Executive Development Programme in Restaurant Customer Data Analytics

• Introduction to Restaurant Customer Data Analytics: Understanding the importance of data analytics in the restaurant industry, types of customer data, and how to collect and organize data.
• Data Analysis Tools and Techniques: Learning about data analysis software and tools, data cleaning, and techniques for analyzing customer data.
• Customer Segmentation and Profiling: Identifying and understanding different customer segments, creating customer profiles, and using this information to tailor marketing and service strategies.
• Customer Lifetime Value (CLV) Analysis: Understanding the concept of CLV, how to calculate it, and its importance in making business decisions.
• Predictive Analytics for Restaurants: Learning about predictive analytics, how to use it to forecast customer behavior, and how to apply it to restaurant operations.
• Data Visualization and Reporting: Techniques for presenting data in a visual format, creating reports, and communicating insights to stakeholders.
• Data Privacy and Security: Understanding data privacy regulations, best practices for protecting customer data, and how to ensure data security.
• Data-Driven Decision Making: Applying data analytics to decision making, creating a data-driven culture, and overcoming challenges in implementing data analytics in a restaurant business.

Note: This is a sample outline and can be customized based on the specific needs of the Executive Development Programme.