BUSINESS INTELLIGENCE AND BIG DATA ANALYTICS: INSIGHTS FROM FORTUNE 1000 COMPANIES’ LITERATURE

Authors

  • Anderson Elijah Chukwuma School of Computer and Information Sciences, University of the Cumberlands

DOI:

https://doi.org/10.5281/zenodo.17062298

Keywords:

Business Analytics, Business Intelligence, Big Data, Data Technologies, Fortune 1000 Companies

Abstract

This study provides a comprehensive literature review on the integration of business intelligence and big data analytics within Fortune 1000 companies, focusing on their impact on operational efficiency and decision-making. It explores the opportunities and challenges faced by these organizations, including the rapid growth of data from diverse sources, difficulties in data integration, and shortages of skilled personnel. The review highlights the critical role of advanced analytics technologies in processing large datasets to uncover valuable insights that inform strategic decisions. Case studies, such as Walmart, demonstrate successful implementations and the obstacles encountered. Findings suggest that while big data analytics significantly improves corporate performance, organizations must address data quality issues, invest in talent, and foster a data-driven culture to fully leverage these benefits. The study concludes with recommendations for enhancing big data initiatives, including adopting cutting-edge tools and optimizing integration processes to sustain competitive advantage.

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Published

2025-09-05

How to Cite

Anderson , E. C. (2025). BUSINESS INTELLIGENCE AND BIG DATA ANALYTICS: INSIGHTS FROM FORTUNE 1000 COMPANIES’ LITERATURE. Ayden Journal of Engineering and Applied Sciences, 13(3), 10–25. https://doi.org/10.5281/zenodo.17062298

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Section

Articles