Process Model Analysis Task
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A Process Model Analysis Task is an analytics task that analyses an process model.
- Context:
- It can involve Workflow Analysis Reports.
- ...
- See: Website Analytics.
References
2020
- https://kissflow.com/workflow/workflow-analysis-shoots-holes-business-processes/
- QUOTE: ... Workflow Analysis is the process of breaking down the performance of a workflow and examines trends for improvement. By looking at a workflow at a granular task level, business users can tweak processes for optimal efficiency and workplace productivity. Workflow analysis often reveals redundant tasks, bottlenecks, and opportunities for more automation. ...
... There’s no point setting up an automated workflow unless you know the benefits you expect to receive, and how your workflows can be improved. However, if you have hard data and feedback from stakeholders, you can use workflow analysis to find several easy ways to improve on what you already have. ...
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- QUOTE: ... Workflow Analysis is the process of breaking down the performance of a workflow and examines trends for improvement. By looking at a workflow at a granular task level, business users can tweak processes for optimal efficiency and workplace productivity. Workflow analysis often reveals redundant tasks, bottlenecks, and opportunities for more automation. ...
2006
- (Kim & Ellis, 2006) ⇒ Kwang-Hoon Kim, and Clarence A. Ellis. (2006). “Workflow Reduction for Reachable-path Rediscovery in Workflow Mining.” In: Foundations and Novel Approaches in Data Mining, pp. 289-310 . Springer, Berlin, Heidelberg,
- ABSTRACT: This paper3 newly defines a workflow reduction mechanism that formally and automatically reduces an original workflow process to a minimal set of activities, which is called minimal-workflow-model in this paper. It also describes about the implications of the minimal-workflow model on workflow mining that is a newly emerging research issue for rediscovering and reengineering workflow models from workflow logs containing workflow enactment and audit information gathered being executed on workflow engine. In principle, the minimal-workflow model is reduced from the original workflow process by analyzing dependencies among its activities. Its main purpose is to minimize discrepancies between the modeled workflow process and the enacted workflow process as it is actually being executed. That is, we can get a complete set of activity firing sequences (all reachable-paths from the start to the end activity on a workflow process) on build time. Besides, we can discover from workflow logs that which path out of all reachable paths a workcase (instance of workflow process) has actually followed through on runtime. These are very important information gain acquiring the runtime statistical significance and knowledge for redesigning and reengineering the workflow process. The minimal-workflow model presented in this paper is used to be a decision tree induction technique for mining and discovering a reachable-path of workcase from workflow logs. In a consequence, workflow mining methodologies and systems are rapidly growing and coping with a wide diversity of domains in terms of their applications and working environments. So, the literature needs various, advanced, and specialized workflow mining techniques and architectures that are used for finally feed-backing their analysis results to the redesign and reengineering phase of the existingworkflow and business
2004
- (Aalst et al., 2004) ⇒ Wil van der Aalst, Ton Weijters, and Laura Maruster. (2004). “Workflow Mining: Discovering Process Models from Event Logs.” IEEE transactions on knowledge and data engineering 16, no. 9
- ABSTRACT: Contemporary workflow management systems are driven by explicit process models, i.e., a completely specified workflow design is required in order to enact a given workflow process. Creating a workflow design is a complicated time-consuming process and, typically, there are discrepancies between the actual workflow processes and the processes as perceived by the management. Therefore, we have developed techniques for discovering workflow models. The starting point for such techniques is a so-called "workflow log" containing information about the workflow process as it is actually being executed. We present a new algorithm to extract a process model from such a log and represent it in terms of a Petri net. However, we also demonstrate that it is not possible to discover arbitrary workflow processes. We explore a class of workflow processes that can be discovered. We show that the /spl alpha/-algorithm can successfully mine any workflow represented by a so-called SWF-net.