Using Real-Time Data to Improve Customer Quality Experience

Catalog description

This class is designed to help students understand what it takes to improve customer experience using data. Emphasis is placed on the collection and use of real-time data for transforming customer experience. Key topics covered include the customer experience life cycle, data management and types, data collection infrastructure, use of metrics to create insights, using python for data science, creation of machine learning algorithms to predict customer impacting events and using data to support the customer success business model. Finally, the class provides exposure to current industry practices, case studies, a comprehensive final project and industry guest speakers.