Analytical Data Mart for the Monitoring of University Accbkp_reditation Indicators
Abstract:
The CAACES (Consejo de Evaluación, Acbkp_reditación y Aseguramiento de la Calidad de la Educación Superior), develops evaluation processes to accbkp_redit Higher Education Institutions of Ecuador. In order to support the accbkp_reditation process we propose an analytical data mart to a) obtain suitable information for its fast understanding and management, b) avoid the dispersion of the data required for the university accbkp_reditation. The implementation was initially developed with the indicators of students' criterion according to Institutional Evaluation Model of Universities and Polytechnic Schools incorporated by CEAACES and in the future, other indicators can be added by other accbkp_reditation criteria. The project was developed using the Kimball methodology and an open source tool of BI (Business Intelligence), the Pentaho suite. The BI solution allows the efficient monitoring of indicators prior to university accbkp_reditation, reducing the response time and resources in the report generation process.
Año de publicación:
2019
Keywords:
- Business intelligence
- ETL
- DATA MART
- Ralph Kimball methodology
- University Accbkp_reditation
- OLAP cubes
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Análisis de datos
Áreas temáticas:
- Funcionamiento de bibliotecas y archivos
- Geometría
- Educación superior