Summary
Organizations can more effectively implement sales, marketing, and customer nurturing strategies when they have a complete understanding of who their customers are or what they're likely to do. Tools such as AI and machine learning can help organizations make informed predictions based on historical trends and then use the enriched data to better implement activities.
This module discussed how Customer Insights - Data can assist organizations by examining the different prediction options that are available. Additionally, this module described:
- The process of setting up and configuring the subscription churn prediction model.
- The process of setting up and configuring the transaction churn prediction model.
- How you can add custom machine learning models that you create in Microsoft Azure into Customer Insights - Data.
Your next steps are to learn how to use the different Customer Insights - Data features for different scenarios, such as using segments and customer profile data in other applications. It can also be helpful to learn how to extend Customer Insights - Data with the different APIs that are available.