Quality comes with a price.
Relevant data comes with a price.
New tools like Microsoft Fabric change the cost structure for data storage and processing, while tools like Copilot help us build solutions faster than ever. However, achieving perfect data quality remains elusive.

The Minimal Viable Data (MVD) approach is a starting point to address typical issues faced by organizations striving to become more data-driven.

Minimum Viable Data refers to the well-known concept of the Minimum Viable Product (MVP). It describes the data that is sufficient to make informed decisions. Usually, perfect data quality is not expected, but rather an adequate quality that is good enough.
The concept considers that local data, even if customized with Excel, often fulfills this requirement better than centrally provided data with objectively "good quality".

However there are still lots of reasons to replace local shadow IT and complex Excel with Self-Service Data Management for End-Users in Microsoft Fabric.

Key messages of the session:
- What is Minimal Viable Data, and why should we consider this concept?
- How does this fit into data strategy approaches like data mesh?
- Why Microsoft Fabric is a game changer for this concept? (and will be even more in the future)
- Showcasing a use case with the pitfalls and opportunities the approach offers, including self-service Lakehouses in Fabric