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Business Decision making using Data Science

Bui, Trung Ninh and Nagendra, Singh Yadav and Vishal, Goar and Pallavi, Singh Yadav and Subrata, Chowdhury and Nguyen, Thi Thu and K., Vijayakumar (2022) Business Decision making using Data Science. In: the IEEE sponsored 2022 Second Business Decision making using Data Science International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES 2022), 15-16, July 2022, the Department of Information Technology, St. Joseph’s Institute of Technology (Autonomous), Chennai, Tamil Nadu, India.

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Abstract

Several organizations started to adopt the strategy to have data scientist professionals to help them identify the true value of the cost vs benefits and since data science is on fire for a quite long time, adopting the same comes in handy for several factors. i.e., investment, net profit, etc. At the same time, the clarity is missing around what data science is and this tends to introduce the concept of unambiguous theory or assumptions. In this research, we are aiming to pin down the fact of what data science is and how it can lead to crucial decision-making using a data-driven approach. We firmly believe that the accurate limitations of data science scope cannot be defined due to its vast possibilities. If the business wants to align themselves using the data science by understanding the true potential, the following needs to be underlined: 1) understand the importance of related concepts using the relationship approach, 2) identify how fundamental principles of data science can be useful for the different business use case, 3) Identify what the data science can offer depending on our requirement. In this research, we offer a decision-making solution for businesses using the underlying data science principles.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications > Electronics and Computer Engineering
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Bùi Trung Ninh
Date Deposited: 20 Sep 2022 15:38
Last Modified: 20 Sep 2022 15:38
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4774

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