How Algorithms and Data Make Services and Processes Better
A workshop for non-mathematicians
Algorithms are central elements of the digital economy. They create value from masses of data, make decisions more secure and relieve the burden of routine activities. Developing algorithms has so far been the domain of mathematicians. Much can actually be derived and understood from everyday phenomena. The workshop enables non-mathematicians to acquire a basic understanding of algorithms and their use in the company without confusing formulas.
Content
Participants will learn the basics of digital business and the digitisation of value creation through data, analysis and algorithms. Together they will work out the prototype of a digital, algorithm-based process that could be used in the company.
Topics:
- Basics of digital economy
- Data, analytics and algorithms as core elements of digital enterprises
- Characteristics of algorithms
- A tool for planning digital solutions: H-P-S matrix, function matrix and others
- Non-machine and machine learning in digital processes
- Creation of a digital, algorithm-based pattern process
Objectives
Participants will develop a common understanding of algorithms, data and the possibilities of digitizing business processes with them.
Target group
Teams and employees who are involved in the design of digital services and processes.
Methods and duration
Participants are involved in the development of an exemplary digital solution based on data and algorithms from the very beginning. This not only makes the content easier to understand, but also makes it practically tangible.
Applied methods are:
- Pulse lectures
- Case studies
- Process simulation
- Work in small groups with examples
- Working with sample software
- Reflection and discussion
- Transfer to practice
- Detailed seminar documents
Duration: 1 day
Prerequisites for participation
none
Workshop facilitator
Uwe Weinreich
Expert for strategy, innovation and digitisation
Multiple digital entrepreneur
Founder of Coobeya.net
Book author