Real-Time Big Data Analytics for Cross Sector Decision Intelligence: A Scalable Framework for Transforming Enterprise Data into Strategic Action

Mohanraj P., Chidambaram, Bharath K., V. Karthika, Shanmugapriya D., Kalpesh Rasiklal Rakholia

2025

Abstract

In the time of digital change, companies are being overrun with data, but few can devote the necessary time and resources to turn this into operations! In this work, we propose a scalable big data analytics framework that generates actionable and real-time insights in various industry domains. Combining sophisticated machine learning models and streaming data pipeline, this system performs raw data ingestion to enable real-time, intelligent decision making. Unlike earlier efforts that were either static, focused solely on a narrow industrial sector or both these, this framework utilizes cloud- based analytics, edge computing and intelligent visualization to support the adaptive and cross functional decision intelligence. Findings show greater organizational responsiveness, operational capability, and strategic flexibility by exploiting data to make decisions.

Paper Citation

in Harvard Style

P. M., Chidambaram., K. B., Karthika V., D. S. and Rakholia K. (2025). Real-Time Big Data Analytics for Cross Sector Decision Intelligence: A Scalable Framework for Transforming Enterprise Data into Strategic Action. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 625-631. DOI: 10.5220/0013870400004919

in Bibtex Style

@conference{icrdicct`2525,
author={Mohanraj P. and Chidambaram and Bharath K. and V. Karthika and Shanmugapriya D. and Kalpesh Rakholia},
title={Real-Time Big Data Analytics for Cross Sector Decision Intelligence: A Scalable Framework for Transforming Enterprise Data into Strategic Action},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={625-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013870400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Real-Time Big Data Analytics for Cross Sector Decision Intelligence: A Scalable Framework for Transforming Enterprise Data into Strategic Action
SN - 978-989-758-777-1
AU - P. M.
AU - Chidambaram.
AU - K. B.
AU - Karthika V.
AU - D. S.
AU - Rakholia K.
PY - 2025
SP - 625
EP - 631
DO - 10.5220/0013870400004919
PB - SciTePress