> Okay, great, I get that. But how do you achieve it?

The key steps are to follow a clear level of detail, split code into CTEs, and avoid macros.

Your feedback would be amazing! It's brand new, so it's still a bit rough around the edges, and I would love to improve it ❤️🎉

As data professionals, we need to move a lot faster and spend more time engaging with the business. The only way to do that is by being more productive when handling technical work—and the easiest way to achieve that is by outsourcing it to AI.

Yes, one of the main focuses has been to write code that is both human-readable and easy for large language models to analyze.

> But why is that important?

#DataContracts #DataGovernance #DataEngineering #Analytics #DataManagement

The Starlight Data Framework is a starting point for great data management. How do you define ownership in your data org? Suggestions & feedback are highly appreciated!

🔗 starlightinsights.com/starlight-d...

✅ Align business and technical definitions
✅ Start small—focus on source & model contracts first
✅ Assign both primary and backup owners
✅ Adapt and evolve contracts as your organization grows

💡 Your comment matters!

With Data Contracts, you can clearly define expectations, standardize definitions, and, most importantly, establish true ownership over your data.

📌 Key takeaways:
✅ Define ownership for each data component
✅ Document everything—clarity beats assumptions

I invite you to join the discussion and share your experiences. Your insights are invaluable and could help many professionals navigate similar challenges.
🔗 Read the full article: starlightinsights.com/blog/2025-0...

#ITProjects #ProjectManagement #Leadership #CareerAdvice

In this piece, I unpack:
• Early warning signs in project cycles that deserve your attention.
• The critical impact of unresolved internal disagreements and dependencies.
• Effective strategies to confront these hidden challenges head-on.

🔗 Read the full article here: starlightinsights.com/blog/2025-0...

#DataManagement #BusinessIntelligence #Leadership #DataStrategy

I invite everyone to read and share your thoughts and experiences. Engagements and discussions are welcome! Let’s delve into these insights and turn our data departments from potential failure points into powerhouses of productivity and value.

💡 Highlights:
• Understand the deceptive tranquility of The Grace Period.
• Learn the critical distinctions between delivering and perceiving business value.
• Uncover strategies to maintain and boost developer productivity.

🔍 In my 12+ years in data management, I've seen too many data projects fail to deliver or even completely derail. This piece isn't just another post-mortem analysis; it's a proactive approach to understanding and avoiding the pitfalls that lead to a data department’s downfall.

I've devised a simple model, tried and tested as a communication tool for this exact conversation.

In my experience, this is the best way to explain IT slowdowns and secure buy-in for the right path forward.

I've formalized it in this article: starlightinsights.com/blog/2024-1...

😰 Do you find it hard to get buy-in on the right path forward?

I've been asked these types of questions throughout my entire career.

Answering these questions in a way that stakeholders understand and agree on a path forward has always been tough.

Dive in here: Starlight Data Warehouse Template starlightinsights.com/starlight-d...

Your feedback matters! What stands out? What needs tweaking? Share your thoughts in the comments—your insights can drive further improvement! 🚀

And there's more! To streamline your journey, enjoy a complimentary video series guiding you through setting up a data platform, step-by-step.

👉 While the framework itself is a commercial product, the video series is free for everyone.