To ensure high-quality and reliable data for further processing, the CSC data must be cleaned and standardized. This process helps improve data accuracy, consistency, and usability.
Mapping User Journeys: Aggregate data to analyze each customer’s interaction history, from the first support ticket to the most recent one, identifying patterns. Learn more about Creating a customer journey map
Churn prediction feature: Create features like the time since last contact, frequency of tickets, or changes in support issues that could help in churn prediction models. Learn more about Churn prediction analysis