In this paper we present a methodological approach to develop a Statistical Information System (SIS), out of administrative archives of the Public Administrations. Such archives are a rich source of information, but an attempt to use them as sources for statistical analysis reveals errors and incompatibilities that do not permit their usage as a statistical and decision support basis. The proposed methodological approach encompasses building a SIS out of administrative data, such as design of an integration model for different and heterogeneous data sources, improvement of the overall data quality, removal of errors that might impact on the correctness of statistical analysis, design of a data warehouse for statistical analysis, and design of a multidimensional database to develop indicators for decision support. We present a case study, the AMeRIcA Project.
Cesarini, M., Fugini, M., Mezzanzanica, M. (2006). Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems. In ICEIS 2006: PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATIONAL SYSTEMS: DATABASES AND INFORMATION SYSTEMS INTEGRATION (pp.293-296).
Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems
CESARINI, MIRKO;MEZZANZANICA, MARIO
2006
Abstract
In this paper we present a methodological approach to develop a Statistical Information System (SIS), out of administrative archives of the Public Administrations. Such archives are a rich source of information, but an attempt to use them as sources for statistical analysis reveals errors and incompatibilities that do not permit their usage as a statistical and decision support basis. The proposed methodological approach encompasses building a SIS out of administrative data, such as design of an integration model for different and heterogeneous data sources, improvement of the overall data quality, removal of errors that might impact on the correctness of statistical analysis, design of a data warehouse for statistical analysis, and design of a multidimensional database to develop indicators for decision support. We present a case study, the AMeRIcA Project.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.