An Integrated Approach to Improve Decision Support System Through Data Mining

The success of an organization depends on the quality of decisions taken well in time. The organizations around the globe are starving hard to manage huge amount of data stored in their data repositories and hence are finding ways and means to explore data to enhance the quality of decisions through better decision support systems. Many organizations are using OLAP based tools for decision making, but as the size of data bases is increasing at an alarming rate, these tools have become insufficient. In such a situation, the tools and techniques of data mining and data warehousing are being used by the organizations to discover patterns and relationships hidden in data and hence enabling an inductive approach to data analysis. This paper throws light on the concept that how data mining methods can be integrated with the decision support systems to enhance the quality of decisions.