In an era of cross-company software systems and platform-based information architectures, it is particularly necessary to put the processes and the company's value creation model back at the center of consideration. Artificial intelligence and deep learning methods should be seen as a means to an end, not as a basic requirement. In this training course, fortiss scientist Yannick Landeck will teach you the methods of process analysis to master the challenges of digital transformation.
Contents of the training
- Intro and keynote speech: “Potentials of digital transformation”
- Workshop part 1: “The challenge of digitalization”
- Workshop part 2: “Process analysis table”
- Summary and outlook
Benefits for the participants
- You will learn the methodological knowledge for problem analysis, solution structuring and planning the approach to digitalization.
- You will get to know the application examples of digitalization projects for operational process and information systems from industrial practice.
- We address the digitalization needs of the participating companies.
- You will be qualified through the exemplary implementation of a method for problem analysis and receive an outlook on the methodological toolbox of data-supported process engineering.
Target group
The training is addressed to small and medium-sized companies as well as people with an interest in practical challenges of digitalization. Experience of digitalization hurdles from your own company is an advantage.
More information
Field of competence Platform Engineering
Organizer
