top of page

1-2-1 MindSpeaking: Tips for Data presentations, Speaking Concisely, Data Management

Updated: May 1, 2023



In today's edition, you will find:

  • 1 tip for Data & Analytics: six things successful Data Analysts don't do and do.

  • 2 MindSpeaking Podcast episodes: 1) Data Management; 2) Public Speaking

  • 1 Quote to reflect on: a tip on how to speak more concisely.


1 tip for Data & Analytics

Bad Data Analytics:

  • Jump into the data

  • Just deliver what people ask for

  • Don’t talk until the final meeting

  • Present technical details

  • Show fancy graphs

  • Focus on output

Good Data Analytics:

  • Ask questions

  • Challenge your stakeholders

  • Get early feedback

  • Tell a concise story

  • Use simple visualizations

  • Focus on outcomes


2 MindSpeaking Podcast episodes

Here are two fresh episodes. As always, I've included YouTube timestamps.

We talk about: how to implement a Data Governance program, how to become more outgoing as an introvert, and his journey in becoming a public speaker.





We talk about: burnout, journaling, and how to improve your presentation skills.






1 Quote to reflect on


“The more you leave out, the more you highlight what you leave in.”

—Henry Green

When you've analyzed all that data, you have so much to share. But what is your audience interested in?

Brevity is powerful. Communicating your insights concisely helps to make your message more understandable, more persuasive, and more impactful.

How do you do it?

I often use the below model in my training.







Before you start creating your presentation, write down:

What is your key message in 1 sentence?

This helps you decide what to leave out —

So that you can highlight more of what you leave in.

Thank you for reading.

Stay curious,

Gilbert

​P.S. Whenever you're ready, there are 3 ways I can help you:

  1. Discover your skill level in Data communication. Do the free self-test & get a personalized PDF report.

  2. Pre-register and get discount for my upcoming video course on Data Storytelling.

4 views0 comments
bottom of page