Design of OLAP Cube for Banking System of India

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-35 Number-3
Year of Publication : 2016
Authors : Dr. Arpita Mathur, Nikhita Mathur
  10.14445/22312803/IJCTT-V35P129

MLA

Dr. Arpita Mathur, Nikhita Mathur "Design of OLAP Cube for Banking System of India". International Journal of Computer Trends and Technology (IJCTT) V35(3):154-156, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Nowadays OLAP is playing a very important role in banking sector in India. In India banks are providing various services to attract their customers due to tough competition. There are a lot of changes seen in recent years in the field of banking industry. Now banks are adopting innovative ideas for improving their services and to get the faith of their customer .These innovative services comprise of: centralized banking system, mobile banking , internet banking , NACH, SMS alert , RTGS, smart card, ATM and many more. This paper presents OLAP & data mining strengths which link up the decision support system of banking sector. The objective of this paper is to show which model is purposed for banking industry & how that model work for improving the efficiency.

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Keywords
Data warehouse, OLAP, Data cubes, Decision Support System, Data Mining.