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Apply goal management to track your individual, parent, and child goals. Analyze the results of your goal management to make better business decisions.
This learning path helps prepare you for Exam MB-210: Microsoft Dynamics 365 Sales Functional Consultant.
Prerequisites:
Define and track your customer service related goals including identifying metrics.
Learning objectives:
In this module, you will:
Prerequisites:
A basic understanding of how to navigate in the Dynamics 365 application. Familiarity with creating and managing cases, Entitlements, and Service Level Agreements is also helpful.
This module is part of these learning paths:
Q1. You have created a Goal for a Sales person that will track the total revenue generated by their opportunities for the Year. Which column would likely be used for tracking the data that is considered In Progress?
Q2. You are creating a goal that will be used to track the total value of Opportunities that are closed by individual sales staff members. Which metric type would you select in the Goal Metric column?
Identify customer service metrics, creating goal metrics, and work with roll-up columns and queries.
Learning objectives:
In this module, you will:
Prerequisites:
A basic understanding of how to navigate the Dynamics 365 application. Familiarity with creating and managing cases, Entitlements, and Service Level Agreements is also helpful.
This module is part of these learning paths:
Q1. Which statement best describes a Goal Metric?
Q2. What is the term used to describe the time period required to create goals?
Q3. You want to be able to create goals that will be used to track the total value of Opportunities that are closed by individual sales staff members. Which metric type would you use?
I hope this Implement goal management in Dynamics 365 Sales and Customer Service Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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