Student who has completed this course or acquired equivalent competence:
- is able to describe the stages of the business data life cycle: Data creation, data storage, data processing, data utilization, data deletion
- identifies data management processes, roles and responsibilities (governance)
- recognizes the importance of data quality (evaluation, improvement, verification) and key methods for improving quality
- knows data-related security/security aspects, GDPR
- understands the importance of a company's data driven as a product and data as a product (data product manager perspective)
- is able to identify internal and external data sources as well as data integration methods and interface technologies
- knows the most important technologies and platforms in business data processing and analytics such as cloud services, big data, artificial intelligence methods and analytics software
- is able to evaluate data architecture solutions and the maturity level of data management
- is able to apply the technologies selected for the course implementations in training environments