An Overview of Data Warehouse and OLAP Technology Used in Banking System
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-33 Number-2 |
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| Year of Publication : 2016 | ||
| Authors : Nikhita Mathur | ||
| DOI : 10.14445/22312803/IJCTT-V33P116 |
Nikhita Mathur "An Overview of Data Warehouse and OLAP Technology Used in Banking System". International Journal of Computer Trends and Technology (IJCTT) V33(2):76-79, March 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
A data warehouse is a very large
database system that collects, summarizes and
stores data from multiple remote and
heterogeneous information sources. The data
warehouse supports an OLAP tool for the
interactive analysis of multidimensional data. The
user analyst abstracts the data from various
resources by using the OLAP operations. The basic
objective of database is to provide and share
information anywhere at any time. The banking
system in many countries is reorganizing the
communication through internet as the way of
transaction. As technology developed new
computerized decision support applications were
studied.
This paper provides detailed picture of how
data warehouse and OLAP technology used in
banking sector.
References
[1] Paulraj Ponniah, “Data Warehousing Fundamental”, New
Delhi, Jonh Wiley & Sons, 2001.
[2] IDRBT Working Paper No.4, “An Approach to Establish
Data Warehouse for Banks in India” ,May 2000
[3] Chuck Ballard, Dirk Herreman, Don SchauRhonda
Bell,Eunsaeng Kim, Ann Valenci, , “Data Modeling
Techniques for Data Warehousing”, International
Technical Support Organization,
http://www.redbook.ibm.com, February 1998.
[4] White Paper, “OLAP Council”
[5] Erik Thomsen, “OLAP Solutions: Building
Multidimensional Information Systems”, second edition
[6] M/S S. Sathnanakrishanan, “Information System for
Banks”, M/S/, Taxman publication, Pvt. Ltd, 2005.
[7] Qiuju Yin, Ke Lu, “Data Mining Based Reduction on
Credit Evaluation Index of Bank Personal Customer”,
International Conference on Future Information
Technology and Management Engineering, 2010
[8] Dr. Dev. Harsh., Mishra. Suman. Kumar., “Design of Data
Cubes and Mining for Online Banking System” ,
International Journal of Computer Applications (0975 –
8887) Volume 30– No.3, September 2011
Keywords
Data warehouse, OLAP, Data cubes,
Decision Support System, Data Mining.