Developing a process for cost justifying a data warehouse and metrics for measuring various costs associated with a data warehouse project are essential for success This article is excerpted from a book titled Data Warehouse Project Management (published by Addison
Knowing how to measure success and failure, and qualifying results for a data warehouse or analytics project is essential for all project managers. This article is excerpted from a book titled Data Warehouse Project Management (published by Addison Wesley Longman
Knowing how to use operational metadata in a data warehouse, business intelligence or analytics environment can be extremely beneficial to a wide variety of users. Introduction Many data warehouses and analytical systems include metadata management as part of their architectural considerations,
Strategies for implementing operational metadata can improve the design and performance of any data warehouse or business intelligence environment. Many data warehouses and analytical systems include metadata management as part of their architectural considerations, but they do not explore fully
Fully architected solutions to data warehouse / analytics systems, not independent data marts, is the right way to ensure all the benefits of integrated data Introduction The need for an architected solution for decision support / analytics data, as opposed
Independent data marts create stranded, unusable data. Independent data marts can spread like a disease through an organization and must be eradicated. There is a severe disease that has spread to epidemic proportions throughout our society. This disease is particularly
