Fatores Influenciadores na Intenção de Uso de Sistemas de Business Intelligence & Analytics

Business Intelligence and Analytics (BI and Analytics) systems become a competitive advantage in an environment where data volume increases exponentially. The theoretical applicability was confirmed and the model validated where Performance Expectation was the most influential factor and Effort Expe...

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Published inRISTI : Revista Ibérica de Sistemas e Tecnologias de Informação no. E41; pp. 1 - 16
Main Authors Silva, André Luiz da Cunha, Gonçalves, Antônio Augusto, Bouzada, Marco Aurélio, Gomes, Marcus Brauer, de Paiva, Isa Maria Alves, de Gois, Sandra Regina FS Morgado
Format Journal Article
LanguageSpanish
Published Lousada Associação Ibérica de Sistemas e Tecnologias de Informacao 01.02.2021
Subjects
Analytics
Business competition
Business intelligence
Data warehouses
Information management
Intelligence (information)
Mathematical analysis
Performance prediction
Systems analysis
United States > US
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Summary:Business Intelligence and Analytics (BI and Analytics) systems become a competitive advantage in an environment where data volume increases exponentially. The theoretical applicability was confirmed and the model validated where Performance Expectation was the most influential factor and Effort Expectation was not statistically significant, indicating that BI and Analytics users minimize the effort as long as performance is improved. Keywords: Intention to Use, Performance, Business Intelligence, Predictive Analysis, UTAUT. 1. Referenciái Teórico 2.1.Sistemas de Business Intelligence Uma arquitetura de BI contempla uma série de conceitos e etapas como a Extraçao, Transformaçao e Carga (ETL - do ingles extration, transform and load), processo que coleta dados relevantes dos bancos de dados transacionais, transforma-os por processos de limpeza, tratamento e classificaçao e os carrega no data warehouse destino (Turban & Volonino, 2013; Vercellis, 2011).
ISSN:1646-9895