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We're here to help you find it### Introduction to Microsoft Dynamics 365 Finance and Operations with Data migration
This 8-hour course provides an in-depth introduction to Microsoft Dynamics 365 Finance and Operations, focusing on its core capabilities and Data migration. Participants will learn to create reports, integrate finance and operations apps, and navigate these tools through hands-on labs, including Excel integration.
Additionally, the course covers the fundamentals of Dynamics 365 Supply Chain Management, exploring warehouse, inventory, and Manufacturing strategies. Labs include practical exercises to create products, purchase orders, counting journals, and production orders.
Learners will also master Data management, working with templates, Exporting/importing data, and Copying configuration data between legal entities. This course equips you with the essential skills to manage Finance and Operations data proficiently.
### Learning objectives:
- Navigate and utilize Dynamics 365 finance and operations apps
- Generate and integrate detailed reports
- Understand Supply Chain Management fundamentals
- Manage data effectively within Dynamics 365
Boost your expertise and practical application in Microsoft Dynamics 365 with this comprehensive course!
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USD
View Fees Breakdown
| Course Fee | 600 |
|
Total Fees |
600 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
The "Introduction to Microsoft Dynamics 365 Finance and Operations with Data Migration" course by Koenig Solutions is ideal for professionals seeking expertise in Dynamics 365's core finance, operations, and data management functionalities.
Introduction to the Course:
The "Introduction to Microsoft Dynamics 365 Finance and Operations with Data Migration" course offers a comprehensive overview of Dynamics 365 core capabilities and data management, focusing on finance, operations, supply chain management, and data integration techniques.
Learning Objectives and Outcomes:
