For a company with a wealth of unstructured textual data in their cases, the "Detect Sentiment"

transformation within CRM Analytics Recipes is a crucial tool. This transformation analyzes the

sentiment of the text data—whether it's positive, neutral, or negative—and this insight can be highly

valuable in case prioritization processes. Here's why this transformation is useful:

Insight into Customer Sentiments: By detecting sentiment, the company can prioritize cases based

on the urgency and emotional tone expressed in the text, which might indicate customer

dissatisfaction or urgency.

Automation and Efficiency: Automatically categorizing cases based on sentiment can streamline

workflows and ensure that critical cases are handled promptly.

Enhanced Customer Service: Responding to negative sentiments swiftly can improve customer

satisfaction and potentially mitigate issues before they escalate.