Research Article

Fortune 1000 Companies Big Data Analytics Literature Review

Authors

  • Milankumar Rana Department of Information Technology, University of the Cumberlands, Williamsburg, KY 40769, USA

Abstract

This research analyzes Walmart's significant facts analytics and commercial enterprise intelligence methodologies. The paper highlights both the employer's strengths and issues and makes pointers for adjustments to be made concerning deployment and renovation by conducting a literature overview of associated publications. In every business industry, massive records analytics is becoming increasingly famous worldwide. Walmart places a high precedence on using considerable facts to improve operations, making it feasible to optimize in-shop experience and forecast product trends, amongst other matters. Olaniyi et al. (2023) studies shed light on the significance of contemporary facts analytics techniques, including MapReduce and Apache Spark, for the accomplishment of large information projects. Engagement and sentiment are each encouraged through the content of social media. Using information from social networks can be beneficial in predicting income, but it also offers demanding situations. Combining enterprise intelligence with massive facts analytics enhances overall performance and decision-making accuracy. Even though Walmart's fulfillment in extensive records analytics is based on a data-driven lifestyle, security issues nonetheless want to be addressed. Olaniyi et al. (2023) observed that Fortune 1000 agencies put innovative solutions in force to improve their performance and the excellence of their client interactions; however, this usually requires a total amount of money. When it comes to maintaining a competitive advantage, investing in massive information analytics and business intelligence is necessary. Walmart's fulfillment in massive records analytics may be attributed to the employer's ethos of being statistics-pushed (Olaniyi et al., 2023).

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

6 (2)

Pages

166-170

Published

2024-04-25

How to Cite

Milankumar Rana. (2024). Fortune 1000 Companies Big Data Analytics Literature Review. Journal of Computer Science and Technology Studies, 6(2), 166-170. https://doi.org/10.32996/jcsts.2024.6.2.18

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Keywords:

Fact Analysis, Enterprise intelligence, Information Analysis, Fortune 1000, MapReduce, Apache Spark, business intelligence, data-driven, Social Network