Managing talent in human resource : a Knowledge Discovery in Database (KDD) approach / Hamidah Jantan, Abdul Razak Hamdan and Zulaiha Ali Othman

• Main Authors: Jantan, Hamidah, Hamdan, Abdul Razak, Ali Othman, Zulaiha
• Format: Article
• Language: English
• Published: Research Management Institute (RMI) 2009
• Subjects: Database management
• Online Access: https://ir.uitm.edu.my/id/eprint/13071/2/13071.pdf; https://ir.uitm.edu.my/id/eprint/13071/; https://smrj.uitm.edu.my/
• Institution: Universiti Teknologi Mara

In any organization, managing human talent is very important and need more attentions from Human Resource (HR) professionals. Nowadays, among the challenges of HR professionals is to manage an organization’s talent, especially to ensure the right person is assigned to the right job at the right time. Knowledge Discovery in Database (KDD) is a data analysis approach that is commonly used for classification and prediction; and this approach has been widely used in many fields such as manufacturing, development, finance and etc. However, this approach has not attracted people in human resource especially for talent management. For this reason, this paper presents an overview of some talent management problems that can be solved by using KDD approach. In this study, we attempt to implement one of the talent management tasks i.e. identifying potential talent by predicting their performance. The employee’s performance can be predicted based on the past experience knowledge which is discovered from existing databases. Finally, this paper proposes the suggested framework for talent management using KDD approach.