Your Data Isn’t Landing (and What To Do About It)

January 5, 2026

Three reasons data fails

1. Data lacks context.

Data on its own lacks meaning because it lacks context. If I say global investment in AI reached $189 billion in 2024, it’s meaningless without additional texture. Are we up or down? Is that significant in 2024? What’s the implication? What should you feel about the data?


You can give the number grounding by adding that it’s roughly equivalent to every person in the U.S. spending $600 on AI. You can then suggest the implication: what was once experimental has rapidly become essential infrastructure. Without context, the number itself is meaningless. With it, it becomes powerful.



When it comes to presenting data, every data point needs a clear So What.

2. Data is hard to process.

challenge increases when your audience isn’t as close to the data as you are, or when they’re non-technical.



Numbers aren’t inherently memorable. If you want buy-in or a decision, people need to understand and retain what you’re sharing. You can help that along by sharing a metaphor or walking through the information in bit sized pieces. 

3. Data doesn’t engage your audience emotionally.

Data doesn’t pull at heartstrings. While people like to believe they make purely rational, data-driven decisions, we’re far more likely to gain support and alignment when we engage people emotionally as well. 



When you’re sharing your data, your delivery (facial expressions, body language, projection, etc.) should make it easier for your audience to understand how you want them to feel.

To sum up

  • Get clear on your message and influence objective
  • Add context and meaning that align with your audience and desired outcome
  • Remove the clutter.


Curious about how to cut the clutter and make your data land? Story is one of the most effective ways to bring clarity and meaning to complex information. Join our webinar on January 22, 2026: Cut the Clutter: Turning Complex Data into Compelling Stories.

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