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◆ Data & Knowledge Engineering2026-03-21· Computer science

Data and analytics strategy: A qualitative analysis of protection, management, and exploration objectives using dynamic capabilities theory

Mauricius Munhoz de Medeiros, Antônio Carlos Gastaud Maçada

原始摘要(英文原文)· Original abstract
This study aims to analyze how organizations across different business contexts drive and align their D&A strategies to create business value, deepening the understanding of the characteristics, indicators, and dimensions that reflect their strategic choices. Based on a qualitative study, in-depth interviews were conducted with 32 informants from Brazilian organizations. The results were analyzed from the theoretical perspective of dynamic capabilities. The empirical evidence and inferences analyzed indicate that D&A's positioning and strategy can be reflected in three dimensions of objectives: protection, management, and exploration. Furthermore, the study discussed how each objective of the D&A strategy relates to the data-driven dynamic capabilities of sensing, capturing, and transformation. The results obtained and the propositions developed are synthesized into an integrative model that describes the relationships among strategic positioning for D&A, the indicators for each objective across the three dimensions of the D&A strategy, and the D&A strategy's relationship with data-driven dynamic capabilities. Therefore, the study explains how organizations drive and align their D&A positioning, strategy, and objectives to create business value. Thus, this qualitative study fills a significant gap in research by examining the topic in depth from a multifaceted perspective. The results offer guidance for organizations to evaluate and implement optimized data and analytics strategies, balancing protection with the creation of analytical data-driven value to increase competitiveness sustainably.
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