Marketing strategies in the banking services sector with the help of data science
Year of publication: |
2022
|
---|---|
Authors: | Zatonatska, Tetiana ; Hubska, Maryna ; Shpyrko, Viktor |
Published in: |
Marketing i menedžment innovacij : m&mi. - Sumy : [Verlag nicht ermittelbar], ISSN 2227-6718, ZDB-ID 2647971-0. - 2022, 2, p. 121-127
|
Subject: | bank | marketing activity | advertising | regression | involvement of new clients | Data Science | Marketingmanagement | Marketing management | Bank | Bankgeschäft | Banking services | Beziehungsmarketing | Relationship marketing |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.21272/mmi.2022.2-11 [DOI] hdl:11159/8944 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
A study on marketing strategies of banking services during covid times
Ramakrishnan, Sheeja, (2022)
-
Strategic positioning and quality determinants in banking service
Akdag, Hatice Camgöz, (2011)
-
Does the length of a customer-provider relationship really matter?
Chiao, Yu-ching, (2008)
- More ...
-
Churn rate modeling for telecommunication operators using data science methods
Zatonatska, Tetiana, (2023)
-
Statistical arbitrage using cointegration and principal component analysis approach
Bartkoviak, Oleksandr, (2022)
-
Forecasting of the employment rate in the EU ICT field
Zatonatska, Tetiana, (2022)
- More ...