Starbucks dashboard
Budget: ₹1,250 – ₹2,500 INR
Excited to share my latest Starbucks Sales Dashboard built using Power BI, Excel, SQL, and DAX. This interactive dashboard provides valuable business insights into sales performance, product trends, customer behavior, and store profitability. It enables decision-makers to monitor KPIs, identify top-performing products, analyze monthly revenue, and optimize business strategies with real-time visual analytics.
The Starbucks Sales Dashboard is a professional Business Intelligence solution designed to analyze and visualize Starbucks sales data. It transforms raw business data into meaningful insights through interactive charts, KPI cards, filters, and dynamic reports.
The dashboard helps stakeholders understand sales trends, customer purchasing patterns, product performance, regional sales, and revenue growth. It supports strategic decision-making by presenting accurate, easy-to-understand visual reports.
Dashboard KPIs
Total Sales
Total Orders
Total Profit
Average Order Value
Sales Growth %
Monthly Revenue
Top Selling Products
Category-wise Sales
Store-wise Performance
Customer Purchase Trends
Peak Sales Hours
Regional Sales Analysis
The Starbucks Sales Dashboard is a professional Business Intelligence solution designed to analyze and visualize Starbucks sales data. It transforms raw business data into meaningful insights through interactive charts, KPI cards, filters, and dynamic reports.
The dashboard helps stakeholders understand sales trends, customer purchasing patterns, product performance, regional sales, and revenue growth. It supports strategic decision-making by presenting accurate, easy-to-understand visual reports.
Dashboard KPIs
Total Sales
Total Orders
Total Profit
Average Order Value
Sales Growth %
Monthly Revenue
Top Selling Products
Category-wise Sales
Store-wise Performance
Customer Purchase Trends
Peak Sales Hours
Regional Sales Analysis
Related categories:
Excel
SQL
MySQL
Business Intelligence
Data Visualization
Data Analysis
Power BI
Financial Modeling
Data Modeling