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298                                      11 Analyzing “Lasagna Processes”

            Table 11.1 Resource-activity matrix showing the number of times each user performed a par-
            ticular activity: a 1 = “Domain: heus1”, a 2 = “OZ02 Voorbereiden”, a 3 = “OZ04 Incompleet”,
            a 4 = “OZ06 Stop vordering”, a 5 = “OZ08 Beoordelen”, a 6 = “OZ09 Wacht Beoord”, a 7 = “OZ10
            Horen”, a 8 = “OZ12 Hertaxeren”, a 9 = “OZ15 Zelf uitspraak”, a 10 = “OZ16 Uitspraak”,
            a 11 = “OZ18 Uitspr. wacht”, a 12 = “OZ20 Administatie”, a 13 = “OZ24 Start vordering”. The
            names of users have been anonymized for privacy reasons
            User   a 1  a 2  a 3  a 4  a 5  a 6  a 7  a 8  a 9  a 10  a 11  a 12  a 13

            User 1   0    0  51    0    0  0   0    0    0    0  0     0     0
            User 2   1    2   0    0    2  0   0    0    0   38  0    69     0
            User 3   0    9   0    0    0  0   0    0    0    0  0     0     0
            User 4   2    0   0    0    0  0   0    0    0    0  0     0     0
            User 5  117   0   4    0    3  0   0    0    0    1  0    20     6
            User 6  172   6  14    0    7  3   0    0    1    2  0    48    53
            User 7   1   41   8   14  275  8   8  865   55  180  0   128     5
            User 8   2  868   7    6  105  0   0   79  266  441  0   844     3
            User 9  90    0   2    0    1  2   0    0    1    2  0    27    28
            User 10  0    0   0  899    0  0   0    0    0    0  0     0  1019
            User 11  336  1   3    1    4  2   0    0    0    1  0    18    23
            User 12  1  645  13   21  419  3   0    3  217  281  1   334     9
            User 13  0    1   0    0    0  0   0    0    0    0  0     0     0
            User 14  0    0   0    0    0  0   0    0    0    1  0     0     0
            User 15  0    0   0    0    0  0   0    2    2    0  0     2     0
            User 16  1    3   3    2    1  0   0    1    2    3  1     0     0
            User 17  0    4   0    0    0  0   0    0    0    0  0     0     0
            User 18  9    0   0    0    0  0   0    0    0    0  0     0     0
            User 19  13   1   0    0    1  0   0    0    0    0  0     4     0
            User 20  0    0   0   21    0  0   0    0    0    0  0     0   258


            The application of conformance checking on the processes of this municipality is
            discussed in more detail in [80]. For example, there it is shown that, despite the
            presence of a WFM system, processes still deviate from the normative models. The
            municipality was using eiStream WFM system (formerly known as Eastman Soft-
            ware and today named Global 360), therefore, we did not expect any deviations.
            However, as discussed in [80], process mining could reveal misconfigurations of the
            WFM system. In [83], it is shown that, based on the event logs of this municipality,
            it is possible to discover simulation models covering all perspectives (control-flow,
            data dependencies, performance characteristics, and organizational characteristics).
            In Sect. 8.6, we showed how these perspectives can be merged into a single CPN
            model that can be simulated by CPN Tools. Although we did not conduct short-
            term simulations for this municipality, the validation of the models described in
            [83] shows that accurate simulations are possible for the selected process. Similarly,
            we showed in [113] that accurate time predictions are possible for the WOZ process
            of this municipality. In [113], various annotated transition systems are constructed
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