Business Decision making through Big Data Analytics using Machine Learning Technique

Authors

  • Priyanka Gonnade, Sonali Ridhorkar

Keywords:

Big Data Analytics, Machine Learning, Decision-Making, Predictive Modelling, Data-Driven Strategies, Operational Efficiency, Strategic Decision-Making

Abstract

In the era of digital transformation, businesses are increasingly leveraging big data analytics and machine learning techniques to enhance decision-making processes. This paper explores the integration of these technologies, highlighting their significant impact on strategic and operational decisions. Big data analytics provides a foundation for understanding complex datasets, while machine learning techniques enable predictive modeling, pattern recognition, and automated decision-making. These tools collectively improve accuracy, efficiency, and agility in business operations. The key benefits include enhanced customer insights, optimized supply chain management, improved risk management, and innovative product development. Despite challenges such as data quality, technical expertise, and privacy concerns, the strategic application of big data analytics and machine learning offers substantial opportunities for businesses to gain a competitive edge. This paper underscores the transformative potential of these technologies in driving informed, data-driven decisions and fostering a culture of continuous innovation and adaptability in the business landscape.

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Published

12.06.2024

How to Cite

Priyanka Gonnade. (2024). Business Decision making through Big Data Analytics using Machine Learning Technique. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 3057–3063. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6798

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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