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Join this free online course to learn about how enterprise architecture is a key enabler in making the Intelligent Enterprise a success.
This course was retired in August, 2023.
Kurssprache: English
Untertitel (automatisch erzeugt): Deutsch, English, Français, Español
Kursinformationen
This course was retired in August, 2023.
Course Summary
Modern companies are facing increasingly volatile market dynamics and the disruption of business processes and technology, which directly influences the enterprise strategy at both a strategic and an operational level. The Intelligent Enterprise is all about reinventing your company with AI, making it open and agile to master new challenges in a changing environment and creating an adaptable and future-oriented business platform.
Enterprise architecture (EA) supports the transformation journey towards the Intelligent Enterprise by providing concepts, models, and methodologies, which define the fundamental organization of the whole enterprise and its relations with ecosystems, leveraging new technologies and data for business innovations. Likewise, the enterprise architecture management (EAM) activities conducted in an organization to install, maintain, and develop the organization’s enterprise architecture and to consistently support business and IT goals, opportunities, and necessities.
The Intelligent Enterprise is not a ‘one-shot’ approach, and knowledge and experience of enterprise architecture and enterprise architecture management will help you significantly in transforming your company into an Intelligent Enterprise.
In this course, we’ll introduce you to the concept of the Intelligent Enterprise and its architecture – the business platform, tools, and methodologies to manage its complexity and transformation. We’ll discuss the value of the data and architecture of business platforms, how to simplify them and redesign processes around AI, and how to enable people – the most valuable resource in your enterprise. We’ll also show you how to influence leaders using enterprise architecture management.
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Course Characteristics
- Starting from: March 31, 2020, 09:00 UTC. (What does this mean?)
- Duration: The course is open for 4 weeks
- Effort: 3-4 hours in total
- Course assignments: There are two course assignments. The first is available from the first day of the course. The second assignment will be available when week 2 begins. You can take them at any time until the course closes.
- Course closure: April 29, 2020, 09:00 UTC
- Course language: English
- How is an openSAP course structured?
Course Content
Week 1: Introduction
Week 2: Deep Dive
Target Audience
- Enterprise architects
- Business and technology leaders
- Business and technology experts interested in transformation towards the Intelligent Enterprise
Course Requirements
None
Lernmaterial
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IntroductionWeek 2:
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Bewertungen
Der Kurs wurde mit durchschnittlich 4.24 Sternen bei 1226 abgegebenen Stimmen bewertet.
Anforderungen für Leistungsnachweise
- Den Leistungsnachweis erhält, wer in der Summe aller benoteten Aufgaben mindestens 50% der Höchstpunktzahl erreicht hat.
- Die Teilnahmebestätigung erhält, wer auf mindestens 50% der Kursunterlagen zugegriffen hat.
Mehr Informationen finden Sie in den Richtlinien für Leistungsnachweise.
Dieser Kurs wird angeboten von
Robert Winter is Professor of Business & Information Systems Engineering at the University of St. Gallen (HSG) and director of HSG's Institute of Information Management (www.iwi.unisg.ch). His research focuses on design science research methodology, enterprise architecture management, and the governance of very large IT projects/programs.
Robert teaches enterprise architecture management at several universities and is regular keynoter. He has edited a number of textbooks and regularly publishes his research in scientific journals.
Mark Dudgeon is Chief Technology Officer in the Global Business Services organization at IBM Services, Europe. He is a distinguished engineer with cross-industry experience, focusing predominately on SAP architecture. He has worked in the IT industry for almost 30 years.
Mark is recognized globally as a technical leader in large and complex SAP transformational programs and an experienced SAP technical architect. He has a broad range of leadership, technical, and delivery skills, including cloud, mobile, Big Data and analytics, blockchain, and cognitive solutions.
Follow him on his LinkedIn profile
Robert Heidasch is Global SAP Digital & Innovation Lead, Associate Partner in the Global Business Services organization at IBM. He concentrates on new technology, strategy, transformation, and architecture around the intelligent/cognitive enterprise.
Robert has more than 25 years of experience in business and technology, especially in designing and developing innovative solutions for global enterprises. He is a software inventor and author of technical and business articles around SAP.
Robert also hold a post as lecturer in enterprise architecture at the University of Applied Sciences in Karlsruhe.
Stephan Aier is Assistant Professor of Information Management at the University of St. Gallen (HSG) and co-heads the Architectural Coordination Group at HSG's Institute of Information Management (www.iwi.unisg.ch). His research focuses on enterprise-wide perspectives on information systems such as enterprise architecture management, data management and analytics, and the management of digital platforms.
Stephan teaches enterprise architecture management at several universities, is a frequent speaker at academic and industry events, and regularly publishes in academic journals.
Allan Coulter is a technical executive at IBM, working as the Chief Technology Officer for SAP in the Global Business Services organization.
Allan has a background in enterprise architecture, with nearly 30 years of experience in industry and consulting. He has held a number of chief architect positions in IBM’s most complex engagements.
Allan has helped many organizations drive their shift to experience-led, data-driven enterprises, leveraging the transformative value of Big Data in driving intelligent outcomes using AI and machine learning – to cloud adoption – to embrace the power of the next generation of ERP solutions.