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.
Key Findings: EMA Research Study on Data Warehouse Automation
Learn more about our unique data productivity capabilities for these leading platforms
Deploy on Microsoft Azure and integrate with Microsoft applications.
Seamlessly work with Amazon Web Services (AWS).
Leverage a complete range of Google infrastructure and data solutions.
Ingest data from multiple sources and deliver more business insights.
Deliver a wider variety of real-time data for Al, ML and data science.
“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”
Daniel Seymore, Head of BI, Investec South Africa
"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."
Carsten Griefnow, Senior BI Manager
"It’s like having five people with only really two people working on it."
Will Mealing, Head of Data & Analytics at L&G
WHITEPAPER
Gartner report: Automate Data Warehouse Development for Productivity and Agility
Read Whitepaper →
ON-DEMAND WEBINAR
Transforming Higher Ed Analytics: The Power of WhereScape’s Data Automation
Watch Webinar →