How Databricks and Qlik Use Real-Time “Signals” to Improve Customer Satisfaction

Are you listening to your customers' key signals? Your customers are sending you a veritable blizzard of feedback about your product and service offerings as they interact with your support and success organizations. With the power of artificial intelligence (AI), natural language processing (NLP), and sentiment analysis, you can extract signals such as frustration, confusion, impatience, appreciation, and more from interactions already captured in your CRM system.

Detecting and correctly interpreting these critical signals early helps you to avoid costly customer escalations and churn. In addition, these signals help you to proactively identify patterns of customer behavior, as well as friction points and gaps in your service delivery processes. In this panel discussion, you will hear from two data-driven customer support leaders on how they leveraged SupportLogic to proactively detect signals, improve CSAT, and deliver accelerated business outcomes.