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Authors: Meryam Belhiah ; Mohammed Salim Benqatla ; Bouchaïb Bounabat and Saïd Achchab

Affiliation: Mohammed V University of Rabat, Morocco

ISBN: 978-989-758-103-8

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.

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Paper citation in several formats:
Belhiah, M.; Benqatla, M.; Bounabat, B. and Achchab, S. (2015). Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 189-194. DOI: 10.5220/0005557001890194

@conference{data15,
author={Meryam Belhiah. and Mohammed Salim Benqatla. and Bouchaïb Bounabat. and Saïd Achchab.},
title={Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={189-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005557001890194},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects
SN - 978-989-758-103-8
AU - Belhiah, M.
AU - Benqatla, M.
AU - Bounabat, B.
AU - Achchab, S.
PY - 2015
SP - 189
EP - 194
DO - 10.5220/0005557001890194

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