Skip to main content

Watch the Video


By loading the video, you agree to YouTube's privacy policy.
Learn more

Load video


In our continuous Data Vault Friday series, our CEO Michael Olschimke engages with a set of pertinent questions posed by our audience.

“How to deal with dirty data managed in BV? What are the best practices for correct data management? How can business rules, versions, and fixes be managed on correction properly?”

In this enlightening video, Michael addresses the challenges associated with handling dirty data within the Business Vault (BV) and explores best practices for effective data management. He dives into the complexities of managing business rules, versions, and corrections, offering insights into the proper approaches for ensuring data accuracy and consistency.

The video emphasizes a strict Extract, Load, Transform (ELT) approach, advocating for the application of data cleansing rules after loading the Raw Data Vault. Michael explains the rationale behind this methodology and highlights the advantages of maintaining a robust data flow.

For teams grappling with data quality issues and seeking optimal data management strategies, this video provides valuable guidance and practical considerations.

Meet the Speaker

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!

Get Updates and Support

Please send inquiries and feature requests to [email protected]

For Data Vault training and on-site training inquiries, please contact [email protected] or register at

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


Leave a Reply