Efficient process management with process mining & RPA
Methods, technologies and their implementation
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Machine Learning Engineer
Basics of process management
- Success factors and phases of process management.
- Information in processes.
- Methods for visualizing, analyzing and evaluating processes: Process mapping, process analysis and process design.
Innovative technologies
- Process Mining - detailed insights into your business processes.
- Effects of the Internet of Things, chatbots and big data analysis.
- Identify optimization potential using process mining.
Process optimization through robotic process automation (RPA)
- Practical application RPA: The first own (software) robot.
- Use of machine learning for an intelligent robot.
Change management
- Create acceptance, minimize resistance.
- Facing fears and uncertainties.
Your digital add-on: In addition to the training, you’ll receive free access afterward to a guide on how to use AI as your personal learning transfer companion or coach to successfully apply what you’ve learned to your everyday work
- You will learn how to systematically identify, analyze and document processes.
- Through concrete practical examples, you will gain detailed insights into your company processes using process mining and discover the potential it offers for your process landscape.
- You recognize how you can identify processes in your company that can be automated.
- You will gain an overview of the possibilities and limitations of using robotic process automation and develop your first own software robot.
- You will learn how to deal with the changes brought about by digitalization and how to support your employees through this change.
Trainer input, best practices, exchange, development of your own software robot, case studies in the leading process mining software.
Note:
During the training you will work on practical example tasks for which you must have a "Microsoft Office 365" license on your laptop. Please ensure that you are available before starting the training , otherwise full participation is not guaranteed.
Process employees, process managers, process consultants, process designers. Specialists and managers who want to learn about the opportunities and risks of digitalization for their internal processes and gain an overview of current technologies for process optimization.
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