Data structure in logistics, analysis and application of logistical information systems. 

  • Application software in logistics 
  • Typical data types and structure in logistics (XML, EDI, Product Code standards, etc.) 
  • Conception of structures for data analysis, e.g., Business Intelligence systems 
  • Data transformation between systems and for reporting purposes (Extract Transform Load, Data supply chains) 
  • Hands-on application of data analysis using state-of-the-art analytics software (e.g., Microsoft Power BI, Tableau) 
  • Process modeling fundamentals with BPMN and methods for process optimization