A data warehouse architecture is a description of the elements and services of the warehouse, with details showing how the components will fit together and how the system will grow over time.
Arthur Moore and David Wells. The essence of data warehousing assessment is directed at refining the warehousing process and revitalizing the warehousing initiative.
Many organizations must manage multiple warehousing initiatives underway simultaneously and these systems will most likely be based on products from multiple data warehousing vendors, in the typical decentralized approach of most corporations.
Mining your corporate data for valuable customer information can improve your business performance. But it's not as simple as it sounds. Database Advisor article by Phillip Blackwood.
A successful BI project team is like a four-legged table - each leg holds up its share of the weight. Remove one and the project wobbles. The four legs of a team are Project Sponsorship and Governance, Project Management, Development Team (Core Team),...
Laura Hadley examines ways in which organizations can think about quality in the data warehouse environment, as well as ideas for possible metrics to measure quality and extend warehouse value.
