The study also concludes that automation enables IT organizations to be more responsive and agile in responding to pressing business needs and is increasingly being used in building out and maintaining analytic environments.

Specifically, the EMA end-user research study, Speeding Analytics Success with Data Warehouse Automation, shows that nearly 50 percent of respondents are using data warehouse automation strategies at “Essential” or “Important” levels. The EMA research study also shows that more than 40 percent of respondents are gaining the benefits of “faster deployment of data and analytics” or “better quality of data in analytical environments” by utilizing data warehouse automation strategies.

EMA surveyed 123 business and technology leaders from North America. John Myers, EMA Managing Research Director, Business Intelligence, conducted the study. “Data warehouse automation links the design and implementation of analytical environments into repeatable processes and leads to an increase in quality of data warehouses and data marts, as well as the decrease in time to implement those environments,” Myers said. “In the study we came across a cluster of customers who have not yet considered data warehouse automation. However, this EMA end-user research revealed a growing number of companies are successfully utilizing automation for their analytical environments,” Myers added.

To read all of EMA’s study conclusions, click here for the EMA 2016 Data Warehouse Automation Study Key Findings. And click here for an EMA Infographic which summarizes the results in a graphic format. Either way you view the findings, EMA predicts the future is sure bright for data warehouse automation.