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Visualizing Retail Trends and Performance Using Tableau: A Study of the SuperStoreOrders Dataset

Authors:

Punna Roshni1, Ravirala Lathasri2, Allutla Manasa3, Afsha Sharefa4, Dr Diana Moses5

UG Scholar Department of AI&DS, Methodist College of Engineering and Technology, Hyderabad, India1234

Professor, Department of CSE,Methodist College of Engineering and Technology, Hyderabad, India5

Abstract: This study analyzes the SuperStoreOrders dataset using Tableau to uncover key business insights through data visualization. The dataset contains detailed records including product categories, customer details, sales amounts, profits, discounts, and shipping modes. The primary goal is to examine how categorical fields like Product Category and Region influence numerical values such as Sales and Profit. By applying visual analytics, the study identifies top-performing products, evaluates regional sales trends, and highlights the effect of shipping and discounts on profitability. Tableau’s dashboard capabilities enable the transformation of complex transactional data into meaningful, interactive visuals that support decision-making. The study emphasizes the value of data-driven strategies in improving inventory planning, customer targeting, and operational efficiency. The results suggest that visualizing structured retail data can significantly enhance business performance and market understanding. The research demonstrates the growing role of data visualization in modern business intelligence and its broader impact on organizational success.

Key Words: Data Visualization, Sales Analysis, Tableau, Retail dataset, Business Intelligence.