Bachelor’s or Master’s Thesis in Data Analytics / Business Intelligence

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Motivation and Problem Statement
Management decisions require an integrated view of operational performance and financial results. 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. As a result, cause-and-effect relationships along central business processes remain opaque, and strategic control impulses can only be derived to a limited extent. The aim of this thesis is therefore to develop an integrated performance reporting concept based on Power BI. The central challenge here is not primarily technical data integration, but rather the conceptual transfer of business processes into a control-relevant reporting logic.

Objectives of the Bachelor’s/Master’s Thesis
The objective of this master’s thesis is the implementation of an integrated Power BI-based performance dashboard that establishes a consolidated management view across the organization. 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.
The resulting dashboard must fulfill two essential requirements:

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.

The final outcome will be a functional and decision-oriented reporting solution that creates transparency across departments and provides a robust analytical foundation for management decisions.