Portland, OR – August 9, 2016 – Enterprise Management Associates (EMA) has published an end-user research study, Speeding Analytics Success with Data Warehouse Automation, which shows that nearly 50 percent of respondents are using data warehouse automation strategies at “Essential” or “Important” levels. The research study, underwritten by WhereScape, 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, a leading IT and data management research and consulting firm headquartered in Boulder, CO, implemented the study to investigate the adoption of data warehouse automation strategies within a community of organizations implementing analytical environments such as data warehouses, the implementation of those practices in projects, and how successful projects are within the context of those higher-level strategies. EMA surveyed 123 business and technology leaders from North America. John Myers, EMA Managing Research Director, Business Intelligence, spearheaded 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 wrote. “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.
Other key findings in the EMA research study include:
- Benefit of a Value-added Partnership: Organizations with Essential data warehouse automation strategy implementations gain the benefit of an Improved perception of IT department over organizations without implementing automation strategies.
- Fast out of the Gate: Organizations with an Essential data warehouse automation strategy approach have a nearly 50 percent decrease in the amount of time spent on Initial Implementation timeframes as opposed to those organizations who have Not Adopted automation strategies.
- Finding Project Success: Chances of a Very Successful project implementation increase by over 30 percent when organizations implement a Completely Automated projects than those organizations who choose to utilize Completely Manual implementation approaches.
- Automating Projects: Nearly 60 percent of respondents are using some form of software product driven automation as part of their project implementation strategy.
- Plan the Work: Organizations using Essential data warehouse automation strategies are five timesless likely to be without a Defined Development Strategy than organizations who have not established automation practices.
- Change is the Only Constant: Over 60 percent of respondents face the challenge of Weekly or Monthly changes to their analytical environment projects.
- Handling the Change: Organizations with an Essential automation strategy approach are 2.5 times more likely to handling those Weekly or Monthly changes than those organizations without automation practices in place.
- Improving Your Chances of Success: When using an Essential DWA strategy approach, organizations have nearly two times the Average Project Success Score than organization who are not currently implementing or even planning a DWA strategy.
- Doing More With Less: When using Completely Automated project implementation practices, organizations experience between a 10-15 percent reduction in overall staffing requirements
To read all of EMA’s study conclusions, read the EMA 2016 Data Warehouse Automation Study Key Findings. An EMA Infographic highlighting the data warehouse automation research study findings can be found here.
“The EMA research study mirrors what we are seeing in the industry—an increasing awareness of the benefits of automation to expedite the development and deployment of data warehouses, business intelligence and analytic environments,” said WhereScape President Mark Budzinski. “WhereScape’s automation solutions enable agile project delivery through accelerated development, documentation and deployment for today’s popular platforms that help lower risk and reduce costs,” Budzinski said.
Founded in 1996, EMA is a leading industry analyst firm that specializes in providing deep insight across the full spectrum of IT and data management technologies. EMA analysts leverage a unique combination of practical experience, insight into industry best practices, and in-depth knowledge of current and planned vendor solutions to help clients achieve their goals. Learn more about EMA research, analysis, and consulting services for enterprise line of business users, IT professionals and IT vendors here. You can also follow EMA on LinkedIn, Twitter, and Facebook.
WhereScape is the data warehouse automation pioneer. WhereScape designs, develops, sells and supports WhereScape 3D, the industry’s first data warehouse discovery tool; and WhereScape RED, the industry’s first and best integrated development environment for building, deploying, managing and renovating data warehouses and analytic systems. WhereScape’s products are used in every kind of today’s commercial environment: from normal-form enterprise data warehouses and data vaults, through user access layers and tiers of dependent data marts, to standalone data marts and reporting systems.
More than 700 customers use WhereScape’s products to build data warehouses, with fewer people, fewer diversions, no missed deadlines, and no unmet user expectations — in day or weeks, instead of months or years. WhereScape has offices in Portland, Oregon; Auckland, New Zealand; Reading, UK and Singapore. For more information, please visit www.wherescape.com
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