Why Armies of Analysts Can't Solve the Dashboard Problem


Why do organisations hire armies of data analysts to develop dashboards and then ignore everything they produce?

It's not poor data quality.
It's not technical limitations.
It's not even bad design - OK, sometimes this is also true.

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:

  1. The number one reason why dashboards fail [01:15]
  2. The three-bucket framework that transforms dashboard development [04:06]
  3. How to salvage an already-built dashboard [07:12]
  4. The simple wireframing technique that opens doors to meaningful user conversations [10:08]

Start building dashboards people actually want to use.

🎧 Listen now on Apple Podcasts or Spotify, or click the link below:
Episode 71: Why Most Dashboards Fail and How to Fix Yours

Talk again soon,

Dr Genevieve Hayes

First published: July 9, 2025

Data Science Impact Algorithm

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.

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