HOW DO YOU CREATE AN AGILE DATA WAREHOUSE?
One of the knocks against data warehouses, which are critical components of any analytical ecosystem, is that they are slow to build and change. This is understandable once you recognize that the purpose of a data warehouse is to deliver a unified view of enterprise data and serve as the foundation for all reports and dashboards used to make decisions. This sounds easy, but is hard to do.
Virtual view. Data warehouses deliver a “single version of the truth” for an organization. With a well-designed data warehouse, there is no dispute about what different metrics and data elements mean. And users have one place to go to get a comprehensive and integrated view of business activity, even if ...