Advanced knowledge of data analysis and -modelling (Power B, DAX, visualization best practices) In practice, however, the reporting landscape is often fragmented: data is available in different systems but is evaluated in a function-specific and isolated manner without a company-wide, consistent link between operational key figures and financial results. The central challenge here is not primarily technical data integration, but rather the conceptual transfer of business processes into a control-relevant reporting logic. The thesis includes the identification and integration of relevant data sources, the development of a structured and scalable data model, and the definition of clear KPI calculation logic aligned with business objectives. It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
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