The article presents the way of applying cluster models to customer classification and
managerial decision on retaining the available clients and acquiring new ones. The …

The article presents how cluster models works to create customer classification and to make
managerial decision for saving clients and founding new target auditory. The objective of …

The problem of the research is targeted to exploring the customer-related information by
analysing marketing indicators in order to substantiate the enterprise financial results. The …

Using the tools under the title of" customer scoring" drives the organizations to have their
1110stefforts in focusing for identification, acquisition and retention the customers, with high …

The paper is devoted to application customer profitability analysis to nonbanking lenders
which predominantly focus on payday loans. The “Whale curve” has been constructed and …

The article describes methods of construction of predictive models for classifying customers
based on their churn from the company for the exam-ple of a mobile operator. There are …

The value of a customer is a key parameter of the creation of all business processes. A
significant number of companies faces the problem of inconsistency and incoordination in …

A key aspect of successively maintaining a store on the market is the analysis of customer
typology. By understanding individual segments of consumers, entrepreneurs are able to …

Purpose The purpose of this paper is to generate customer clusters using self-organizing
map (SOM) approach, a machine learning technique with a big data set of credit card …

Nowadays, there are a lot of customer-based companies and organisations, including
banks, that are serving to present services and products to customers with different levels …