Restaurant Order and Delivery Analytics Capstone Project with Power BI
Group Category: Capstone Project
|Product Category: BI Reporting & Analytics
|Sub Category: Power BI
About this Product
Explore delivery operations, menu performance, and customer sentiment using real-world Power BI dashboards.
Business Overview:
Restaurant Order & Delivery Analytics with Power BI helps you turn raw food delivery data into interactive dashboards and business insights. Designed for aspiring BI professionals and analysts, this hands-on capstone simulates real-world restaurant-tech operations. You’ll work with orders, menus, reviews, deliveries, and restaurant data to model, analyze, and visualize key metrics across six dashboard themes. It’s ideal for building a strong portfolio or practicing dashboarding for customer experience and operational insights.
Product Highlights:
- Multi-page Power BI dashboard with KPIs, filters, and visuals
- Datasets include orders, menu items, reviews, deliveries, and restaurants
- Dashboard themes: Executive Summary, Revenue Trends, Menu Analytics, Reviews, Delivery, Restaurant Performance
- Practice DAX, Power Query, relationships, and storytelling with real-world scenarios
- Suitable for BI learners, certification candidates, and analytics professionals
Learning Outcomes:
By completing this project, you will:
- Build a complete Power BI dashboard from raw CSVs
- Model data using relationships and star schema best practices
- Create DAX measures for KPIs, time trends, and delivery analysis
- Use slicers, filters, bookmarks, and Power Query for transformation
- Analyze revenue, item performance, customer feedback, and delivery efficiency
Resources
Description:
This file logs detailed delivery data, providing a timeline and status of each delivery.
- Tracks pickup times, estimated delivery times, delivery status, and partner IDs
- Supports delivery time analysis, partner efficiency tracking, and delay detection
- Enables operational KPIs such as average delivery time and success rate
- Crucial for understanding fulfillment reliability and last-mile performance
- Links to orders and addresses to complete the logistics journey
Description:
This file captures the master order record for every food transaction placed on the platform.
- Logs each order with customer ID, restaurant ID, total price, and payment status
- Tracks order lifecycle via timestamps and status fields (pending, completed, cancelled)
- Supports revenue tracking, customer purchase behavior, and order trend analysis
- Enables segmentation by restaurant, payment status, and order volume
- Core dataset for connecting user demand to restaurant supply
Description:
This file provides item-level granularity for each order, detailing every menu item selected.
- Includes item ID, order ID, quantity, and unit price for all line items
- Allows calculation of average basket size, item popularity, and sales volume
- Essential for menu performance analytics and item-level trend analysis
- Connects to menu metadata for cross-analysis of availability and pricing
- Enables deeper insight into customer preferences and upsell opportunities
Description:
This dataset catalogs all menu items offered by restaurants on the platform.
- Contains menu item names, descriptions, prices, and availability status
- Links each item to a specific restaurant for performance comparison
- Supports price sensitivity, availability trend, and menu optimization analyses
- Key input for top-sellers tracking and category-wise sales breakdown
- Foundational for building a product catalog for BI drilldowns
Description:
This file contains metadata for each restaurant listed on the platform.
- Includes restaurant names, addresses, ratings, activity status, and phone numbers
- Supports segmentation of restaurants by rating, activeness, and location
- Enables partner-level performance dashboards and customer satisfaction analysis
- Core for identifying top-performing vs underperforming partners
- Connects to orders, items, and reviews for a 360° view of restaurant impact
Description:
This dataset captures customer feedback at the item level, based on past orders.
- Includes review text, rating scores (1–5), menu item ID, and customer ID
- Supports sentiment tracking, item satisfaction scoring, and review volume trends
- Enables text-based keyword analysis and theme extraction (optional with NLP)
- Useful for reputation management, product improvement, and satisfaction metrics
- Complements order and item data to reflect customer experience holistically
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