Data Science and Applications




data science, big data, machine learning, artificial intelligence analytics, healthcare


This paper investigates the significance of data science as an indispensable instrument for decision-making across multiple domains. The study examines the history, concepts, methods, and applications of data science, as well as its impact on numerous industries, such as artificial intelligence, manufacturing, fintech, government, Astro-informatics, e-commerce, education, and biotechnology. ERP (Enterprise Resource Planning) software was first developed by SAP in the 1960s, with modern ERP systems emerging in the 1990s, according to the research. The paper highlights the significance of data science in enhancing the functionality of enterprise resource planning (ERP) systems, with AI-based solutions such as those offered by MahaaAi and other firms automating human tasks, chat-based ERP applications, and virtual assistant assistants support to avoid human efforts. The conclusion of the study emphasizes the significant benefits of data science in the ERP industry, including self-service analytics, predictions, and prescriptive analysis.


Received: 9 March 2023 | Revised: 5 May 2023 | Accepted: 4 July 2023


Conflicts of Interest:

The authors declare that they have no conflicts of interest to this work.




How to Cite

Chinthamu, N., & Karukuri, M. (2023). Data Science and Applications. Journal of Data Science and Intelligent Systems, 1(2), 83–91.