Webcast: Learn How to Become a Productive Data Superhero!

Save your team from the frustrations of prolonged, rigid data project timelines. Explore how to accelerate the delivery of business value and shorten time-to-insight. We will explain how Data Vault methodology and WhereScape’s innovative approach spark productivity in data teams. Don’t miss this opportunity to streamline data management using Data Vault principles and this powerful automation tool, empowering you to become the data superhero that your organization needs!

What You’ll Learn:

  • Understand the benefits of a Data Vault in a modern data architecture.
  • Discover the seamless integration of Data Vault methodology with WhereScape to uncover the benefits for your data projects.
  • Unlock WhereScape’s productivity multiplier effect by utilizing its flexible workflows to significantly accelerate project timelines and enhance team efficiency.

Neil Strange – CEO and Founder – Datavault
Paul Watson-Gover – Senior Solutions Architect – WhereScape

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Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

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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

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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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