Turning The Data Vault Methodology Into A Practical Reality

Enterprise Data Vaults based on the Data Vault 2.0 system of business intelligence developed by Dan Linstedt have long promised IT teams greater resiliency to business and technology changes, an easier path to ingesting new and multiple data sources, and greater scalability and data consistency. But, until now, many organizations big and small have struggled with the path to successful implementation.

View this 45-minute recorded webcast and learn from data warehousing industry expert Barry Devlin of 9sight Consulting the six most common issues faced by IT teams in Data Vault adoption. Discover how you can overcome these stumbling blocks by leveraging new automation technology designed specifically for Data Vault development, and the upfront process planning you can do to further increase your time to value.

Interested in learning more? Download Dr. Devlin’s Meeting the Six Data Vault Challenges white paper below.

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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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