Authors:
Shazia Sadiq
1
;
Maria Orlowska
1
and
Wasim Sadiq
2
Affiliations:
1
School of Information Technology and Electrical Engineering, The University of Queensland, Australia
;
2
SAP Research Centre, Australia
Keyword(s):
Business Process Management, Enterprise Application Integration, Data Quality, Master Data Management.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Organisational Issues on Systems Integration
Abstract:
Success of large projects may be compromised due to lack of governance and control of data quality. The criticality of this problem has increased manifold in the current business environment heavily dependent on external data, where such data may pollute enterprise databases. At the same time, it is well recognized that an organization’s business processes provide the backbone for business operations through constituent enterprise applications and services. As such business process management systems are often the first point of contact for dirty data. It is on the basis of this role that we propose that BPM technologies can and should be viewed as a vehicle for data quality enforcement. In this paper, we target a specific data quality problem, namely data mismatch. We propose to address this problem by explicitly inducting requisite data quality protocols in to the business process management system.