Abstract
Most process-mining techniques work on “post mortem” event data, i.e., they analyze events that belong to cases that have already completed. Obviously, it is not possible to influence the execution of “post mortem” cases. Moreover, cases that are still in the pipeline cannot be guided on the basis of “post mortem” event data only. Today, however, many data sources are updated in (near) real-time and sufficient computing power is available to analyze events when they occur. Therefore, process mining should not be restricted to off-line analysis and can also be used for online operational support. This chapter broadens the scope of process mining to include online decision support. For example, for a running case the remaining flow time can be predicted and suitable actions can be recommended to minimize costs.
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© 2016 Springer-Verlag Berlin Heidelberg
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van der Aalst, W. (2016). Operational Support. In: Process Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49851-4_10
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DOI: https://doi.org/10.1007/978-3-662-49851-4_10
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Publisher Name: Springer, Berlin, Heidelberg
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