Leveraging Graph Analytics, Visualization and Path Analysis for Customer Experience Improvement
Offered By: Toronto Machine Learning Series (TMLS) via YouTube
Course Description
Overview
Explore how RBC is utilizing advanced data analytics techniques to enhance customer experience and operational efficiency in this 15-minute conference talk from the Toronto Machine Learning Series. Learn from Senior Data Scientist Brechann McGoey as she discusses the growing need to understand client behavior, identify points of friction, and anticipate future events within the banking industry. Discover how RBC is building tools that leverage graph analytics, visualization, and path analysis to connect millions of data points across various systems and channels. Gain insights into how these innovative approaches are uncovering opportunities to improve customer satisfaction and streamline operations at one of Canada's leading financial institutions.
Syllabus
RBC Presents: Leveraging graph analytics, visualization and path analysis to provide value to RBC
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
Understanding Customer ExperienceKarlstad University via Independent Brand Management: Aligning Business, Brand and Behaviour
University of London International Programmes via Coursera 服務模式的體驗、設計與創新:從痛點到賣點 (Experience, Design, and Innovation of Service Models: from Pain Points to Selling Points)
National Taiwan University via Coursera Reimagine Customer Experience with SAP C/4HANA
SAP Learning Branding and Customer Experience
IE Business School via Coursera