{"title":"Customer Segmentation","authors":"Pappala Shamili Kumari","doi":"10.1002/9780470685815.ch5","DOIUrl":null,"url":null,"abstract":"In today’s fast moving world of marketing, the management of customer treatment can be seen\nas a key to achieve revenue growth and profitability. One of the big challenges in customer-based\norganizations is customer cognition, understanding the difference between them, and scoring them.\nBusiness strategies have to be according to the solutions to the above mentioned challenges. In this\npaper we proposed a Customer Segmentation, which is one of the key aspects of the business\ndecision support system and we are using K-means clustering algorithm which is a partitioning\nalgorithm, to segment the customers according to the similar characteristics to determine the\noptimal clusters.","PeriodicalId":267039,"journal":{"name":"Anti‐Money Laundering Transaction Monitoring Systems Implementation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti‐Money Laundering Transaction Monitoring Systems Implementation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9780470685815.ch5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In today’s fast moving world of marketing, the management of customer treatment can be seen
as a key to achieve revenue growth and profitability. One of the big challenges in customer-based
organizations is customer cognition, understanding the difference between them, and scoring them.
Business strategies have to be according to the solutions to the above mentioned challenges. In this
paper we proposed a Customer Segmentation, which is one of the key aspects of the business
decision support system and we are using K-means clustering algorithm which is a partitioning
algorithm, to segment the customers according to the similar characteristics to determine the
optimal clusters.