Robotic process automation (RPA) helps reduce human error by automating business process-related manual tasks, increasing speed and lowering the total cost of ownership by saving you time and effort. Adding intelligence, which is what SAP Intelligent Robotic Process Automation does, means automated decision making, which leads to additional savings through the reduction of analytical effort.
The course will provide a solution overview, followed by practical SAP S/4HANA-based examples of how the bots can be used to take over manual, repetitive task within SAP S/4HANA processes. We’ll also show you how you can extend and modify bots accordingly to SAP Best Practices. The course will close with an outlook on our Best Practices roadmap.
After completing this course, you’ll know how SAP Intelligent RPA technology works, how SAP Intelligent RPA can help you within SAP S/4HANA, and how you can adjust the bots according to your business needs.
Here is what some participants are saying about the course:
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"The course lays a good foundation for RPA implementation." read the original post
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Unit 1: Introduction to Business Process Automation in SAP S/4HANA
Unit 2: Overview and Recap of Core AI Technology for Intelligent RPA
Unit 3: Process Automation in Finance
Unit 4: Process Automation in Manufacturing and Supply Chain
Unit 5: Extension and Modification to SAP Best Practices
Unit 6: Outlook, Road Maps, and Key Takeaways
SAP S/4HANA system or business process knowledge
Stefan Maurer started his career as an SAP Expert in 2008. He has a strong technical focus and has managed a number of different projects.
He currently supports the SAP S/4HANA Product Management organization.
Daniel De Araujo
Daniel de Araujo is a product manager in SAP S/4HANA, currently focusing on SAP Intelligent Robotic Process Automation.
Daniel has been working as a project manager and in the Product Management area in different customer-facing roles for the past 6 years.
After having completed his doctorate in Computer Science, Philipp Scholl joined SAP in 2012 to work on research and development topics.
He currently leads a team in SAP S/4HANA Financial Accounting that is working on automation to support and speed up the execution of a financial close.
This course was rated with 4.24 stars in average from 2102 votes.
Find out more in the certificate guidelines.
Yan Liang is a senior director of Product Management, SAP Intelligent Robotic Process Automation for SAP S/4HANA Cloud. She started her career at SAP in software development and now leads SAP Intelligent Robotic Process Automation for SAP S/4HANA Cloud.
Yan drives the product strategy for automation best practices with both a technical and a business mindset, helping customers accelerate their enterprise digital transformation journey.
Oren Shatil is a vice president in the SAP S/4HANA Product Management & Co-Innovation team in Palo Alto.
Oren heads product management for SAP S/4HANA Cloud technology (artificial intelligence in SAP S/4HANA Cloud, mobile, UX, SAP CoPilot, migration, analytics, and data management).
Gerhard Welker joined SAP in 1997 and worked for many years as a software developer in SAP Product Lifecycle Management and SAP Business Warehouse Integrated Planning. Prior to this, he worked in the physical research and high-tech industry.
Gerhard is currently a member of the SAP S/4HANA Product Success and Customer Co-Innovation team, focusing on manufacturing, supply chain, and asset management.
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After working in research and education, Ulrich Hauke joined SAP in 1997. He has held various positions as a product manager, project manager, and senior development manager. Ulrich has extensive knowledge of Financials, CRM, and ERP. Today he is a vice president in Product Management for SAP S/4HANA for Finance. He holds a degree in software and hardware engineering and a degree in industrial engineering.
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Amitha Kamath started her career with SAP as a product expert in the SAP Data Migration and Analytics domain for SAP S/4HANA in 2016.
Amitha is currently working as a product manager for SAP S/4HANA, focusing on SAP Intelligent Robotic Process Automation.