Conformance checking

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Representation of deviations in the process model in LANA Process Mining

Business Process Conformance Checking (short: Conformance Checking ) is one of the three basic process mining techniques. In the technology, the process reconstructed from the event logs is compared with the existing reference model (target model) of the same process. Among other things, it can be determined how closely the target process model corresponds to the actual process. Conformance checking is used, for example, by organizations to check compliance on a procedural level.

Conformance deviations

Tabular representation of deviations in LANA Process Mining

With the conformity checking techniques, a process model is compared with log files or the resulting model for the conformity check. This reveals the similarities and differences between these models. These differences can be represented visually (e.g. displayed on the process model) or textually as lists.

The interpretation of the conformance deviations depends on the purpose of the model. If there are deviations in a descriptive , i.e. descriptive , process model, this model must be adapted to reality, as otherwise it will not describe it correctly.

In the case of a normative , i.e. authoritative process model, the deviations can be interpreted in two ways. On the one hand, the deviation can be interpreted as an undesirable deviation and thus optimization potential. For example, undesirable deviations indicate the need for better process control and adaptation of the real process flow, for example to legal regulations. On the other hand, deviations can be interpreted as desirable . For example, these are alternative work processes, which, however, mean that customers are better served or ad-hoc problems are better solved. An adaptation of the (target) process model results from desirable deviations.

Individual evidence

  1. ↑ Wil van der Aalst: Process mining: discovery, conformance and enhancement of business processes . Springer, Berlin 2011, ISBN 978-3-642-19345-3 , doi : 10.1007 / 978-3-642-19345-3 .
  2. ↑ Gottfried Vossen: The Process Mining Manifesto — An interview with Wil van der Aalst . In: Information Systems . tape 37 , no. 3 , May 2012, ISSN  0306-4379 , p. 288–290 , doi : 10.1016 / j.is.2011.10.006 .
  3. ^ Wil van der Aalst, Arya Adriansyah, Boudewijn van Dongen: Replaying history on process models for conformance checking and performance analysis . In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery . tape 2 , no. 2 , January 30, 2012, ISSN  1942-4787 , p. 182–192 , doi : 10.1002 / dedm.1045 .
  4. ↑ a b Wil MP van der Aalst: Process Mining Data Science in Action . Springer, Berlin 2018, ISBN 978-3-662-57041-8 , doi : 10.1007 / 978-3-662-49851-4 .