Transforming Decision-Making with Big Data Analytics: Advanced Approaches to Real-Time Insights, Predictive Modeling, and Scalable Data Integration | [International Journal of Communication Networks and Information Security • 2024]

Author(s):

1. Srinivas Murri: Independent Researcher, USA

2. Manoj Bhoyar: Independent Researcher, USA

3. Guru Prasad Selvarajan: Independent Researcher, USA

4. Manjeet Malaga: Independent Researcher, USA

Abstract:

Huge progress has been achieved in big data decision-making throughout different industries due to real-time insights and data scalability, complicated models. This article focuses on state-of-art solutions can be adopted by organisations when dealing with very large and complex data volumes in an effort to improve instaneneous decision-making accuracy. Real time data streams can also be incorporated to respond to new trends of operations as well as challenges. Prescriptive modeling also use other tools as machine learning and statistical to try to look forward and this is important in order to take preventive measures. Further, solutions are also implemented to facilitate the efficient integration of large volumes of multi-structured data for improved end-to-end business visibility. Based on the findings of the study the enormous benefits of using big data analytics in enhancing the quality of decisions made, the efficiency of operations conducted and the competitive advantage gained with consideration for the difficulties of managing data and its implementation.

Page(s): 506-519

DOI: DOI not available

Published: Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 5, Year: 2024

Keywords:

Big Data , Data Integration , Predictive modeling , Data Analytics , RealTime Insights

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