Walmart Business Performance Dashboard: A Data-Driven Approach to Retail Analytics

Mugdha. A. Yadav

Title:
Walmart Business Performance Dashboard: A Data-Driven Approach to Retail Analytics

Authors:
Mugdha. A. Yadav

Cite This Article :

Mugdha. A. Yadav "Walmart Business Performance Dashboard: A Data-Driven Approach to Retail Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.620-622, URL: https://www.ijtsrd.com/papers/ijtsrd78604.pdf

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Abstract :
In the retail market, data-driven decision-making is key to maintaining profitability and growth. This project involve creating a Walmart Business Performance Dashboard to offer detailed insights into business technic like sales performance, revenue trends, customer behaviour, inventory management, and regional profitability. Employing data visualization software such as Power BI, Tableau, or Python libraries (Matplotlib, Seaborn) the dashboard reports interactive real-time analytics that assist stakeholders in making educated decision. The dashboard assists in recognizing sales trends, streamlining inventory levels, and predicting demand patterns. Moreover, predictive analytics enable processes by applying techniques foe strategic planning improvement and overall business performance enhancement. Through the use of data analytics and visualization, can mechanized processes, enhance customer satisfaction, and create long-term profitability.

Keywords :
Retail Analytics, Sales Performance, Inventory Management, Customer Insights, Revenue Forecasting, Stock Turnover Ratio.

Publication Details:

Unique Identification Number : IJTSRD78604

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 620-622

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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