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Due to economic developments, libraries must use their budgets efficiently and in line with demand. In addition, budget negotiations in libraries are becoming more and more important. The goal of this master thesis was to develop a proof-of-concept of a data-driven support system for budget planning and resource allocation for the library of the Max Planck Institute for Empirical Aesthetics. For this purpose, data from different library areas were analyzed and evaluated. The data-driven support system displays key performance indicators such as budget, expenditures, circulation, collection development, and reading room usage in a dashboard. This allows the library to plan its budget and allocate funds more efficiently and in line with its needs as well as conduct budget negotiations with confidence.

Konzeption und Entwicklung eines datengetriebenen Unterstützungssystems für Etatplanung und Mittelallokation einer hybriden Spezialbibliothek