As part of our MigHANA research cooperation and in collaboration with our project partner OOWV, we are developing innovative approaches for a comprehensive KPI system for water utilities. The goal of this master's thesis is to develop an integrated, cross-functional system of Key Performance Indicators (KPIs) that covers various organizational units of a water utility. This system should encompass not only financial KPIs from management control systems but also operational and sustainability KPIs. These different KPIs should be interrelated and described in the form of a directed acyclic graph (DAG) to provide a holistic view of the company's performance.

• KPI Collection and Analysis: Identify and collect relevant KPIs from various domains such as finance, operations, and sustainability.
• Development of a Taxonomy: Create a taxonomy or identify clusters for the collected KPIs.
• Integration and Relationship of KPIs: Develop a system for integrating the KPIs and depicting the relationships between different indicators through a directed acyclic graph.
• Practical Application: Apply the developed concepts and systems to real-world examples from the project partner's practice.

Interest in data analysis and management control systems

Knowledge of data architecture and modeling 

Basic programming skills (e.g., in Python or R) are advantageous

Experience with graph models and algorithms is desirable

Independent, structured, and analytical working style