Utilizing Big Data Analytics and Business Intelligence for Improved Decision-Making at Leading Fortune Company
Oluwaseun Oladeji Olaniyi, Anthony Idoko Abalaka, Samuel Oladiipo Olabanji
Journal of Scientific Research and Reports · pp. 64–72 · Published 14 Sep 2023
10.9734/jsrr/2023/v29i91785Abstract
The present study evaluates Walmart’s existing big data analytics with business intelligence techniques, accentuating their strengths and weaknesses, and suggests improvements for implementation and maintenance through the literature review of the scholarly journals addressing similar topics. Big data analytics is receiving loads of attention globally in the business environment within every sector of the economy. Incorporating the job plan as an additional input component in their models would be beneficial for Walmart to improve the precision and appropriateness of their data analysis and decision-making procedures. Walmart is a company that heavily invests in utilizing big data to improve its operations; this includes optimizing in-store experiences and predicting product trends. Scholarly articles emphasize the importance of advanced data analytics tools like MapReduce and Apache Spark for effective big data strategies. Social media content influences engagement and sentiment. Social network data aids sales forecasting but presents challenges. Big data analytics with business intelligence enhances performance and decision-making. Walmart's success in big data analytics relies on a data-driven culture but faces security challenges. Many Fortune 1000 companies adopt innovative solutions to improve performance and customer experiences but require significant resources. Embracing big data analytics with business intelligence remains a compelling investment for sustaining a competitive edge. Walmart's success in big data analytics is due to a data-driven culture and advanced infrastructure, including the Data Café.
Cited by 39
Chinasa Susan Adigwe, Oluwaseun Oladeji Olaniyi, Samuel Oladiipo Olabanji, Olalekan Jamiu Okunleye, Nanyeneke Ravana Mayeke, Samson Abidemi Ajayi · Asian Journal of Economics, Business and Accounting · 2024
Samuel Oladiipo Olabanji, Tunbosun Oyewale Oladoyinbo, Christopher Uzoma Asonze, Chinasa Susan Adigwe, Olalekan Jamiu Okunleye, Oluwaseun Oladeji Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
Chinasa Susan Adigwe, Nanyeneke Ravana Mayeke, Samuel Oladiipo Olabanji, Olalekan Jamiu Okunleye, Princess Chimmy Joeaneke, Oluwaseun Oladeji Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
Brunda C., Disha, P. S. Aithal · Poornaprajna International Journal of Management, Education & Social Science (PIJMESS) · 2025
Samuel Oladiipo Olabanji, Oluwaseun Oladeji Olaniyi, Chinasa Susan Adigwe · 2024
Kanchan Naithani, Y. P. Raiwani, Shrikant Tiwari · Flexible Systems Management · 2025
Oluwaseun Oladeji Olaniyi · Asian Journal of Research in Computer Science · 2024
Shujun Nan, Zhuang Li, Xuejun Wang · 2025 International Conference on Computers, Information Processing and Advanced Education (CIPAE) · 2025
Huanqing Liu · Proceedings of the 2025 2nd International Conference on Informatics Education and Computer Technology Applications · 2025
Jiangwei Luo, Mohd Wira Mohd Shafiei, Radzi Ismail · Journal of Strategy & Innovation · 2025
Showing 29 of 39 known citations — external sources report more than can currently be individually listed.
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