This project analyzes restaurant performance data using Power BI to identify key business insights related to customer ratings, pricing patterns, cuisine popularity, and location-based performance.
The dashboard enables stakeholders to evaluate operational performance, identify high-demand cuisine categories, and support strategic business decisions.
Businesses in the food industry require analytical insights to understand customer preferences, pricing strategies, and geographic performance in order to improve profitability and customer satisfaction.
Power BI
Excel
SQL
• Major cities show higher restaurant concentration indicating strong market demand
• Majority of restaurants fall within the 3.0 – 4.0 rating range
• Certain cuisine categories demonstrate higher customer preference
• Most restaurants operate within affordable pricing segments
• Growth trend indicates increasing market opportunities
• KPI metrics (Total Restaurants, Average Rating, Average Cost) • Location-based restaurant distribution analysis • Rating distribution visualization • Cuisine popularity insights • Price range distribution analysis • Year-wise restaurant growth trend • Interactive filters for dynamic analysis
• Power BI Dashboard Development
• Data Cleaning and Transformation
• KPI Metrics Design
• Business Data Analysis
• Data Visualization
• Analytical Thinking
• Insight Generation
This analysis helps stakeholders identify market opportunities, optimize pricing strategies, and understand customer preferences. The insights support data-driven decision-making for business expansion and performance improvement.