Quão experimentais e estratégicas são as aplicações de Business Intelligence (BI) e Data Mining?

Rodrigo Fontes Cruz; Methanias Colaço Júnior; Victor Menezes Gois

doi:10.5585/riae.v21i1.17689

Autores

Rodrigo Fontes Cruz Universidade Federal de Sergipe http://orcid.org/0000-0001-6783-9263
Methanias Colaço Júnior Universidade Federal de Sergipe http://orcid.org/0000-0002-4811-1477
Victor Menezes Gois Universidade Federal de Sergipe http://orcid.org/0000-0003-0268-9529

DOI:

https://doi.org/10.5585/riae.v21i1.17689

Palavras-chave:

Alinhamento estratégico, Business Intelligence, Data Mining, Mineração de dados, Data science, Ciência de dados.

Resumo

Objetivo do Trabalho: Identificar e caracterizar as metodologias utilizadas para o desenvolvimento experimental de aplicações inteligentes alinhadas ao planejamento estratégico.

Metodologia: Um mapeamento sistemático foi realizado, para caracterizar a pesquisa na área, considerando os últimos dez anos.

Originalidade: Não foram encontrados trabalhos científicos com o mesmo objeto de pesquisa deste artigo, de identificar e caracterizar as metodologias para o desenvolvimento experimental de aplicações inteligentes alinhadas ao planejamento estratégico, o que aumenta a importância dos resultados aqui apresentados.

Principais Resultados: Como resultados, não foram encontrados trabalhos que apresentassem alguma abordagem completa para disciplinar o alinhamento estratégico e a experimentação, prevendo atendimento claro aos objetivos estratégicos e uma fase experimental na validação dos resultados. No entanto, alguns ensaios de partes dessas características puderam ser mapeados, como, por exemplo, a experimentação, encontrada em 28,57% dos trabalhos. Entre os países, a China, os Estados Unidos e o Brasil lideraram o ranking de publicações sobre o tema. Quanto ao meio de publicação, o Journal foi a opção mais utilizada para publicação. Além disso, a conferência "IEEE International Conference on Advanced Communications, Control and Computing Technologies" e o periódico "Expert Systems with Applications", destacaram-se como maiores publicadores.

Contribuições Teóricas: Esta pesquisa apresenta resultados relevantes à academia e aos empreendedores, fornecendo evidências de que há uma lacuna nas pesquisas sobre um método formal de desenvolvimento experimental e dirigido à estratégia de aplicações de BI e Data Mining. Além disso, este trabalho apresenta-se como uma fonte de consulta aos padrões de métodos existentes para o desenvolvimento de aplicações inteligentes, bem como pode ser replicado e estendido, pela sistematização aplicada. Por fim, há o direcionamento para pesquisas que proponham métodos de criação de aplicações inteligentes validadas experimentalmente e alinhadas à estratégia.

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Biografia do Autor

Rodrigo Fontes Cruz, Universidade Federal de Sergipe

Mestre em Ciência da Computação
Universidade Federal de Sergipe – UFS.

Methanias Colaço Júnior, Universidade Federal de Sergipe

Doutor em Ciência da Computação – Pós Doutor em Gestão
Universidade Federal de Sergipe – UFS.

Victor Menezes Gois, Universidade Federal de Sergipe

Bacharel em Sistemas de Informação
Universidade Federal de Sergipe – UFS.

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