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This is a Literature Review study.

September 10, 2025

Employability of Big Data Tools and Techniques in Catalyzing an Effective Business Transformation

Key Points

Big data analytics significantly enhances operational excellence and customer experience in various sectors.
Evidence shows that big data analytics outperforms traditional business intelligence, particularly in dynamic environments.
The study utilizes a synthesis of peer-reviewed work, informed by resource-based and dynamic capabilities views.
Awareness of risks like data quality and algorithmic bias highlights the need for robust mitigation strategies.

Abstract

Over the past decade, big data analytics (BDA) matured from promise to practice, reshaping how firms sense opportunities, decide, and deliver value. Synthesizing peer-reviewed work from 2012–2021, this paper explains how BDA capabilities (data, technology, talent, governance, and culture) convert into operational excellence, enhanced customer experience, and new business models. We ground the discussion in the resource-based and dynamic capabilities views, and a socio-technical lens, and distill evidence across healthcare, manufacturing, marketing/retail, and the public sector. Comparative analyses show BDA outperforming traditional business intelligence (BI) when environmental dynamism is high and when firms orchestrate complementary organizational changes. We also catalogue risks—data quality, privacy, algorithmic bias, and adoption barriers— and outline mitigations. We conclude with a research agenda on measurable value pathways, capability micro foundations, responsible AI, and sector-specific playbooks.

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