Identification of the company's customer retention conditions

Abstract

Purpose: the article is devoted to the development of a metho for didentifying from the large accumulated data about individual characteristics, services used and current client statuses conditions that allow them to keep them in the status of «client of the company». Discussion: identifying the necessary knowledge requires the use of mathematical and instrumental methods to represent a database large-dimensional customer in the form of a matrix and the clustering of its rows. Therefore, it is relevant to search in the field of Big Data for new solutions and their combinations. Results: the proposed representation of the initial data allows you to map pairs of submatters containing a set of Pareto rows to determine the conditions of customer retention. The method of solving an informal problem of large developed in the article is original. It will automate the preparation of recommendations and increase their objectivity due to the possibility of explaining the references provided. In addition, the use of Big Data technology will ensure the self-adaptation of the proposed method to the changing interests of companies.