Digital Innovation: Promote product innovation and data monetization
System: Analytical Processing System, Predictive Modeling Platform, Behavioral Analytics Platform
Actor: Decision Makers, Product Managers, Data Analysts, Marketing Team
Scenario:
Product managers in an organization want to utilize predictive modeling to detect problems and improve product features.
The current product development process lacks insights into potential problems and areas for improvement.
Product managers collaborate with data analysts and use the predictive modeling platform to analyze historical data, identify patterns, and predict potential problems or areas for enhancement.
Product managers then use these predictions to address issues proactively, implement improvements, and deliver better products to customers.
By utilizing predictive modeling, product managers can enhance product features, minimize risks, and improve customer satisfaction.
Use Case
Use Case Name: Utilize Predictive Modeling to Detect Problems and Improve Product Features
Primary Actor: Product Managers, Data Analysts
Goal: To utilize predictive modeling to analyze data, detect problems, and improve product features.
Pre-conditions: Historical data for analysis is available.
Post-conditions: Product features are improved based on insights from predictive modeling, leading to better product performance and customer satisfaction.
