Home / Volume 8, Issue 2 / Performance Analysis Using PowerBI Open access · CC BY-NC 4.0
Research Paper Volume 8 Issue 2 1746 - 1754 April 5, 2025

Performance Analysis Using PowerBI

Lead author · Corresponding
Haripriya H.
Student at Department of Management Studies,. Vel Tech Rangarajan Dr. Sagunthala R&D, Institute of Science and Technology, Avadi, Chennai, India
Co-author
Dr K.R. Sowmya
Professor at Department of Management Studies,. Vel Tech Rangarajan Dr. Sagunthala R&D, Institute of Science and Technology, Avadi, Chennai, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.119264
Abstract

In the dynamic and competitive tea retailing environment, data-driven decision-making is the must for businesses to be able to succeed. The objective of this research work is to analyze the purchase data related to Chai Waale, a leading tea retailer from India, by using one of the most powerful analytics tools in business, called Power BI. The interactive dashboards and reports of Power BI were used to analyze customers' purchase patterns, how items are performing, and how item descriptions influence purchase decisions of customers. Moreover, the research identifies focused marketing opportunities in customer segments to help Chai Waale better enhance customer satisfaction, optimize its inventory, and strategize growth. By converting raw data into actionable insights, Chai Waale will be able to gain an understanding of customer preferences and operational efficiency, hence enhancing its market position. The power of the data visualization technique in Power BI is a valuable tool used by Chai Waale to make decisions on time to create resilience and growth for its business.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 2, Page 1746 - 1754
DOI: https://doij.org/10.10000/IJLMH.119264
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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