Data Mining and Business Intelligence Applications in Telecommunication Industry
Madhuri V. Joseph
Madhuri V. Joseph, Sr. Lecturer, Dept of Computing, Muscat College, Muscat, Sultanate of Oman.
Manuscript received on January 22, 2013. | Revised Manuscript received on February 11, 2013. | Manuscript published on February 28, 2013. | PP: 525-528 | Volume-2 Issue-3, February 2013. | Retrieval Number: C1216022313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Telecommunication companies today are operating in highly competitive and challenging environment. Huge volume of data is generated from various operational systems and these are used for solving many business problems that required urgent handling. These data include call detail data, customer data and network data. Data Mining methods and business intelligence technology are widely used for handling the business problems in this industry. The main application areas of BI and Data Mining in telecommunication industry include fraud detection, network fault isolation and improving market effectiveness.
Keywords: Data Mining, Telecommunications, Business Intelligence, Fraud Detection, Network fault Isolation, Marketing & CR.M.