Authors:
Meryam Belhiah
;
Mohammed Salim Benqatla
;
Bouchaïb Bounabat
and
Saïd Achchab
Affiliation:
Mohammed V University of Rabat, Morocco
Keyword(s):
Data Quality Assessment and Improvement, Data Accuracy, Cost/Benefit Analysis, Business Process Performance.
Related
Ontology
Subjects/Areas/Topics:
Business Cases and Cost/Benefit Analysis
;
Data Engineering
;
Data Management and Quality
;
Information Quality
Abstract:
This paper presents an approach to clearly identify the opportunities for increased monetary and non-monetary
benefits from improved Data Quality, within an Enterprise Architecture context. The aim is to measure, in a
quantitative manner, how key business processes help to execute an organization’s strategy, and then to
qualify the benefits as well as the complexity of improving data, that are consumed and produced by these
processes. These findings will allow to clearly identify data quality improvement projects, based on the latter’s
benefits to the organization and their costs of implementation. To facilitate the understanding of this approach,
a Java EE Web application is developed and presented here.