Free Lesson
4 Reasons Good Data Recommendations Fail in Practice
30 min
Sep 24, 2026 12:00 PM
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What you'll learn
Navigate the biggest friction points stalling your impact
Learn 4 common recommendation blunders that derail progress - and how to avoid them.
See where your current projects are vulnerable
Use a simple diagnostic map to check your ongoing work for hidden gaps before presenting to leadership.
Uncover patterns from 45+ practitioner discussions
See what data professionals reveal as the biggest hurdles to turning great analysis into business decisions.
Why this topic matters
One of the most difficult feats for data professionals to accomplish is getting great ideas across the finish line. The data team speaks one language, while non-technical stakeholder speak another. Competing priorities make it hard for data folks to ground their analysis in business-relevant stories that drive change. Let's diagnose the reasons why this happens so we can pave the path to better business decisions.
