Checklist: Is Your Organization Ready for Data Warehouse Automation?

Checklist: Is Your Organization Ready for Data Warehouse Automation?

More organizations are moving away from the time- and labor-intensive manual data warehouse management process, and are moving towards faster and more cost-efficient solutions. Data warehouse automation, or more broadly categorized as data infrastructure automation, fills a critical and essential role in modernization and agility efforts.

However, in order to reap the benefits of a data warehouse automation solution you first need to determine if it is the right fit and if your organization is ready to make the switch.

Our checklist outlines the twelve criteria you should consider when evaluating your organization’s readiness for automatio

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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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Tencate Protective Fabrics

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Gartner report: Automate Data Warehouse Development for Productivity and Agility

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Automate, Accelerate, and Innovate: Enhancing Data Product Development with Data Mesh and Data Fabric

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

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