2026 ins & outs (data edition)

In this episode of The View on Data, Faith, Ric, and Jerrie discuss their intentions for the new year, focusing on what is in and out in the data world. They emphasize the importance of simplification in data processes, the need for strong documentation, and the value of making learning engaging. The conversation also touches on the pitfalls of over-engineering and the importance of embracing technical challenges. Takeaways: -Simplification is key in data work. -Strong documentation enhances understanding and collaboration. -Learning should be engaging and relatable. -Over-engineering complicates processes unnecessarily. -Embracing technical challenges is essential for growth. -Curiosity and the willingness to learn are vital in the workplace. -Making work fun can improve productivity and morale. -Frameworks help in organizing and simplifying workflows. -AI tools should assist, not replace human thought. -It's important to communicate clearly and avoid jargon. Chapters: 00:00 Welcome to The View on Data + Meet the Hosts 01:02 New Year ‘Ins & Outs’ for Data 02:01 What’s In: Simplify Everything (and Use AI to Get Unstuck) 05:24 Frameworks & Workflow Cleanup: One Team, One Process 06:50 What’s In: Make Learning ‘Gossip’ (and Make Work Fun Again) 13:00 What’s Out: Over-Engineering & AI-Generated Bloat 16:55 What’s Out: ‘That’s Too Technical for Me’ + Embrace ‘I Don’t Know’ 23:34 Wrap-Up: Share Your Ins & Outs