Agile data warehouse automation
Accelerate and simplify data warehouse design, development, testing, implementation, and updates.
Speed up time for analysis
The multiple, error-prone ETL development effort to set up a data warehouse - usually 60-80% of the preparation time - often means that the data model is outdated before the BI project even starts. Changing these brittle data warehouses causes more delays, connects skilled resources and slows down project ROI. To speed up the time for analysis, the creation and management of the data warehouse should be streamlined where possible.