Power BI Dashboard: Retail Sales Analysis for Loss Prevention

Power BI Dashboard: Retail Sales Analysis for Loss PreventionPower BI Dashboard: Retail Sales Analysis for Loss Prevention

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Anu Rawal

• Mar 27

Designed a Power BI dashboard to analyze retail sales performance and uncover hidden losses. Performed data cleaning and analysis to identify trends, highlight top loss-making products, and evaluate the impact of discounts on profitability. Delivered actionable insights to support better pricing strategies and business decisions.

Tools: Power BI, DAX, Python, Excel

Data Analysis Data Visualization powerbi Microsoft Power BI

Sushmita Yadav

• Mar 27

Built an interactive Retail Performance Dashboard in Power BI to analyze sales, profit, customer behavior, and regional performance. The report includes four pages: Executive Overview, Product Performance, Customer Insights, and Regional Analysis. It features KPIs, trend analysis, category comparisons, top/bottom products, customer segmentation, and geographic insights. Interactive slicers allow users to explore data by year, category, segment, and region, helping businesses make data-driven decisions and identify growth opportunities.

Data Analysis Microsoft Power BI Microsoft Excel SQL

Omm Prakash sahoo

• Mar 27

Developed an interactive sales performance dashboard for a fictional online fashion boutique experiencing fluctuating revenue. I collected and cleaned transactional data, identified key trends in customer purchasing behavior, and visualized critical metrics such as average order value, conversion rates, and popular product categories. The dashboard provides actionable insights for inventory management and targeted marketing campaigns.

Data Visualization Business Analysis Data Analysis Google Sheets Microsoft Excel Tableau

Istiak Ahmed Khan

• Mar 25

eBay Sales Analysis Dashboard in Microsoft Excel :

E-commerce platforms generate large volumes of transactional data, making it difficult to track performance across products, sellers, and regions. Without a centralized dashboard, identifying top-performing categories, understanding customer behavior, and monitoring sales trends becomes challenging.

Key Metrics

Total Revenue: $24.28M

Total Units Sold: 50,338

Average Rating: 4.04

These KPIs provide a quick snapshot of overall business performance and customer satisfaction.

Business Impact:

Identifies top-performing products and categories

Enhances seller performance evaluation

Improves market targeting and regional strategy

Supports data-driven pricing and inventory decisions

Tracks customer satisfaction for quality improvement

dashboad Data Analysis Data Science Data Visualization Microsoft Excel Microsoft Power BI SQL

Geethasree Naguboina

pro

• Mar 28

Breaking down revenue by both product category and seller name in the same view is a smart design choice — it lets you spot whether strong category performance is driven by one dominant seller or spread across multiple. The country-level revenue map adds a regional layer that...