Infographic: EMA Data Warehouse Automation Survey Results

Speeding Analytics Success with Data Warehouse Automation.

Automation is taking root in the world of business intelligence and analytics. Data warehouse automation (DWA) links together the design and implementation of analytical environments into repeatable processes. DWA leads to the increase in quality of data warehouses and data marts requiring less time to implement. Unfortunately, there is a perception among many organizations that DWA is not an option for them when it comes to implementing their analytical environments.

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“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

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"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

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"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

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EBOOK

How PyD Revolutionized Their ERP System with WhereScape Data Automation

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WHITEPAPER

Complimentary Gartner®: How are Organizations Overcoming Issues to Start Their Data Fabric or Mesh?

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ON-DEMAND WEBINAR

Revolutionizing Higher Education: Data Automation for Enhanced Efficiency and Innovation

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VIDEO

Interview: AVP of Enterprise Architecture about Data Automation at Genesee & Wyoming Inc

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