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In this work, we analyse and model a real life financial loan application belonging to a sample bank in the Netherlands. The event log is robust in terms of data, containing a total of 262 200 event logs, belonging to 13 087 different credit applications. The goal is to work out a decision model, which represents the underlying tasks that make up the loan application service. To this end we study the impact of incomplete event logs (for instance workers forget to register their tasks). Thedoi:10.1371/journal.pone.0207806 pmid:30596655 pmcid:PMC6312323 fatcat:loqyvaalezez5im3v73q6wibqq