Disrupting the Traditional Data Warehouse Approach
Traditional data warehouse approaches are heavy on the IT dependency and upfront data modelling before any data can flow into the system. As a result, the time to value is long and only materialises once the business can start to use the reposts and insights the warehouse provides. The approach is also rigid, therefore requests for new or refined reports quickly bring on data model changes, which more often than not turn into projects measured in quarters and years.
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