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
Nneka Damola Ajayi, Samson Abidemi Ajayi, John Oizamsi Boyi, Oluwaseun Oladeji Olaniyi · Asian Journal of Chemical Sciences · 2024
Olajide Oyebola Omogoroye, Oluwaseun Oladeji Olaniyi, Olubukola Omolara Adebiyi, Tunbosun Oyewale Oladoyinbo, Folashade Gloria Olaniyi · Asian Journal of Economics, Business and Accounting · 2023
Tunbosun Oyewale Oladoyinbo, Olubukola Omolara Adebiyi, Jennifer Chinelo Ugonnia, Oluwaseun Oladeji Olaniyi, Olalekan Jamiu Okunleye · Asian Journal of Economics, Business and Accounting · 2023
Olubukola Omolara Adebiyi · Asian Journal of Economics, Business and Accounting · 2023
Folashade Gloria Olaniyi, Oluwaseun Oladeji Olaniyi, Chinasa Susan Adigwe, Anthony Idoko Abalaka, Nishant Hemantkumar Shah · Asian Journal of Economics, Business and Accounting · 2023
Olubukola Omolara Adebiyi · Asian Journal of Economics, Business and Accounting · 2023
Oluwaseun Oladeji Olaniyi, Christopher Uzoma Asonze, Samson Abidemi Ajayi, Samuel Oladiipo Olabanji, Chinasa Susan Adigwe · Asian Journal of Economics, Business and Accounting · 2023
Oluwaseun Oladeji Olaniyi, Nishant Hemantkumar Shah, Nidhi Bahuguna · Asian Journal of Economics, Business and Accounting · 2023
Chinasa Susan Adigwe, Oluwaseun Oladeji Olaniyi, Oladotun Opeoluwa Olagbaju, Folashade Gloria Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
Samuel Oladiipo Olabanji, Oluseun Babatunde Oladoyinbo, Christopher Uzoma Asonze, Tunbosun Oyewale Oladoyinbo, Samson Abidemi Ajayi, Oluwaseun Oladeji Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
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