Customer Distinctiveness using Multi-Layer Clustering ApproachJournal: International Journal of Science and Research (IJSR) (Vol.7, No. 9)
Publication Date: 2018-09-05
Authors : Madhavi Patil; Swati Rajput; Prachi Salve;
Page : 511-513
Keywords : Customer Segmentation; Market; Data Analysis; Mining Technology; clusters;
Customer segmentation is the method of isolating customers into groups based on common characteristics so companies can market to each group effectively and properly. Customer segmentation provides a well-organized manner to get insights into customer distinctiveness and behavioral preferences. Market segmentation is the activity of dividing a wide consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics. Two-layer clustering model for mobile telecommunication client analysis enhances customer relationship management and focuses on a dynamical marketplace. With the raise of massive data and also the growth of data mining technology, the mass storage of internal enterprise data will be analyzed, effectively for hidden customer worth. Data clustering and clustering algorithms allow us to cluster tremendously reliable individuals and assign different people to the acceptable segments. Trade and world have several samples of clustering analysis getting used to ascertain cluster characteristics customer grouping analysis could be a well-liked application. By analyzing client attributes, behaviors, and preferences, we will confirm the high homogeneity of individual clusters, and also the high degree of non correspondence among individuals, given the appropriate segments.
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