Big Data and Analytics: Opportunities and Challenges for Firm Performance

Big Data (BD) refers to the availability of large volumes of structured and unstructured data generated from heterogeneous internal and external sources. Firms increasingly operate in data-rich environments that simultaneously create managerial challenges and opportunities to enhance performance. This has driven growing interest in Big Data Analytics (BDA): the systems, methods, and tools that enable the extraction of value from data. Despite this interest, the literature on the performance implications of BD and BDA remains fragmented and lacks an integrative framework. This study synthesizes the recent literature by developing four interrelated perspectives. First, BD and BDA fundamentally reshape corporate decision-making, requiring changes in organizational routines and the development of new analytical and managerial capabilities. Second, human capital, education, and training are central to digital transformation, as data-driven value creation ultimately depends on users’ ability to interpret and act upon analytical outputs. Third, organizational culture and skills jointly function as both key barriers and critical enablers of effective BDA adoption. Finally, rapid technological advancement continues to outpace managerial implementation, widening the gap between scholarly prescriptions and practice. Overall, data-driven transformation should be understood not as a future aspiration but as a current strategic opportunity, accompanied by significant risks and governance challenges.