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Supporting business process analysis via data warehousing
Author(s) -
Sturm Ar
Publication year - 2012
Publication title -
journal of software: evolution and process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 29
eISSN - 2047-7481
pISSN - 2047-7473
DOI - 10.1002/smr.556
Subject(s) - computer science , artifact centric business process model , business process , process (computing) , business process modeling , business process discovery , data warehouse , business process management , process management , popularity , business rule , business process model and notation , business analysis , process mining , software engineering , data science , database , work in process , business model , operations management , business , psychology , social psychology , marketing , economics , operating system
SUMMARY 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 © 2011 John Wiley & Sons, Ltd.