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Generating returns from a modern data infrastructure is tough. First, creating a central repository for easy data access requires much upfront, traditionally manual work to set up data ingestion, mapping, metadata management, etc. Changes in sources, tech stack, and taxonomies require more work. Or someone new comes on board and proposes building an entirely new model to answer the same business question. Typically, all this pushes the data team to take shortcuts to regain lost time, creating technical debt. In this webinar, we’ll explain how automation done right, following Data Vault 2.0 standards, will not only cut manual work but solve problems of agility, uncertainty, and output quality, to ultimately provide the return you expect. Learn about what can go wrong — and how to get it right.

Watch Webinar Recording

Webinar Agenda

1. Common pitfalls in data management.
2. How the problems were solved in the past: what worked and what didn’t
3. How Data Vault methodology combined with automation brings new solutions…
4. … And how this will save you time, and money.

Meet the Speakers

Michael Olschimke

Michael has more than 15 years of experience in Information Technology. During the last eight years he has specialized in Business Intelligence topics such as OLAP, Dimensional Modelling, and Data Mining. Challenge him with your questions!

Dirk Vermeiren

Dirk Vermeiren is CTO at VaultSpeed. His lifelong experience in data management stretches over 25 years. He used Data Vault as the driving methodology for building large data warehouses. Along this path, he was one of the driving forces behind a Data Vault automation framework that gradually evolved into the product: VaultSpeed.

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To support the creation of Visual Data Vault drawings in Microsoft Visio, a stencil is implemented that can be used to draw Data Vault models. The stencil is available at


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