical guidance for enterprises seeking to implement data-enabled agile strategies.

Keywords: business data; agile strategic adjustment; strategic sensing; data-driven decision-making; performance optimization; organizational agility (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:axf:aidtaa:v:2:y:2025:i:1:p:122-132

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