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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pereira, A., Bruno Paula Cardoso & Laureano, Raul M. S. (2018). Business intelligence: Performance and sustainability measures in an ETL process. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI).
Exportar Referência (IEEE) 
A. M. Pereira et al.,  "Business intelligence: Performance and sustainability measures in an ETL process", in 2018 13th Iberian Conf. on Information Systems and Technologies (CISTI), Cáceres, Spain, 2018
Exportar BibTeX 
@misc{pereira2018_1732234644112,
	author = "Pereira, A. and Bruno Paula Cardoso and Laureano, Raul M. S.",
	title = "Business intelligence: Performance and sustainability measures in an ETL process",
	year = "2018",
	howpublished = "Digital",
	url = "http://cisti.eu/index.php?lang=pt"
}
Exportar RIS 
TY  - CPAPER
TI  - Business intelligence: Performance and sustainability measures in an ETL process
T2  - 2018 13th Iberian Conference on Information Systems and Technologies (CISTI)
AU  - Pereira, A.
AU  - Bruno Paula Cardoso
AU  - Laureano, Raul M. S.
PY  - 2018
CY  - Cáceres, Spain
UR  - http://cisti.eu/index.php?lang=pt
AB  - One of the critical factors for the success of any Business Intelligence (BI) solution is the performance of the extraction, transformation and loading process (Extract, Transform and Load — ETL). In reality, this phase is vital to ensure the timeliness, adaptability and quality of the information available to end users. However, despite the recognized importance attributed to the optimization of ETL, it is rare to find Information Technology (IT) teams that develop metrics and indicators that allow the factual monitoring of their performance. In line with the saying “the shoemaker's son always goes barefoot”, those responsible for the development of ETL processes often base their optimization exclusively on previous experiences and professional sensitivity. In this context, the objective of this article is to study the concept of BI for BI, analyze its added value in the optimization of ETL processes and indicate possible monitoring indicators.
ER  -