A survey on context awareness in big data analytics for business applications

Abstract

The concept of context awareness has been in existence since the 1990s. Though initially applied exclusively in computer science, over time it has increasingly been adopted by many different application domains such as business, health and military. Contexts change continuously because of objective reasons, such as economic situation, political matter and social issues. The adoption of big data analytics by businesses is facilitating such change at an even faster rate in much complicated ways. The potential benefits of embedding contextual information into an application are already evidenced by the improved outcomes of the existing context-aware methods in those applications. Since big data is growing very rapidly, context awareness in big data analytics has become more important and timely because of its proven efficiency in big data understanding and preparation, contributing to extracting the more and accurate value of big data. Many surveys have been published on context-based methods such as context modelling and reasoning, workflow adaptations, computational intelligence techniques and mobile ubiquitous systems. However, to our knowledge, no survey of context-aware methods on big data analytics for business applications supported by enterprise level software has been published to date. To bridge this research gap, in this paper first, we present a definition of context, its modelling and evaluation techniques, and highlight the importance of contextual information for big data analytics. Second, the works in three key business application areas that are context-aware and/or exploit big data analytics have been thoroughly reviewed. Finally, the paper concludes by highlighting a number of contemporary research challenges, including issues concerning modelling, managing and applying business contexts to big data analytics.

Aplicações De Análise De Dados Para Vendas Internas E Gestão De Leads

“…Nesse sentido, as redes sociais de mostram uma fonte de informações valiosa, onde as pessoas atualmente tendem a compartilhar seus pensamentos, emoções, sentimentos e preferências (Dinh, Karmakar, & Kamruzzaman, 2020, Thaichon et al, 2018. Além disso, é possível a obtenção dos dados do histórico de pesquisa do cliente (também conhecido por 'pegada digital') (Mero et al, 2020).…”

“…Mais que isso, métodos para extrair dados textuais e realizar análises de sentimentos possibilitam avaliações dinâmicas (Dinh et al, 2020). Tal que, o posicionamento da empresa na web não precisa ser estático e a distribuição do conteúdo ocorre em resposta a condição do lead (Mero et al, 2020;Syam & Sharma, 2018).…”

“…Assimilar o volume e variedade de dados (texto, imagem, som, entre outros) que o uso da tecnologia permite ainda se mostra como um desafio (Dinh et al, 2020). Como declaram Arli et al…”

“…Para a agilidade na troca de informações é importante que a empresa tenha uma infraestrutura de TI adequada. O uso de computação em nuvem, por exemplo, é mencionado positivamente associado ao desempenho administrativo, por possibilitar um fluxo de informação mais eficiente (Arli et al, 2018;Dinh et al, 2020;Thaichon et al, 2018;Ohiomah et al, 2019).…”

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

“…Context-aware innovations that make use of contextual data can enhance service customization driven by quality personalized feedbacks and objectives in service delivery which ultimately results in the adoption and diffusion of any technology such as m-government [178][179][180]. Mobile government context-aware services systems can empower context generation where information and services can be accessed via mobile devices based on location, people, or places of interest close by [181,182]. Again, our results showed that while mobile factor ubiquity was not significant in influencing the performance expectancy of mobile government services, it was however significant in determining both effort expectancy and intention to use mobile government services.…”