Traditional Enterprise Data Warehouses (EDWs) offer a highly governed and structured approach but rely on fragile design and modelling methods which makes them ‘personnel heavy’ and slow to respond to modern business needs. The larger the business, and the older the warehouse, the greater the complexity to maintain BAU. Faced with today’s big data challenges, many traditional EDWs are struggling to keep up with the continual new and changing demands of the businesses they serve.
The Data Vault 2.0 methodology (DV2) is different from traditional approaches in that it offers the ability to support managed self-service business intelligence with both governance and agility. It achieves this by de-coupling your business rules from the underlying datasets.
This means that, as your business changes, or you want to test, model or query, you can easily adjust the rules and quickly generate the results you need. This is a stark contrast from traditional processes that bake the business rules into the data as it’s loaded and, therefore, lose the original data.
