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Market Segmentation Customer Satisfaction-Product Service ManagementCROSSMARK Color horizontal
K. R. R. Gandhi

Dr. K. R. R. Gandhi, Professor, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, India.

Manuscript received on November 13, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 419-428 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6423129219/2019©BEIESP | DOI: 10.35940/ijitee.A4013.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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. 
Keywords: PCA, Linear Regression, Factor Analysis
Scope of the Article: Regression and Prediction