Cloud-Based Predictive Analytics Framework using Machine Learning for Intelligent Business Operations

Dr. M. Vigenesh; Dr. M. Vigenesh

doi:10.15662/ijetemr.2025.1005005

Cloud-Based Predictive Analytics Framework using Machine Learning for Intelligent Business Operations

Dr. M. Vigenesh

Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India

Abstract

The rapid growth of digital technologies, cloud computing, and data-driven business models has transformed the way organizations make operational and strategic decisions. Traditional business intelligence systems primarily depend on historical information and descriptive reporting, limiting their ability to anticipate future events and respond proactively to changing market conditions. This essay proposes a cloud-based predictive analytics framework that integrates machine learning techniques to support intelligent business operations. The proposed framework enables organizations to collect, integrate, process, analyze, and visualize large volumes of structured and unstructured data through scalable cloud infrastructure. Machine learning algorithms can identify hidden patterns, forecast demand, predict customer behavior, detect operational anomalies, and support resource optimization. The framework incorporates data acquisition, cloud-based storage, preprocessing, feature engineering, model development, evaluation, deployment, monitoring, and decision-support components. A research methodology combining quantitative data analysis, experimental machine learning, and comparative model evaluation is proposed to assess the framework's effectiveness. Performance can be measured using predictive accuracy, precision, recall, F1-score, mean absolute error, computational efficiency, scalability, and business-oriented indicators. The proposed approach emphasizes security, data governance, model interpretability, and continuous learning. By combining cloud scalability with predictive intelligence, the framework can help organizations move from reactive decision-making toward proactive and adaptive business operations

Article Information

Journal	International Journal of Emerging Trends in Engineering and Management Research
Volume (Issue)	Vol. 10 No. 5 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)
DOI	https://doi.org/10.15662/ijetemr.2025.1005005
Pages	18672-18681
Published	October 15, 2025
Copyright	All rights reserved
Open Access	This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite	Dr. M. Vigenesh (%2025). Cloud-Based Predictive Analytics Framework using Machine Learning for Intelligent Business Operations. International Journal of Emerging Trends in Engineering and Management Research , Vol. 10 No. 5 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 18672-18681. https://doi.org/10.15662/ijetemr.2025.1005005

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