MB-260T00: Microsoft Customer Insights - Data Specialty Course Overview

To ensure you can successfully undertake training in the MB-260T00: Microsoft Customer Insights - Data Specialty course, the following are the minimum required prerequisites:

• Basic understanding of customer data platforms and their role in customer relationship management.
• Familiarity with core business processes in sales, marketing, and customer service domains.
• Working knowledge of Microsoft Dynamics 365 and its components, particularly in relation to data management and analysis.
• Experience using Microsoft Power Platform, specifically Power Query for data transformation and cleansing.
• Fundamental knowledge of data ingestion, including connecting to various data sources and importing data.
• Basic comprehension of data mapping, matching, and merging to create unified customer profiles.
• An introduction to artificial intelligence (AI) and machine learning (ML) concepts, with an understanding of how they can be applied in a business context.
• Proficiency in using Microsoft Office tools, especially Excel, for data-related tasks.
• Ability to navigate and administer cloud-based solutions with Microsoft Azure.

These prerequisites are designed to provide a solid foundation for learning and applying the skills taught in the MB-260T00 course. If you are new to some of the topics mentioned above, we recommend exploring introductory courses or resources to familiarize yourself with these concepts before enrolling in the Microsoft Customer Insights - Data Specialty course.

Target Audience for MB-260T00: Microsoft Customer Insights - Data Specialty

The MB-260T00 course focuses on mastering Microsoft Customer Insights for data-driven decision-making in customer relations.

• Data Analysts
• Customer Relationship Managers
• Marketing Professionals
• Business Intelligence Specialists
• IT Professionals involved in CRM solutions
• Dynamics 365 Administrators
• Sales Analysts
• Customer Insights Managers
• CRM Consultants
• Data Scientists focused on Customer Analytics
• Marketing Technologists
• Digital Transformation Specialists

Learning Objectives - What you will Learn in this MB-260T00: Microsoft Customer Insights - Data Specialty?

Introduction to MB-260T00: Microsoft Customer Insights - Data Specialty Course Learning Outcomes

Gain deep insights into customer data through the MB-260T00 course, learning to integrate, analyze, and apply AI to craft enriched customer profiles and predictive insights within Dynamics 365 Customer Insights.

Learning Objectives and Outcomes

• Understand the core concepts of Dynamics 365 Customer Insights and identify use cases where Customer Insights can provide significant value.
• Learn to navigate and administer the Dynamics 365 Customer Insights environment, including user permissions and data platform introduction.
• Master the process of ingesting data into Customer Insights from various sources, using Power Query for data transformation, cleansing, and setting up incremental refreshes.
• Develop skills to create unified customer profiles by implementing data mapping, matching, merging, and configuring search and filter indexes.
• Gain proficiency in utilizing Dynamics 365 Customer Insights for exploring Audience insights, defining relationships, working with measures, and creating segments.
• Learn to configure and apply AI prediction models, impute missing data values, and implement machine learning models for enhanced customer analytics.
• Create, manage, and interpret measures and segments, and discover how to leverage suggested segments and segment insights for targeted marketing strategies.
• Understand how to enrich data and predictions with Audience insights, apply machine learning models, and perform practical exercises such as Subscription Churn Modeling.
• Acquire the ability to manage external connections with the Customer Data Platform, export data, and integrate Customer Insights with Microsoft Power Platform and Dynamics 365 applications.
• Learn to administer Dynamics 365 Customer Insights environments effectively, including creating and configuring environments and managing system refreshes.