9sight Consulting – Meeting The Six Data Vault Challenges

9sight consulting

By: Barry Devlin, Founder & Principal, 9sight Consulting | September 14, 2017

Implementing a data warehouse has long involved treading a narrow line between data quality and business agility. In the early years of the new millennium, two separate approaches emerged that promised to square this circle: The Data Vault offered a new data model optimized for data warehouse agility, while Data Warehouse Automation provided an environment for faster and more reliable development.

While Data Vault has continued to gain supporters and now offers a development methodology, implementation challenges remain. Meeting the Six Data Vault Challenges outlines six common issues that businesses have encountered in the areas of initial acceptance, development, and ongoing evolution of a Data Vault-based data warehouse.

Download this white paper to learn how these challenges are addressed by Data Vault Automation and, specifically, by the automation capabilities offered within WhereScape® Data Vault ExpressTM.

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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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