TechRepublic

Customer Segmentation of Bank based on Data Mining – Security Value based Heuristic Approach as a Replacement to K-means Segmentation

K-means segmentation algorithm can be applied to customer segmentation in banks. If loan over-due amount of bank customers are normally distributed, then k-means can be used. In cases of significant ...
Business Wire

Mining Changing Customer Preferences in the Dynamic Asian Fintech Market | Quantzig’s Customer Segmentation Analytics Success Story

LONDON--(BUSINESS WIRE)--A premier data analytics and advisory firm, Quantzig, has announced the completion of its latest success story that highlights how a leading fintech industry player used ...
CMS Wire

Mastering Customer Insights Through Data Segmentation

Data-driven customer segmentation allows you to analyze if there are several distinct groups in your addressable market and what they are. Customer-centricity is the process of continuously optimizing ...
Rochester Institute of Technology

Retail Data Analysis - Product Recommendation through Association Rule Mining and RFM Customer Segmentation

Retailing plays a crucial role in every individual’s day-to-day lives to meet their everyday needs. It is like an open house for trading. As it became a part of everyone’s life, full focused attention ...
Forbes

14 Steps For Getting Started With Data-Driven Market Segmentation

Data-driven market segmentation is key for business owners to gain insight into consumer behavior. It allows business owners to understand their consumers and their needs on a deeper level, giving ...