Sales Insights of a Consumer Goods Company Using Power BI Tool

This project aims to develop a user-friendly web platform for visualizing sales insights for a consumer goods company. The platform enables users to upload or input sales data via a simple front-end interface, while a robust backend processes the data to generate insights. The results are presented through a custom-built website featuring dynamic and interactive visualizations, including dashboards. The primary objective is to provide an intuitive and efficient user experience, ensuring that users can easily interact with the platform without technical expertise. Real-time or near real-time data analysis and visualization are achieved through optimized backend queries, while predictive analytics assist in forecasting future sales trends to support data-driven decision-making. This project bridges the gap between advanced analytics and ease of use, delivering actionable insights for better strategic planning.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-21
DOI
https://doi.org/10.71097/ijsat.v16.i1.1431
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Sales Insights of a Consumer Goods Company Using Power BI Tool

T. Sanjana, R Annie Karunya -, S Atchaya -, R Mohanaprithvi -
International Journal on Science and Technology
Big Data and Business Intelligence
article

Sales Insights of a Consumer Goods Company Using Power BI Tool

T. Sanjana, R Annie Karunya -, S Atchaya -, R Mohanaprithvi -
article en

Abstract

This project aims to develop a user-friendly web platform for visualizing sales insights for a consumer goods company. The platform enables users to upload or input sales data via a simple front-end interface, while a robust backend processes the data to generate insights. The results are presented through a custom-built website featuring dynamic and interactive visualizations, including dashboards. The primary objective is to provide an intuitive and efficient user experience, ensuring that users can easily interact with the platform without technical expertise. Real-time or near real-time data analysis and visualization are achieved through optimized backend queries, while predictive analytics assist in forecasting future sales trends to support data-driven decision-making. This project bridges the gap between advanced analytics and ease of use, delivering actionable insights for better strategic planning.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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