Data Automation

The term automation was coined in the automobile industry around 1946 to describe the increased use of automatic devices and controls in production lines. 75 years later, automation is still big news and companies big and small and across all industries view automation as a strategic imperative. IT automation is the use of software to perform repeatable tasks without human intervention. Data automation involves the discovery, modeling, gathering, transforming, loading, documenting, and the maintaining of data infrastructures for organizations. Data infrastructures include data warehouses, data vaults, data lakes, and data marts.

The value of data automation is the same for all other automations, eliminate the manual repetitive tasks which leads to increased agility and productivity and reduced expenses. Organizations are seeing 75% productivity gains in their data warehouse development time. These organizations no longer manually process data and they are eliminating the use of multiple tools. Documentation is automatically created and the software captures every single change and stores the information which ensures every team member can easily see all the dependencies and impacts associated with the data warehouse at any time.  Without automation, documentation is often not captured.

Data automation is allowing data teams to deploy updates to their data warehouses and add new data at a faster pace to keep up with business needs. Data automation increases collaboration between business and IT teams and organizations are deriving additional value from their data.