Automated Complaint Analysis

This course focuses on utilizing **Advanced Data Analytics and Machine Learning (ML)** for **Automated Complaint Analysis**—a critical tool for proactive market conduct supervision and risk mitigation. Participants will learn how to process large volumes of unstructured data (e.g., call transcripts, email text) using Natural Language Processing (**NLP**) to categorize, prioritize, and identify the **root cause** of consumer complaints in real-time. The material emphasizes transforming the complaint function from a reactive cost center into a strategic source of intelligence for product, policy, and compliance improvements.