About: Electronic data processing is a research topic. Over the lifetime, 489 publications have been published within this topic receiving 5059 citations. The topic is also known as: computer data processing.
TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
Abstract: Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.
TL;DR: Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.
Abstract: Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.
TL;DR: In this paper, a survey on IT applications in Hong Kong hotels was conducted through personal interviews with 21 managers of hotel electronic data processing/management information systems (EDP/MIS) in 2003, different technical and behavioural aspects of IT were examined.
Abstract: Purpose – Information technology (IT) applications in the hotel industry have largely been devoted to the handling of the routine operational problems that crop up while running a hotel Previously, the hotel industry has been criticised as reluctant to make full use of IT This paper reports and analyses the findings of a recent survey on IT applications in Hong Kong hotelsDesign/methodology/approach – Through personal interviews with 21 managers of hotel electronic data processing/management information systems (EDP/MIS) in 2003, different technical and behavioural aspects of IT were examinedFindings – Compared with a similar study performed in 1997, the empirical findings in 2003 showed that IT was used not merely to replace the existing paper system but also to improve customer services and to enhance operational effectiveness Unfortunately, the empirical findings also indicated that hotel decision makers did not seem to realise the importance of IT for the purpose of developing business strategies