Data Warehousing
In most organizations the data is made up of collection of heterogeneous systems to support the operational activities. The management is not looking for such detailed information and wants to know the information at the aggregate level in order to be able to make a decision. The purpose of data warehousing is to provide a reliable, consolidated and integrated environment to support the decision making process.
Data warehousing architecture defines the components of a data warehousing such as, data architecture, data integration architecture, information architecture, metadata management and database management and describes the way the components work with each other. Data warehouse methodology defines how these components are constructed. The ideal architecture for one organization may not be suited for another.
i2Fusion, Inc. consultants study your information needs and business goals and come up with the ideal data warehouse architecture, including data integration architecture, to deliver the timely and accurate information to the data warehouse environment.
