Using Data Mining to Improve Decision-Making: Case Study of A Recommendation System Development

Abstract

This study aims to provide a practical perspective on how data mining techniques are used in the home appliance after-sales services. Study investigates on how can a recommendation system help a customer service company that plans to use data mining to improve decision making during its digital transformation process. In addition, study provides a detailed outline on the process for developing and analyzing platforms to improve data analytics for such companies.

Keywords

• digital transformation
• data mining
• decision tree algorithm
• decision-making
• home appliances after-sales services