Are Strict Data Conventions Helpful or Overkill?

- Get all of my free resources to help you learn: https://skool.com/moderndata/about - Work with me to modernize your data architecture: https://bit.ly/kdsconsulting Earlier this week I had a great conversation with a client about the classic topic of data conventions. Aka "best practices". More specifically, the pros and cons of being overly clear (and disciplined) with their decisions. At the heart of it, the discussion was rooted in questions like: - How strict do we *really* need to be with these rules? - At what point does it become overkill? - What's the realistic downside of not following them? My guess is you may also have similar questions from time to time. So that’s what I want to talk about in today’s video. And I’ll share with you the same feedback I gave my client. By the end, you’ll have a better idea of the pros/cons of implementing rules with your data process. And be able to apply them (or not) on your own team. Enjoy! Timestamps: 00:00 Intro 00:42 Context 01:25 Time Savings 05:32 Scalability 08:19 Excellence 10:36 AI 11:22 Final Thoughts