First Advisor
Mason, Robert T.
Second Advisor
Blumenthal, Richard L.
Third Advisor
Birkenheuer, Nancy
College
College for Professional Studies
Degree Name
MS Database Technologies
School
School of Computer & Information Science
Document Type
Thesis - Open Access
Number of Pages
69 pages
Abstract
Data Warehouse applications are designed basically to provide the business communities with accurate and consolidated information. The objective of Data Warehousing applications are not just for collecting data and reporting, but rather for analyzing, it requires technical and business expertise tools. To achieve business intelligence it requires proper tools to be selected. The most commonly used Business intelligence (BI) technologies are Online Analytical Processing (OLAP) and Reporting tools for analyzing the data and to make tactical decision for the better performance of the organization, and more over to provide quick and fast access to end user request. This study will review data warehouse environment and architecture, business intelligence concepts, OLAP and the related theories involved on it. As well as the concept of data warehouse and OLAP, this study will also present comparative analysis of commonly used OLAP tools in Organization.
Date of Award
Fall 2011
Location (Creation)
Colorado (state); Denver (county); Denver (inhabited place)
Copyright
© Mahesh Bhetwal
Rights Statement
All content in this Collection is owned by and subject to the exclusive control of Regis University and the authors of the materials. It is available only for research purposes and may not be used in violation of copyright laws or for unlawful purposes. The materials may not be downloaded in whole or in part without permission of the copyright holder or as otherwise authorized in the “fair use” standards of the U.S. copyright laws and regulations.
Recommended Citation
Bhetwal, Mahesh Kumar, "Data Warehouse and Business Intelligence: Comparative Analysis of Olap tools" (2011). Regis University Student Publications (comprehensive collection). 623.
https://epublications.regis.edu/theses/623