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VOL. 2, ISSUE 1 (2026)
Big data analytics as a strategic enabler of business intelligence: Evidence from a mixed-method study
Authors
Vikas Yadav
Abstract
Contemporary
organizations work in data-heavy environments that increasingly need data-driven
frameworks to support management thinking and strategic actions. This study
looked at how Big Data Analytics (BDA) helps improve Business Intelligence (BI)
capabilities and influences decision-making processes in organizations. A mixed
methods research design was used, combining qualitative data from
semi-structured interviews with analytics practitioners and decision-makers,
along with quantitative evidence from a structured survey conducted across
various organizational functions. The findings show that BDA significantly
improves decision accuracy, operational efficiency, and strategic
responsiveness, mainly through real-time processing and predictive analysis.
The study also identified barriers to effective BDA use, such as problems with
data integration, lack of governance structured, unresolved ethical issues, and
notable skill gaps in analytics. This research added to existing literature by
confirming the strategic role of BDA within BI systems and providing practical
recommendations for organizations that want to use analytics to gain a
competitive edge.
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Pages:160-162
How to cite this article:
Vikas Yadav "Big data analytics as a strategic enabler of business intelligence: Evidence from a mixed-method study". International Journal of Research in All Subject, Vol 2, Issue 1, 2026, Pages 160-162
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