Applications of Data Science and Analytics in Modern Industries

Dr. Sonali Gholve; Mr. Rohan Rahul Tambe

doi:10.59828/ijsrmst.v4i9.366

Authors

Dr. Sonali Gholve Assistant Professor, Department of Computer Science, Sarhad College of Arts, Commerce and Science, Savitribai Phule Pune University, Maharashtra Author
Mr. Rohan Rahul Tambe Students, Department of Computer Science and Application, Sarhad College of Arts, Commerce and Science, Savitribai Phule Pune University, Maharashtra Author

DOI:

https://doi.org/10.59828/ijsrmst.v4i9.366

Abstract

This paper explores the applications of Data Science and Analytics in modern industries, highlighting their role in decision-making, process optimization, and predictive modeling. We present an overview of methodologies such as machine learning, big data processing, and visualization, followed by case studies across healthcare, finance, and retail. Results demonstrate the transformative impact of data-driven decision making, while also addressing challenges such as data privacy and ethical considerations. The study concludes with future prospects of analytics in AI-driven systems.

Additionally, the study highlights measurable impacts such as cost reduction in manufacturing, improved patient outcomes in healthcare, fraud minimization in finance, and enhanced supply chain resilience in retail. The integration of generative AI, automation, and real-time data streaming is anticipated to further accelerate industrial innovation. Emerging domains like smart cities, personalized education, and climate analytics are also positioned to benefit significantly from advanced data science approaches.

Keywords: Data Science, Analytics, Machine Learning, Big Data, Predictive Modeling, Visualization