Open AccessMarket Segmentation Customer Satisfaction-Product Service Management
Author(s) -
Khanjan Gandhi
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6423.129219
Subject(s) - normalization (sociology) , customer satisfaction , index (typography) , market segmentation , business , computer science , service (business) , marketing , order (exchange) , measure (data warehouse) , set (abstract data type) , regression analysis , econometrics , process management , data mining , mathematics , machine learning , world wide web , finance , sociology , anthropology , programming language
It is very relevant for a better management to calculate some satisfied index of consumers of a particular market, and of a consumer service. To achieve this, we add study of PCA, factor and regression to our data points and then by normalization we create a best suited model. Eventually, the model explains the effectiveness of a given set of customers ' happy list. All these measurements are given in a systematic order to measure happy index, including the source code.