Improve the Decision Making Process in Human Resource Management using Data Mining Tools

Abstract

In present, the HR department is not only responsible for the human resource management and development but also responsible as a decision maker to other department in the organizations. It supports to the department for the solutions of the any decision related problems to achieve the desired goals and objectives of the organisation. The HR department directly support to other department in the decision making process for required achievement or desired goals of the organisation. In this paper, design data mining tools for improve and support to the DSS (Decision Support System) for the decision making process of each department of the organisation to technical support for the complex decisions making process of the related problems. DSS as the based the technical solution of the related problems using data mining tools., for this, the technical tools of data mining (Cube, Clustering, Data mart, Mata data) for the solution of the quick decision support data, cube data, multi-dimensional data and other analysis of the information for the related decision making process. The Strategic information system designs for the dimensional, multi-dimensional, classification of data and clustering of data using data mining tools as data marts, data cubes, Mata data etc for the technical and quick/rapid decision making process in organizations for decision makers. Here the aim of paper to design and develop the Strategic information system and Intelligent Process Automation System for improve Decision Making Process of the Human Resource Management using data mining tools and support to the Decision Support System for further specification of the information. The data mining tools support dimensional data, Classification/ Clustering of data as well as Predicate Analysis and Content based information system using Cubes, Data Marts, and Mata data tools of Data Mining.