Название: Power Automate Desktop Succinctly Автор: Ed Freitas Издательство: Syncfusion Год: 2025 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
An introduction to Power Automate Desktop and its uses. Power Automate Desktop is a robotic process automation (RPA) tool developed by Microsoft to alleviate the burden of repetitive computer tasks on business users. It provides a user-friendly, drag-and-drop interface that lets users design automation workflows without extensive programming knowledge. Ed Freitas will show you how to automate tedious, repetitive desktop processes using the tool's essential features in Power Automate Desktop Succinctly. Automate desktop-based tasks to increase efficiency, reduce costs, and improve accuracy in your business processes.
Power Automate Desktop specifically focuses on automating repetitive tasks on a user's desktop environment. These tasks may involve interacting with desktop applications, websites, files, and other user interface elements. Power Automate Desktop provides a user-friendly, drag-and-drop interface that lets users design automation workflows without extensive programming knowledge. It seamlessly integrates with the Microsoft Power Platform, enabling users to leverage other Power Platform services, such as Power BI and Power Apps, for comprehensive automation and data analysis. It offers a broad range of connectors to interact with various applications and services, both Microsoft and third-party, facilitating integration and automation across diverse systems.
Power Automate Desktop is crucial for automating routine and time-consuming tasks. By automating these tasks, organizations can significantly increase operational efficiency and reduce errors associated with manual processes. RPA tools like Power Automate Desktop contribute to cost reduction by automating tasks requiring human intervention. This is especially beneficial for repetitive tasks that do not require complex decision-making. Contents:
Introduction Getting Started Working with Files Automated Data Entry PDF Data Extraction Appendix
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