In modern automotive groups, reliable real-time reporting is an important basis for decision-making. Our customer commissioned us with the implementation of a high-performance Analytics architecture for the IT environment in the Group's pre-series production. The declared goal: a uniform reporting system based on SAP Business Warehouse on HANA.  

Highly complex source system landscape 

During the BW on HANA implementation at the automotive group, our Xient Solution Architects were primarily confronted with the challenge of consolidating the data from the complex system landscape of the different departments. In addition to SAP modules, the data sources included a wide range of components, from DB2 databases under host systems to classic Excel lists. The interface architecture to be created also had to ensure the transfer to diverse third-party applications.  

At the same time, it was necessary to ensure that the transfer of knowledge between the stakeholders of the group was guaranteed to be clean and error-free. The reporting system we optimized was to be used, among other things, to regulate volume and capacity planning in production as well as order processing and picking.  

Performance improvement in all relevant areas 

Our Xient engineers and experts accompanied the implementation from the initial analysis to the conceptual design of the new system architecture to the conversion to the new SAP BW environment. Of course, we worked closely with the various departments of the group to optimally implement the necessary requirements for internal reporting. This holistic project approach is a core virtue of our work.  

The result of the cooperation between the automobile manufacturer and Xient is ultimately a completely revised reporting system based on the latest SAP technologies. Architecture The architecture we created allows those responsible in the group to make all decisions based on high-performance dashboarding. Instead of cumbersome manually maintained Excel lists, data consolidated and made available in real time now contributes to decision-making.