Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes.
What role do data model governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data?
As Euno’s CEO & Co-Founder, I joined host Richard Cotton on DataCamp‘s podcast to discuss:
→ The challenges of data model governance
→ The role of semantic layers in ensuring data trust
→ The emergence of analytics engineers
→ The integration of AI in data processes
And much more!
Catch the full episode on Spotify or watch here:
For a quick summary of key takeaways and the full episode transcript, check out DataCamp’s publication of the episode.
