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284 11 Analyzing “Lasagna Processes”

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Fig. 11.6 The L life-cycle model describing a process mining project consisting of five stages:
plan and justify (Stage 0), extract (Stage 1), create control-flow model and connect event log
(Stage 2), create integrated process model (Stage 3), and operational support (Stage 4)

ipate benefits that may result from the project. There are basically three types of
process mining projects:
• A data-driven (also referred to as “curiosity driven”) process mining project is
powered by the availability of event data. There is no concrete question or goal,
however, some of the stakeholders expect that valuable insights will emerge by
analyzing event data. Such a project has an explorative character.
• A question-driven process mining project aims to answer specific questions, e.g.,
“Why do cases handled by team X take longer than cases handled by team Y?”
or “Why are there more deviations in weekends?”.
• A goal-driven process mining project aspires to improve a process with respect
to particular KPIs, e.g., cost reduction or improved response times.