Why do organisations hire armies of data analysts to develop dashboards and then ignore everything they produce? It's not poor data quality. As Nicholas Kelly explained in the latest episode of Value Driven Data Science: "They don't deliver value." But here's what I found fascinating in our conversation - Nicholas has designed and developed dashboards for some of the world's largest companies, from global banks to Formula One teams. However, he started his career delivering "a tremendous number of dashboards that didn't deliver value and got ignored." So what changed? He learned to think like a product manager, not just a data analyst. In this Value Boost episode, Nicholas reveals proven strategies for increasing dashboard adoption and showcasing your value as a data professional. You'll discover:
Start building dashboards people actually want to use. 🎧 Listen now on Apple Podcasts or Spotify, or click the link below: Talk again soon, Dr Genevieve Hayes First published: July 9, 2025 |
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
How do you extract trustworthy insights from data you know has been deliberately manipulated? It's a challenge most data scientists never face. We're used to cleaning messy data, but deliberately manipulated data? That's completely next level. Yet if you're working with social media data, manipulation is the reality you're dealing with. Tim O'Hearn, a reformed social media hacker who generated millions of followers through bot manipulation, recently shared with me the harsh reality: "During...
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