Paper Info
Title
Process warehouses in practice: a goal-driven method for business process analysis.
Abstract
Process analysis and improvement, one of the core phases in the business process management life cycle, is reaching the top of the agenda for many enterprises and organizations. An emerging approach to analyzing business processes involves the use of process-oriented data warehouses to collect information about executed processes to enable their detailed analysis and thereby provide bases for possible improvements. However, very little work has been carried out on employing business orientation in the design and utilization of a process warehouse. The approach presented in this study addresses that limitation by proposing a method that relates business goals to the information from the warehouse. To do so, we start by defining a desired goal structure that concerns an existing business process. The obtained goal model is firstly utilized for scoping and designing a corresponding data model for a process warehouse, and further for retrieving the information from the warehouse to examine the fulfillment of the goals of interest. The key benefits of the proposed method are the provision of the relevant and accurate business process information as well as tracing the process-related goals to the process execution data and further to the analysis of the process. As validation of the proposed method, we develop a prototype, and a healthcare process is used as an illustrative example. Also, to demonstrate the method quality, we perform an experiment on the effectiveness of the information access and retrieval. Copyright (C) 2011 John Wiley & Sons, Ltd.
Year
DOI
Venue
2012
10.1002/smr.555
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
Keywords
Field
DocType
business process management,business process monitoring,business process analysis,process warehouse
Artifact-centric business process model,Business process management,Systems engineering,Business process,Computer science,Process modeling,Business process modeling,Business process discovery,Business Process Model and Notation,Process mining,Process management
Journal
Volume
Issue
ISSN
24
SP3
2047-7473
Citations 
PageRank 
References 
0
0.34
17
Authors
2
Name
Order
Citations
PageRank
Khurram Shahzad116525.77
Jelena Zdravkovic237846.98