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  • MB - 260T00 : Microsoft Customer Insights - Data Specialty

The "Microsoft Customer Insights - Data Specialty" course is designed for data specialists working with Dynamics 365 Customer Insights. It covers how to implement solutions that provide insights into customer profiles and track engagement activities to enhance customer experiences and retention. Students will learn to unify customer data using prebuilt connectors, predict customer intent with advanced segmentation, and manage customer data effectively. The course begins with importing and transforming customer data and concludes with integrating the customer data platform with Power Platform and Dynamics 365 applications.

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MB - 260T00 : Microsoft Customer Insights - Data Specialty Training

Curriculum

Gain in-demand skills with MB-260T00: Microsoft Customer Insights – Data Specialty Training. Learn to unify, analyze, and act on customer data effectively.

Ratings

( 4.7 Ratings )

Live Online Classes starting on 01 January, 1970

MB - 260T00 : Microsoft Customer Insights - Data Specialty

The MB-260T00: Microsoft Customer Insights - Data Specialty course is designed to equip learners with the expertise to implement and manage the Microsoft Customer Insights solution. This course offers a comprehensive dive into the capabilities of Dynamics 365 Customer Insights, a customer data platform that enables organizations to unify and understand their customer data to create rich, personalized experiences.

Through various modules, participants learn to design solutions, ingest and unify data to create customer profiles, work with AI predictions, configure measures and segments, manage external connections, and administer the platform. The course elucidates use cases, data ingestion, data transformation, AI model configuration, segment creation, and data enrichment.

By completing the course, learners will be adept at leveraging Dynamics 365 Customer Insights to gain a 360-degree view of customers, which is essential for making informed business decisions and enhancing customer engagement. The hands-on labs provided ensure that participants not only understand the theoretical aspects but also gain practical experience in working with the platform, thus preparing them for real-world applications and the MB-260 certification exam.

 

Audience Profile:

Candidates for this certification should be familiar with Dynamics 365 Customer Insights - Data and have experience with one or more additional Dynamics 365 apps. They should also have hands-on experience with Power Query, Microsoft Dataverse, the Common Data Model, and the Microsoft Power Platform. Knowledge of privacy, compliance, consent, security, responsible AI, and data retention policies is also important.

 

Prerequisites:

  • None

 

Course Outline:

Module 1: Get started with Dynamics 365 Customer Insights - Data

  • Explore Customer Data Platform and learn why it matters to organizations.

  • Get started working with Dynamics 365 Customer Insights - Data, including accessing the application and navigating to the different capabilities.

  • Learn about the Customer Insights - Data capability and how to get started working with it.

Module 2: Ingest data into Customer Insights - Data

  • Ingest data using Power Query.

  • Connect to a Common Data Model.

  • Connect to a Microsoft Dataverse.

  • Work with data sets.

  • Learn about data refreshes.

  • Export data.

Module 3: Create a unified customer profile in Dynamics 365 Customer Insights - Data

  • Learn how to create a Customer Insights - Data instance.

  • Learn how to ingest data.

  • Learn about data unification.

Module 4: Work with Dynamics 365 Customer Insights - Data

  • Configure searching and filtering indexes.

  • Define relationships and activities.

  • Work with measures.

  • Use Customer Insights - Data.

Module 5: Enrich data and predictions with Customer Insights - Data

  • Discover the enrichment and prediction options that are available in Customer Insights - Data.

  • Configure brand and interest functions.

  • Enrich data with partner services.

  • Set up and configure a customer churn prediction model.

  • Add custom machine-learning models.

(4.7 Ratings)

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