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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Surnin, O., Sigova, M., Sitnikov, P., Ivaschenko, A., Stolbova, A. (2019). Adaptive Analysis of Merchant Big Data. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_8
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