Project Description:
This project aims to develop a Restaurant Analytics Dashboard that provides insights into a restaurant's performance, enabling informed decision-making to improve sales and profitability. The dashboard will utilize key sales influencers and decomposition tree visualizations to delve into the factors driving revenue and margins.
Project Goals:
- Identify Key Sales Influencers: Uncover the variables that significantly impact net sales growth or decline, enabling targeted strategies to enhance sales performance.
- Analyze Net Margin Decomposition: Delve into the composition of net margin, understanding how each menu item and category contributes to overall profitability.
- Gain Actionable Insights: Extract actionable insights from the dashboard to guide operational decisions, optimize menu selection, and enhance overall restaurant performance.
Business Needs:
- Sales Growth and Revenue Optimization: Identify opportunities to boost net sales and drive revenue growth, improving the overall financial health of the restaurant.
- Margin Improvement and Cost Management: Analyze cost structures and menu item profitability to identify areas for cost reduction and margin enhancement.
- Data-Driven Decision-Making: Foster a data-driven approach to restaurant management, making informed decisions based on insights extracted from the dashboard.
- Improved Customer Experience and Catering: Understand customer preferences and menu item popularity to optimize menu offerings and cater to customer tastes.
Data Insights Discovery and Presentation:
- Data Collection: Integrate data from various sources, including POS systems, inventory management, and customer feedback, to gain a comprehensive view of restaurant performance.
- Data Cleaning and Preparation: Cleanse and prepare the raw data to ensure accuracy, consistency, and compatibility for analysis.