Join this free online course to learn how the latest procurement innovations from SAP, such as SAP Ariba and SAP S/4HANA, help customers to achieve speed, agility, and procurement control.
Over the next decade, companies will face more opportunities and disruption than ever before. According to recent studies, the vast majority of procurement professionals believe that in a few years, digital transformation will fundamentally change the way procurement services are delivered. Digital procurement transformation is already helping companies redefine their business models, operating processes, and procurement work—and this trend will accelerate even more as powerful technologies rapidly mature.
This course will cover SAP’s procurement strategy and the latest procurement innovations in the SAP Ariba and SAP S/4HANA solutions. You’ll learn the specifics of different procurement hub scenarios with SAP S/4HANA for central procurement, as well as how SAP Ariba integrates with SAP S/4HANA to enable a tangible step-up in speed, agility, visibility, and control. This course will also include first insights into managing direct spend with SAP Ariba and SAP supply chain solutions when coming, for instance, from an SAP SRM/SAP ERP environment. A summary of best-in-class transformation examples will round off this course.
Note: This course is a nutshell course and a delta update of the “Procurement Transformation with SAP Ariba and SAP S/4HANA” course / repeat course. Feel free to use this toolkit to learn the essentials and to prepare for the course accordingly.
Unit 1: Procurement with SAP Ariba and SAP S/4HANA
Unit 2: Latest Key Innovations in SAP Ariba and SAP S/4HANA
Unit 3: Connecting Multiple Back Ends into One Procurement Hub
Unit 4: SAP Ariba Innovations for Direct Spend
Unit 5: Setting Up SAP Ariba and SAP S/4HANA Connectivity
Unit 6: Best-in-Class Transformation Examples
You can access all graded assignments and earn a Record of Achievement with openSAP, course reactivation option. Learn more or
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Andreas Frank is the head of Global Go-To-Market at SAP Ariba. He has over 19 years of SAP experience in value engineering, portfolio management, and product and solution management.
Andreas has also acted as an instructor for various SAP and Procurement-related trainings.
Lloyd Keays is a pioneering and incubation executive for SAP Business Network. He focuses on future vision development and explaining tech in simple words.
Lloyd has spent the last 20 years building bridges between technology, people, and process simplification. His clear and friendly approach makes it easy to understand and make sense of disruptive innovations. He is now looking into how blockchain affects businesses, especially when it comes to trade.
Lloyd has a Master's degree in 19th century history from Laval University in Canada, is a senior process architect for procurement and business networks, and is skilled in 3D design, video creation, IoT and more. He lives in Rotterdam, Netherlands.
Christine Hofmann is chief product expert in the SAP Procurement Product team. She has over 18 years’ experience in defining SAP's procurement solutions SAP SRM and SAP S/4HANA. She is responsible for the analytics portfolio of SAP S/4HANA Sourcing and Procurement.
Christine also presents the procurement product vision internally and externally to customers and partners, and has contributed to several SAP S/4HANA books.
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Rolf Weiland is VP in SAP Ariba's Center of Excellence and Network Solution Architect where he helps Procurement customers to expand and innovate and to drive growth with the right Procurement solutions.
Harsh Satsangi is a director and network solution architect with the SAP Ariba Center of Excellence team. He has been with SAP for 14 years and has held various roles in R&D, product management, and consulting.
Harsh has a strong focus on end-to-end procurement solution architecture with SAP S/4HANA, SAP Ariba, and SAP Cloud Platform. He is passionate about helping customers transform their procurement landscape with emerging technologies like artificial intelligence (AI) and machine learning (ML).