Quality assurance in the BI environment using the example of CeWe Color AG & Co OHG

The master's thesis aims to clarify the following questions from a scientific and practical perspective:

• How can the quality of business intelligence systems be proven or improved? For this purpose, metrics, methods
• evaluated and adapted if necessary!
• How can the acceptance of business intelligence software and its use be increased? Is proof of quality sufficient?
• Are there convention manuals (with specifications on naming conventions, data model architecture, programming techniques, sizing, response times, etc.) for business intelligence?
• response times etc.) for business intelligence?
• Are there sustainable and consistent (from source to report) authorisation concepts for BI?
• Are there documentation specifications for reporting requirements, concepts, realisation documentation, tests or system operation?
• What does an associated quality strategy for BI look like?
• Is there really a defined "carer" for all subject areas (especially at the interfaces between the systems)?
• What can a consistently regulated monitoring of the processes look like and what does it look like at the practice partner?
• How does the topic of quality in the BI environment relate to BI governance or performance management?

Prof. Dr.-Ing. Jorge Marx Gómez