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Neil Strange

5 most common challenges with Data Vault modelling

A selection of challenges were covered by Neil in this presentation, ranging from complex issues to the simplest misconceptions that occur when engaging in a Data Vault method. The reality of implementing a Data Vault was addressed with solutions from bottom-up modelling to improving communications. The value of business engagement in the model is examined in depth. Real world examples were used to create some key takeaways.


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Risks of starting without a plan

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Avoid “modelling to the extreme” complexity

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Hub vs. Link Confusion

Introducing the Presenter

Neil Strange

CEO & Founder of Business Thinking Ltd.

Neil is chair of our Data Vault User Group and an globally acknowledged guru on the use of the Data Vault 2.0 method. He has advised dozens of organisations on their use of the method.

Neil has over 30 years’ experience in management consultancy and is the founder and CEO of the consultancy business, Datavault. An acknowledged expert on successfully delivering data warehouse projects. Neil has worked across a variety of clients in different industries including the public and private sectors. Prior to being an entrepreneur, Neil worked as a managing consultant in Oracle and a Director of Arthur Andersen’s business systems consulting.





Common Challenges with Data Vault Data Modeling

In a recent webinar hosted by the Data Vault User Group, Neil Strange, Chairman of the group, shared his extensive experience and insights on the common challenges faced in Data Vault data modelling.

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