2018
DOI: 10.1051/matecconf/201819305061
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Approach to the choice of Big Data processing methods in financial sector companies

Abstract: The paper describes the tasks of financial sector companies, solved using the technology of processing Big Data. The possibilities of using Big Data for solving the problems considered are analyzed. A comparative analysis of the methods for processing Big Data has been carried out, a correspondence has been established between the methods considered and the tasks being solved by the companies of the financial sector. Criteria for choosing methods for processing Big Data are developed depending on the type of t… Show more

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Cited by 6 publications
(5 citation statements)
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“…In addition, the proposed and many industry-specific digital solutions. So, [13] in building, [14,15] in mining, [16,17] in the financial sector. As for the sphere of personnel management and the proposal of digital solutions for its improvement, we can distinguish the work [18][19][20][21][22][23][24][25].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In addition, the proposed and many industry-specific digital solutions. So, [13] in building, [14,15] in mining, [16,17] in the financial sector. As for the sphere of personnel management and the proposal of digital solutions for its improvement, we can distinguish the work [18][19][20][21][22][23][24][25].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Tableau solutions are designed to analyze data and identify information that is valuable for business with minimal costs for system implementation, employee training and maintenance in the future. The Tableau platform is based on two innovative technologies: VizQL, through which you can create complex visualizations with a mouse click, and the Data Engine, which provides analysis of millions of rows per second [7]. The use of Tableau gives companies a number of advantages.…”
Section: A Tableau Bi Systemmentioning
confidence: 99%
“…Systems for business analysis solve a very wide range of tasks. Thus, the "near horizon" is the monitoring, analysis and adjustment of operational objectives [2,3,4,5]:…”
Section: Introductionmentioning
confidence: 99%
“…The following methods and analysis techniques are presented in the report of the consulting firm McKinsey & Companies that apply to Big Data [20]: Data Mining class methods, crowdsourcing, data mixing and integration, machine learning, ensemble learning, neural networks, pattern recognition, simulation modeling, statistical analysis, visualization of analytical data [21]. However, the development of specific methods and their practical implementation is a complex process, this was shown by our work on the creation and implementation of the methodology for studying international markets for an innovative product based on Big Data using neural networks [22].…”
Section: F Materials and Suppliers Sourcingmentioning
confidence: 99%