Page 312 -

294 11 Analyzing “Lasagna Processes”

Fig. 11.9 Social network constructed based on handovers of work. Each of the 271 nodes cor-
responds to a civil servant. Two civil servants are connected if one executed an activity causally
following an activity executed by the other civil servant

11.4.3.2 WOZ Process

In Sect. 11.1, we showed some analysis results for a WMO process of a municipality.
To date, we have applied process mining in about a dozen municipalities. Moreover,
we just started a new project (CoSeLoG) involving nine municipalities interested
in cross-organizational process mining, i.e., analyzing differences between similar
processes in different municipalities [24].
Processes in municipalities are typically Lasagna processes. To illustrate this, we
present another example. Figure 11.11 shows a so-called “WOZ process” discov-
ered for another municipality (i.e., different from the one for which we analyzed the
WMO process). We applied the heuristic miner on an event log containing infor-
mation about 745 objections against the so-called WOZ (“Waardering Onroerende
Zaken”) valuation. Dutch municipalities need to estimate the value of houses and
apartments. The WOZ value is used as a basis for determining the real-estate prop-
erty tax. The higher the WOZ value, the more tax the owner needs to pay. Therefore,
Dutch municipalities need to handle many objections (i.e., appeals) of citizens that
assert that the WOZ value is too high. For this municipality we analyzed four pro-