Robotic Process Automation (RPA) workshops.
Overview
Robotic Process Automation (RPA) is an emerging technology that enables the automation of business processes and manual repetitive tasks. This course focuses on maximizing the value of RPA in workforce optimization and achieving transformational results.
This instructor-led, live training (online or onsite) is aimed at leaders, managers, and process owners who wish to adopt and implement RPA to drive their organization towards effective digital transformation.
By the end of this training, participants will be able to:
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- Understand the core concepts, key benefits, and risks of RPA.
- Gain insights on digital transformation strategies and how to implement them successfully.
- Adopt RPA to enable end-to-end process automation in their organization.
- Identify opportunities to solve business problems and accelerate growth.
- Learn how to integrate analytics automation with RPA for faster business outcomes.
Format of the Course
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- Interactive lecture and discussion.
- Some hands-on exercises in a live-lab environment.
Course Customization Options
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- To request a customized training for this course, please contact us to arrange.
![RPA001](https://otsglobal.org/wp-content/uploads/2023/12/RPA001.jpg)
Requirements
- An understanding of organizational management
Audience
- Leaders
- Managers
- Process owners
Course Outlines
Introduction
- What is RPA?
- Key benefits and risks of RPA
- RPA in finance, insurance, medicine, R&D, and IT
Digital Transformation Strategy
- 3 key pillars: transformation, technology, and talent
- Convergence of data, process, and people
- Delivering successful outcomes
- Calculating the ROI of RPA
Emerging Tools for RPA
- UiPath
- Automation Anywhere
- Blue Prism
- NICE
Analytics Automation and RPA
- Analytics Process Automation (APA)
- APA platform (Alteryx)
- Automation building blocks
Solving Business Problems with RPA
- Use cases and examples
- RPA vs API integration
- Success stories in finance
RPA Change Management Best Practices
Industry Trends and Future of RPA
Summary and Next Steps