Overview
Customer Data Platform specialists implement solutions that provide insight into customer profiles and that track engagement activities to help improve customer experiences and increase customer retention.
In this Microsoft Customer Data Platform Specialty course, students will learn about the Dynamics 365 Customer Insights solution, including how to unify customer data with prebuilt connectors, predict customer intent with rich segmentation, and maintain control of customer data.
This course begins with importing and transforming your customer data and culminates with extending your customer data platform solution into the Power Platform and Dynamics 365 applications.
Skills Covered
- Dynamics 365 Customer Insights solution
- Unify customer data with prebuilt connectors
- Predict customer intent with rich segmentation
- Maintain control of customer data
Who Should Attend
Candidates should be familiar with Dynamics 365 Customer Insights and have firsthand experience with one or more additional Dynamics 365 apps, Power Query, Microsoft Dataverse, Common Data Model, and Microsoft Power Platform.
They should also have working knowledge of practices related to privacy, compliance, consent, security, responsible AI, and data retention policy.
Course Curriculum
Course Modules
Exam & Certification
Microsoft Certified: Customer Data Platform Specialty
If your specialty is implementing solutions that provide insight into customer profiles and that track engagement activities to help improve customer experiences and increase customer retention, this certification could validate your skills and help open career doors.
As a candidate for this certification, you should have firsthand experience with Dynamics 365 Customer Insights, Power Query, Microsoft Dataverse, Common Data Model, Microsoft Power Platform and one or more additional Dynamics 365 apps. In addition, you need direct experience with practices related to privacy, compliance, consent, security, responsible AI, and data retention policy.
You also need experience with processes related to KPIs, data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement. You should have a general understanding of Azure Machine Learning, Azure Synapse Analytics, and Azure Data Factory.
