Journal of Advances in Developmental Research

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Challenges in Developing a Real-Time Root Cause Analysis Platform Using Big Data and Machine Learning

Author(s) Sujay Kanungo
Country United States
Abstract The rapid evolution of technology has led to an exponential increase in data generation, making real-time root cause analysis (RCA) a critical necessity for organizations striving for operational excellence. This paper explores the multifaceted challenges encountered in the development of a real-time RCA platform utilizing big data and machine learning techniques. Key obstacles include data integration from diverse sources, ensuring data quality and consistency, and the complexity of algorithm selection for accurate anomaly detection and diagnosis. Furthermore, the paper discusses the limitations of existing machine learning models regarding scalability and adaptability in dynamic environments. The interplay between real-time data processing requirements and the computational demands of advanced analytics is also examined. By identifying and analyzing these challenges, this study aims to provide insights and potential strategies for overcoming the barriers to effective real-time RCA implementation, ultimately contributing to more resilient and responsive organizational frameworks.
Keywords Root Cause Analysis, Machine Learning, Real time RCA.
Field Engineering
Published In Volume 16, Issue 2, July-December 2025
Published On 2025-12-15
Cite This Challenges in Developing a Real-Time Root Cause Analysis Platform Using Big Data and Machine Learning - Sujay Kanungo - IJAIDR Volume 16, Issue 2, July-December 2025. DOI 10.71097/IJAIDR.v16.i2.1658
DOI https://doi.org/10.71097/IJAIDR.v16.i2.1658
Short DOI https://doi.org/hbkqrs
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