Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Managing the data warehouse
Data warehouse: practical advice from the experts
Data warehouse: practical advice from the experts
Building, using, and managing the data warehouse
Building, using, and managing the data warehouse
Data warehouse design solutions
Data warehouse design solutions
Data warehouse performance
The essential guide to data warehousing
The essential guide to data warehousing
Data Warehousing: Strategies, Technologies, and Techniques
Data Warehousing: Strategies, Technologies, and Techniques
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
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This case study will describe the efforts behind designing a first iteration of an evolutionary, iterative enterprise-wide data warehouse for AIIA Corp., a financial application service provider. The study demonstrates the importance of the following steps during a data-warehousing project: a well-defined mission, effective requirement collection, detailed logical definitions, and an efficient methodology for source systems and infrastructure development.AIIA is a financial distributor that offers separately managed account and investment products with practice management services to financial advisors through a Web-based portal that can also be configured and private-labeled for the advisors to use with their clients. Unlike most companies, AIIA offers the advisors a hybrid of investment information and technology solutions, both designed with an open architecture.