International Journal of Computational and Electronic Aspects in Engineering
Volume 7 · Issue 3 · July 2026 · pp. 124-128
Special Issue of National Conference on Emerging Innovative Trends in Computer Applications
Research Article · Peer Reviewed
Received: June 10, 2026 · Accepted: July 20, 2026 · Published: 31 July 2026
DOI: 10.26706/ijceae.7.4.20260717
Open Access · CC BY 4.0

A Study on the Role of Data Analytics in Business Decision Making

Dr. Madhura Naralkar1, Arya S. Zode2, Trupti G. Watkar3*, Sampada C. Bhise4
1,2,3,4 MCA, Suryodaya College of Engineering and Technology, Nagpur, India.

*Corresponding author: truptiwatkar69@gmail.com
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Abstract

In the modern business environment, organizations create large amounts of data from various sources such as customer transactions, social media platforms, and business systems. Effective business decisions rely heavily on proper data management and analysis. Data analytics helps organizations convert raw data into valuable information that informs business decisions. This research paper explores the use of data analytics in business decision-making, explaining the meaning of data analytics, its classifications, and its ability to improve performance, manage risks, and gain a competitive advantage. The paper also covers the uses of data analytics in marketing, finance, human resource management, and business operations. The benefits and challenges of data analytics are also discussed. The results show that data analytics is responsible for improved decision-making accuracy, efficiency, and overall business growth. This study also includes a case study of Amazon to demonstrate the practical application of data analytics in business decision making. The case study highlights how data analytics is used for customer recommendation, inventory management, and pricing strategies. It shows how real-world organizations use data analytics to improve efficiency and business performance. The conclusion argues that organizations that use data analytics are better placed to make informed decisions and succeed in a competitive market.

Keywords

Data Analytics Business Decision Making Business Intelligence

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