Advancements in data analytics tools: How technology is revolutionizing business decision-making

Chauhan, Shreya (2025) Advancements in data analytics tools: How technology is revolutionizing business decision-making. International Journal of Science and Research Archive, 15 (2). pp. 364-375. ISSN 2582-8185

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Abstract

The rapid advancement of data analytics technologies has ushered in a new era in business decision-making, fundamentally transforming how organizations strategize, operate, and compete. What once were simple descriptive analytics platforms have now evolved into sophisticated ecosystems driven by artificial intelligence (AI), machine learning (ML), cloud computing, and big data architectures. These innovations empower businesses not merely to understand past performance but to accurately predict future trends and prescribe optimal courses of action. This paper explores the profound impact of modern data analytics tools across critical dimensions of business operations, including strategic decision-making, operational efficiency, customer-centric innovation, and risk management. Drawing on recent empirical studies, industry reports, and detailed case analyses from leading firms such as Netflix, Walmart, and Pfizer, this work demonstrates how organizations of all sizes are leveraging data to enhance competitiveness, improve responsiveness, and stimulate continuous innovation. Additionally, the study addresses emerging challenges associated with the widespread adoption of analytics technologies, including data privacy concerns, algorithmic bias, and the ethical ramifications of automated decision-making. Through a comprehensive review of technological trends and critical discourse on governance issues, the paper underscores that while data analytics offers unparalleled advantages, its responsible and thoughtful implementation is crucial for sustainable success.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.15.2.1338
Uncontrolled Keywords: Data Analytics; Business Intelligence; Machine Learning; Big Data; Decision-Making; Artificial Intelligence; Business Transformation; Predictive Analytics; Prescriptive Analytics
Depositing User: Editor IJSRA
Date Deposited: 25 Jul 2025 14:43
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/1808