System: Natural Language Processing Platform, Support Call Pattern Analysis System, Machine Learning Platform
Actor: Sales Team, Customer Service Team, Data Analysts, Data Scientists
Scenario:
The Customer Service Team wants to examine discrete data such as support call patterns and late payments to address concerns early.
The current process of addressing customer issues is reactive, leading to some issues being addressed too late.
Data analysts use support call pattern analysis systems and late payment data to identify patterns and uncover issue areas early.
The Customer Service Team then uses this information to proactively address concerns before they escalate into larger issues.
By examining discrete data, the Customer Service Team can improve customer satisfaction, minimize risk, and reduce costs associated with reactive issue resolution.
Use Case
Use Case Name: Examine Discrete Data such as Support Call Patterns and Late Payments to Address Concerns Early
Primary Actor: Customer Service Team, Data Analysts
Goal: To examine discrete data to identify patterns and address concerns early.
Pre-conditions: Support call pattern analysis system and late payment data are available for analysis.
Post-conditions: Issues are addressed proactively, reducing risks and costs associated with reactive issue resolution.
