Data science management means the data-driven restructuring and implementation of corporate processes and new business models. Data science is a must for many companies - the question is not "if?", but "how?".
Business models based on data science technologies are disruptive. They are changing companies, markets and practical applications of information management. Concepts such as predictive intelligence are emerging alongside traditional business intelligence approaches. The IT strategy, which was previously successively derived from the business strategy, is thus becoming a "digital business strategy" and must be transferred into tailor-made projects.
In this certificate course, you will learn how to classify current trends in digitalization and data science in your own business context. You will apply the methods and tools presented for developing new processes and business models as well as for managing data science projects directly to individual issues.
Conceptual framework for information management in the context of data science
Conceptual foundation course
- Characteristics of information assets
- Model understanding of information
- Logistical principle of information management
Task-oriented level model
- Management of the information economy
- Management of information systems
- Infrastructure management
- Management of management tasks
Integrated information management model
- Source
- Make
- Deliver
- Govern