In 2025, eduToolkit will focus on data-driven decision making using cluster analysis to optimize organizational structures. By leveraging tools like KNIME, we aim to move beyond traditional hierarchies toward agile, data-informed human resource management.
The focus is on competence matching and the creation of optimal cross-functional teams. Through unsupervised machine learning (clustering), we can identify hidden synergies between diverse skill sets and micro-credentials within an organization. This allows for the algorithmic formation of teams that are not only balanced in expertise but also optimized for innovation and complex problem-solving.
The goal is to provide a systematic way to bridge the gap between individual “skills intelligence” and collective “operational performance.”
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