Analysis of Departmental Data

Kaushik, Priyanka and Kumar, V. Santhosh and Sharma, Gaurav and Lakra, Ankita and Sharma, Niyati and B, Swetha (2024) Analysis of Departmental Data. In: 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), Greater Noida, India.

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Abstract

Abstract—In the modern era, data-driven decision-making has
become a cornerstone of organizational success. This study delves into the transformation of raw departmental data into actionable insights that drive strategic and operational excellence. By leveraging advanced analytical techniques, the research identifies patterns, trends, and key performance indicators across various departmental functions. The process involves data cleansing,
visualization, and predictive modeling to extract meaningful
intelligence from complex datasets. The findings demonstrate how structured analysis empowers departments to enhance efficiency,optimize resources, and foster informed decision-making. This work highlights the potential of data analytics in transforming conventional processes, paving the way for innovation and con-tinuous improvement.

Item Type: Conference or Workshop Item (Paper)
Subjects: Master of Business Administration > Finance
Divisions: Engineering > Master of Business Administration
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 01 Aug 2026 13:14
Last Modified: 01 Aug 2026 13:14
URI: https://ir.dsce.ac.in/id/eprint/171

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