The Data Warehouse (TDWI) institute defines Data Warehouse Automation (DWA) as:
"... using technology to gain efficiencies and improve effectiveness in data warehousing processes. Data warehouse automation is much more than simply automating the development process. It encompasses all of the core processes of data warehousing including design, development, testing, deployment, operations, impact analysis, and change management."
Data warehouse automation allows you to do more, faster and with the lowest cost.
New data warehouse automation tools are needed to turn traditional waterfall development processes into agile, fast-paced, business-oriented processes.
IT IS HARD TO FIND A REASON FOR NOT AUTOMATING
You can make changes quickly and iteratively, make prototypes, and tests to better respond to evolving business requirements. In addition, automated development enables you to apply standards and best practices for consistent, high-quality solutions.
With automation, you can make changes quickly and often to meet changing business and technical requirements.
It allows us to discover problems and blockages earlier than months later, so that we can make changes to strategies that are necessary to achieve success. Iterate quickly allows us to be able to test an idea more economically and then change it until we find the best way to achieve the desired results.
With shorter development times, the design costs are reduced the return on investment increases. In this way, IT resources can be used for higher value-added tasks, allowing you to innovate faster and do more with a limited budget.