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2019 | OriginalPaper | Chapter

Adaptive Analysis of Merchant Big Data

Authors : Oleg Surnin, Mariia Sigova, Pavel Sitnikov, Anton Ivaschenko, Anastasia Stolbova

Published in: Creativity in Intelligent Technologies and Data Science

Publisher: Springer International Publishing

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Abstract

There is proposed a method and technology for adaptive analysis of demand and supply of regional banking acquiring services based on Big Data processing. The paper introduces a new technology of acquiring services demand and supply monitoring and analysis using specifically designed and developed software solution. The proposed approach and its implementation become a basis for acquiring service marketing, locations perspective search and tariffs calculation considering the individual characteristics of sales and services business. The developed technique is implemented by software for decision-making support system pro-bated on model data of the St. Petersburg financial environment.

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Title: Adaptive Analysis of Merchant Big Data
Authors: Oleg Surnin
Mariia Sigova
Pavel Sitnikov
Anton Ivaschenko
Anastasia Stolbova
Publisher: Springer International Publishing
Book: Creativity in Intelligent Technologies and Data Science
Print ISBN: 978-3-030-29742-8

Electronic ISBN: 978-3-030-29743-5

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-29743-5_8

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