Data to insights: Innovations in big data analytics for business intelligence applications

Authors

  • Aparna R Assistant Professor, Data Science, M.O.P. Vaishnav College for Women, India
  • Anusha B Davay Student, Data Science, M.O.P. Vaishnav College for Women, India
  • Monika G Student, Data Science, M.O.P. Vaishnav College for Women, India

Keywords:

Bigdata, Business Intelligence, Data Science, Data Analytics, Real time analytics

Abstract

The rapid expansion of data in the information era presents new challenges and opportunities for decision-makers aiming to leverage data for strategic insights. Big data encompasses high volume, high-velocity, and high-variety datasets that exceed the capabilities of traditional data processing tools. This paper examines advanced analytics methods and tools that transform vast datasets into actionable insights for Business Intelligence (BI). We explore the evolution of big data analytics, from Business Intelligence and Analytics 1.0, focusing on traditional data extraction, to Business Intelligence and Analytics 3.0, which incorporates real-time and predictive analytics. This study provides a comparative analysis of cutting-edge analytics tools and technologies, such as in-memory and grid computing, that enable fast, scalable processing essential for today’s Business Intelligence applications. Additionally, the paper addresses critical issues in data privacy and the ethical implications of big data use. Findings highlight emerging trends in Business Intelligence research, offering insights into future opportunities and challenges that lie at the intersection of big data and Business Intelligence for contemporary business organizations.

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Published

2025-03-12

How to Cite

Aparna, R., Davay, A. B., & Monika, G. (2025). Data to insights: Innovations in big data analytics for business intelligence applications. International Journal of Economic Perspectives, 19(S1), 136–145. Retrieved from http://ijeponline.org/index.php/journal/article/view/922

Issue

Contemporary Global Perspectives in Management Environment and Technology (CGPMET-2025)

Section

Conference Papers
Copyright & Licensing

Copyright (c) 2025 Aparna R, Anusha B Davay, Monika G

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