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242 9 Operational Support

Fig. 9.1 Refined process mining framework

ing, where it refers to the data that is needed to be able to reproduce an experi-
ment [27]. Business process provenance aims to systematically collect the informa-
tion needed to reconstruct what has actually happened in a process or organization.
When organizations base their decisions on event data, it is essential to make sure
that these describe history well. Moreover, from an auditing point of view it is nec-
essary to ensure that event logs cannot be tampered with. Business process prove-
nance refers to the set of activities needed to ensure that history, as captured in event
logs, “cannot be rewritten or obscured” such that it can serve as a reliable basis for
process improvement and auditing.
Data in event logs are partitioned into “pre mortem” and “post mortem” event
data in the refined process mining framework depicted in Fig. 9.1. “Post mortem”
event data refer to information about cases that have completed, i.e., these data can
be used for process improvement and auditing, but not for influencing the cases