Book Image

Workflow Automation with Microsoft Power Automate - Second Edition

By : Aaron Guilmette
4 (2)
Book Image

Workflow Automation with Microsoft Power Automate - Second Edition

4 (2)
By: Aaron Guilmette

Overview of this book

MS Power Automate is a workflow automation tool built into MS 365 to help businesses automate repetitive tasks or trigger business processes without user intervention. It is a low-code tool that is part of the Microsoft applications framework, the Power Platform. If you are new to Power Automate, this book will give you a comprehensive introduction and a smooth transition from beginner to advanced topics to help you get up to speed with business process automation. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to configure automation workflows for business processes between hundreds of applications, using examples within Microsoft and including third-party apps like Dropbox and Twitter. Once you understand how to use connectors, triggers, and actions to automate business processes, you’ll learn how to manage user input, documents, and approvals, as well as interact with databases. This edition also introduces new Power Automate features such as using robotic process automation (RPA) to automate legacy applications, interacting with the Microsoft Graph API, and working with artificial intelligence models to do sentiment analysis. By the end of this digital transformation book, you’ll have mastered the basics of using Power Automate to replace repetitive tasks with automation technology.
Table of Contents (22 chapters)
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Expanding further

Sentiment analysis is growing to be an increasingly critical part of helping organizations manage high volumes of unstructured data. Large organizations that receive a lot of feedback may desire to quickly decide if responses are positive or negative in order to focus resources on resolving potential product or service issues.

In a customer service and response scenario, it may be important to manage by exception and focus on resolving dissatisfaction. Now that you’ve seen how to configure sentiment analysis for a real-world situation such as processing customer feedback, think about ways that you can add to this flow to improve its usefulness. A few ideas might include:

  • If sentiment analysis is negative, send an email to a customer service manager or make an entry in a contact management database for a follow-up activity.
  • If sentiment analysis is positive, send the customer a promotional invite and ask them to leave a positive review...