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            Fig. 10.7 (Color online) Screenshot of Reflect while animating a discovered process model. The
            event log used to discover the process model is replayed to analyze bottlenecks in a municipality.
            There are 21 kinds of cases (e.g., building permits, tree cutting permits, and demolition permits)
            that are identified by different colors. For example, the flow of granted building permits is animated
            using blue tokens. Also statistics such as throughput time are collected, e.g., granted building per-
            mits have a mean throughput time of 46 days

























            Fig. 10.8 Screenshot of Reflect while analyzing the social network of a municipality. The social
            network was discovered using the same event log as in Fig. 10.7. By replaying the event log on
            the social network, it is possible to see the flow of work through the organization and identify
            bottlenecks

            with complex, Spaghetti-like processes. (We further elaborate on this metaphor in
            Sect. 13.1.) Other dimensions like performance can be analyzed through advanced
            visualizations of the mined process models. Disco is currently in private beta, and
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