A Systematic Literature Review of Business Intelligence Technology, Contribution and Application for Higher Education

Santi, Rahmatika Pratama; Putra, Hasdi

doi:10.1109/icitsi.2018.8696019

Cited by 19 publications

(10 citation statements)

References 11 publications

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“…This particular condition is termed as rich data but poor information due to the analysis failure. Additionally, the HRM system at the organizational level has still not been fully explored, because simple data collection and storage without its effective analysis and management leads to no utilization of a huge amount of data effectively [10], thereby wasting limited resources of the organization along with the opportunity of using big data to grow quickly. The conventional HRM system was not capable of fulfilling organizational requirements for big data; as for making the system work efficiently, it must automatically process search a huge amount of data for its volume reduction [11].…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning-Based Framework for Human Resource Recommendation

2022

Wireless Communications and Mobile Computing

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Recently, small- and medium-scale organizations have gained favorable responses due to the dramatic economic growth in China. This rise is due to international collaborations and social-economic growth by providing good quality and quantity services. However, when compared with other developing countries, small- and medium-scale organizations in China face many restrictions considering size and contributions. Few organizations are still facing a challenge because of the difficulties and lesser quality and also with lack of human resources. The prime objective of this study is to identify the current scenario of human resources for small- and medium-scale organizations, the factors affecting it, and the steps that can be effective in overcoming these challenges. In this study, human resource data is analyzed and managed using deep learning. The functionalities of human resources are realized by the deep learning approach, and further, business volume is reduced for enhancing the efficiency of human resources. The forecasting model is proposed and tested in human resource data by implementing a gradient descent process. Additionally, a deep neural network is implemented to enhance the accuracy of the proposed model. Experimental analysis is conducted by considering several neurons at the hidden layer, iteration count, and different types of decent gradient processes. The training accuracy and validation accuracy of the proposed model by implementing a deep neural network are observed as 95.67% and 94.53%. The experimental observations reveal the potential and significance of the proposed model.

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Section: Introductionmentioning

confidence: 99%

A Deep Learning-Based Framework for Human Resource Recommendation

2022

Wireless Communications and Mobile Computing

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“…PRISMA is a systematic approach developed by David Moher to review literature [ 12 ]. The PRISMA approach has five steps in literature search: defining criteria, identifying sources, selecting literature, collecting data, and selecting data items [ 13 ].…”

Section: Related Workmentioning

confidence: 99%

Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain

Ayyıldız

Erdoğan

Gümüş

2021

Computers in Biology and Medicine

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“…Business Intelligence pode ser definido também como a capacidade de abstrair, traduzir e explorar os dados operacionais que são coletados por uma empresa, agência ou organização para, posteriormente, identificar oportunidades, ameaças, desempenho e dar apoio à tomada de decisão (SANTI & PUTRA, 2018).…”

Section: Business Intelligenceunclassified

“…A aplicação e o desenvolvimento da BI têm sido amplamente aplicadas em vários domínios pelas organizações com grandes volumes de dados, onde essas aplicações incluem: setor de turismo, saúde, vendas, produção ou mesmo no setor educacional (SANTI & PUTRA, 2018).…”

Section: Aplicações De Biunclassified

Desenvolvimento de software como ferramenta baseada em business intelligence para análise de resultados / Development of a tool based on business intelligence for results analysis

Neves¹,

Magno²

2021

BJDV

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Os sistemas de software, tecnologias e metodologias que realizam análise de dados, constituem o domínio de inteligência de negócios ou Business Intelligence (BI), que é definido como um conjunto de estratégias que envolvem a captura e a análise de dados para processos de tomada de decisão. Dessa forma, busca-se criar um ambiente em que a empresa tenha mais facilidade para encontrar, avaliar, colaborar, compreender e agir a partir de informações de alto valor. O BI aumenta o conhecimento dos funcionários acerca da empresa, permitindo a divulgação dos processos, a coleta de feedback e a captura de dados organizacionais é apresentada aos tomadores de decisão de forma harmonizada. Este trabalho aborda o estudo de BI para a construção de uma ferramenta para auxiliar na análise dos dados em uma fábrica de dispositivos móveis em seu processo de controle de retorno de aparelhos por conta de devoluções. A metodologia utilizada neste trabalho foi um estudo exploratório para coleta dos requisitos para construção da ferramenta, na qual foi desenvolvida e apresentada para a equipe técnica da fábrica. A ferramenta teve uma boa aceitação de seus usuários e atende as necessidades principais para análise do processo. Além disso, para que a ferramenta fique mais abrangente foram acrescentadas novas funcionalidades para que o sistema proporcione maturidade para tomadas de decisões e que contribuam para o processo e as suas estratégias de médio e longo prazo.

show abstract

A Systematic Literature Review of Business Intelligence Technology, Contribution and Application for Higher Education

Cited by 19 publications

References 11 publications

A Deep Learning-Based Framework for Human Resource Recommendation

A Deep Learning-Based Framework for Human Resource Recommendation

Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain

Desenvolvimento de software como ferramenta baseada em business intelligence para análise de resultados / Development of a tool based on business intelligence for results analysis

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