Abstract
Insurance industry undergoes major regulatory changes regarding risk management like Solvency II which require managing data quality. This paper reports an experience feedback about the development of an enterprise architecture and data quality framework suitable for Insurance Industry and COTS environments. The framework, inspired by TOGAF 9.1, is tailored to provide systemic views of enterprise organization, systems and data and to develop joint governance for enterprise architecture and data quality. The paper describes development approach and framework components including metamodel, repository, data quality, tools and governance. it may stand as a proposal for a TOGAF data quality extension.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
KPMG. Survey - Economic Capital Modeling in the Insurance Industry (August 2012), http://www.kpmg.com/Ca/en/IssuesAndInsights/ArticlesPublications/Documents/economic-capital-modeling-july-2012.pdf
Opengroup - TOGAF 9.1 (2010), http://pubs.opengroup.org/architecture/togaf9-doc/arch/
ISO/IEC 11179, http://metadata-standards.org/
ISACA - COBIT 4.1 (2007), http://www.isaca.org/
Thorn, S.: When was your las enterprise architecture maturity assessment – Open group Blog (March 2012), http://blog.opengroup.org/2012/03/02/when-was-your-last-enterprise-architecture-maturity-assessment/
Wang, R.Y., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 4 (1996)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Capirossi, J., Rabier, P. (2013). An Enterprise Architecture and Data Quality Framework. In: Benghozi, PJ., Krob, D., Rowe, F. (eds) Digital Enterprise Design and Management 2013. Advances in Intelligent Systems and Computing, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37317-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-37317-6_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37316-9
Online ISBN: 978-3-642-37317-6
eBook Packages: EngineeringEngineering (R0)