Paper Info
Title
Supporting business process analysis via data warehousing.
Abstract
Today, business processes serve as the backbone of organizations. As a result, IT frameworks for managing business processes are gaining in popularity. The classical life cycle implemented in these frameworks consists of four stages: process specification, process implementation, process execution and monitoring, and process analysis. The relationships between the stages are usually loosely defined, and there is a need for means to synchronize these stages, in light of the frequent changes in and the need to maintain the entire business process life cycle. In this paper, we propose a method for constructing data warehouse schemata from business process specifications to facilitate the off-line analysis of the business process execution. We define the relationships between the business process specification stage and the analysis stages, with the aim to facilitate and to identify potential improvements by querying the business process performance. Copyright (C) 2011 John Wiley & Sons, Ltd.
Year
DOI
Venue
2012
10.1002/smr.556
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
Keywords
Field
DocType
modeling languages,business process,data warehousing,BPMN
Artifact-centric business process model,Data mining,Business process management,Systems engineering,Business process,Computer science,Business process modeling,Business process discovery,Business Process Model and Notation,Business rule,Process mining,Process management
Journal
Volume
Issue
ISSN
24
SP3
2047-7473
Citations 
PageRank 
References 
0
0.34
12
Authors
1
Name
Order
Citations
PageRank
Arnon Sturm141044.76