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Extending Dynamics 365 Customer Engagement Apps with Low Code

Extending Dynamics 365 Customer Engagement Apps with Low Code

By : Nicolás Andrés Fernández, Nicolás Fernández
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Extending Dynamics 365 Customer Engagement Apps with Low Code

Extending Dynamics 365 Customer Engagement Apps with Low Code

5 (2)
By: Nicolás Andrés Fernández, Nicolás Fernández

Overview of this book

Extending Dynamics 365 Customer Engagement Apps with Low Code helps you gain a comprehensive, practical understanding of how a no-code/low-code project approach works for Dynamics 365 (D365) Customer Engagement (CE). This book covers the most relevant native capabilities for configuration, along with real-world scenarios to showcase the magic of extending D365 CE apps with Power Platform. The book starts by identifying different scenarios and use cases to extend D365 CE apps with a low-code approach. You’ll learn about the different capabilities of Dataverse and Power Apps used to extend native applications. Next, you'll discover how to leverage Power Apps, both Canvas apps and model-driven apps, and Power Pages, to build apps and portals around D365 CE processes. You’ll also explore Power Automate's capabilities to create or modify business processes, as well as incorporate new processes and automation. As you advance, you’ll also discover how Power Virtual Agents can be implemented in D365 CE apps. The book concludes by teaching you to integrate Power BI natively with customer engagement, thus facilitating the construction of advanced reports and dashboards. By the end of this book, you’ll have gained hands-on expertise in customizing CE apps with Power Platform to deliver more scalable and maintainable solutions.
Table of Contents (21 chapters)
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1
Part 1: Introduction of No-Code/Low-Code for Dynamics 365 Customer Engagement
4
Part 2: Extending Dynamics 365 Customer Engagement Applications
9
Part 3: Building Custom Processes for Dynamics 365 Customer Engagement Applications
13
Part 4: No-Code/Low-Code Bots for Dynamics 365 Customer Engagement
16
Part 5: Working with Advanced Dashboards and Reports with Dynamics 365 Customer Engagement

Summary

In this chapter, we have delved into three common use cases when working with Dynamics 365 Customer Engagement data: data validation, system integration, and data synchronization. For each of these, we identified general considerations that allow us to think about what kind of solution we should propose. We were also able to see that even though the platform offers multiple no-code/low-code options, sometimes we must consider pro-code solutions to ensure the performance and scalability of the solution.

In the next chapter, we will delve into how we can make use of AI Builder to incorporate AI into our processes. We will work with three categories of models: text processing, forms and receipt processing, and predictive models. For each of these, we will go through step-by-step examples of how to start implementing AI models with Dynamics 365 Customer Engagement.

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