Significance of Data Warehousing and Data Mining in Business Applications
Madhuri V. Joseph

1Madhuri V. Joseph, Sr.Lecturer, Dept. of Computing, Muscat College, Muscat, Sultanate of Oman.
Manuscript received on February 04, 2013. | Revised Manuscript received on February 26, 2013. | Manuscript published on March 05, 2013. | PP: 329-333 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1391033113/2013©BEIESP
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Abstract: Information technology is now required in every aspect of our lives which help business and enterprise to make use of applications like decision support system, query and reporting online analytical processing, predictive analysis and business performance management. In this aspect this paper focuses on the significance and role of Data Warehousing and Data Mining technology in business. A Data Warehouse is a central repository of relational database designed for query and analysis. If helps the business organization to consolidate data from different varying sources. These warehouses are analyzed by the latest technique known as Data Mining. In Data Mining data sets will be explored to yield hidden and unknown predictions which can be used in future for the efficient decision making. Now companies use techniques of Data Mining that involves pattern recognition, mathematical and statistical techniques to search Data Warehouses and help the analyst in recognizing significant trends, facts relationships and anomalies.
Keywords: Data Warehousing, Data Mining, OLAP, OLTP, CART & CHAID.