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Richard Strange

Refactoring Data Vaults with Ontologies

By introducing ontologies into Data Vault design, teams can restructure evolving models to maintain shared meaning and reduce semantic inconsistency over time.

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Improve your Data Vault structure

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Match your data to business meaning

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Adapt more easily and enrich metadata

Introducing the Presenter

Richard Strange

Doctoral Researcher at the Department of Earth Sciences at the University of Oxford

Richard Strange is a Doctoral Researcher at the Department of Earth Sciences at the University of Oxford, where he is creating AI models to better forecast volcanic eruptions, and create the unified datasets that feed them. He is also a Certified Practitioner in Data Vault.
He is responsible for platform and data management for the Frontier Development Lab initiative (http://fdl.ai/), a collection of NASA and ESA state-of-the-art AI research projects, and have authored several papers including a NEURIPS Best AI Paper in Climate publication through the organisation.

Refactoring Data Vaults with Ontologies

It’s a question bounced across the boardroom tables around the world… how can we turn out information contained in a data platform into meaningful business intelligence and insights, and more importantly how much will it cost.

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