Data Warehousing as Knowledge Pool : A Vital Component of Business Intelligence

Abstract

Increasing amounts of information and diverse formats have forced organizations to create large data repositories in response to the information explosion in the 21st century. As a result, the model of a data warehouse has been introduced to define a large data repository. The purpose of this article is to describe the principles of data warehousing in business and how it can enhance the generation of new knowledge throughout the organization. Definitions of data warehousing are considered and include methods of its use, namely query and data simulation. The steps required prior to transforming the raw data into a data warehouse and project goals for data warehouses and metadata are also discussed. The objective of this document is to provide a clear and simple description of data warehousing terms and concepts, especially for busy managers and laymen. They may only need basic and direct information about data warehouses to gain a complete understanding of the principles of the data warehouse.