Search

In recent world data analytics is more popular term in the field of computer science. The paper focuses on the compressive survey of various data analysis tools to connect with the people by just reading their data. Some of the most popular data analysis tools have been chosen, and a comparison has been made based on some key parameters to determine the best tool in the data science industry. Scenes can uses a huge collection of data information to analyze, predict, and deliver information such as the whole determined by various countries, HEIs, government, universities, and schools. In this paper data analytics tools has taken in account with the consideration of different parameter as Cost, data handling capabilities, graphical capabilities, big data, and other considerations. Comparative study has been made using own experiences on various data analysis tools. [ABSTRACT FROM AUTHOR]

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]

Fintech is quite important in a company. This paper aims to review the status and visual map position of research in the internationally Fintech publication indexed Scopus that used a bibliometric perspective. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 745 documents issued from 1984 to 2019. The study reveal that Lee Kuo Chuen and Bina Nusantara University were the most active individual scientists and affiliated institutions in Fintech publication. In Fintech the Computer Science and Economist United Kingdom were the most areas of study and dissemination sources. There were three worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from thirty-five years of publication, this study constructed a convergence axis grouping comprising of Fintech publication: Blockchain, Innovation, Big data, China, Sales, Insurance, Computers, and Cryptocurrencies, abbreviated as BIBCSICC themes. [ABSTRACT FROM AUTHOR]