As you may know or may not know, with a week of exposure to Alteryx, we will be doing a presentation on the Friday. Alteryx presentation is somewhat different to a typical presentation with Tableau where we can show all the fancy charts and graphs. With Alteryx, we will present the workflow that we created on the day and explain the tools we used to achieve the result. Below is what I presented:

Do not worry if you are not yet familiar with some of the tools, you will know them very well after a week’s training. What I did during my presentation was that I went through each tool in the workflow explaining what I did in detail. My explanation was very thorough, but I ended up with spending too much time explaining everything and eventually making my audience lose interest. Sound like what happens in many lectures in University, right?

So, here are my tips for you:

  1. Be concise when explaining tools: the audiences do not need to learn and understand how this tool works. All you need to mention is what you achieved using the tool. If any audience is interested in how this tool works, they can ask during Q&A or after your presentation.
  2. Identify interesting topics to create interactions with audiences: find something interesting and throw a question to your audiences, let them guess or discuss. Interaction with audiences could easily grab the attention back from your audiences easily and make your presentation more interesting. For example, in my workflow where I need to identify a combination that works from a huge number of possible combinations, I could ask my audiences “Take a guess how many possible combinations are there? Anyone?” And then give the answer, which in my case was 81 million. This also shows the computing power of Alteryx.
  3. Consider storytelling: it is important for a presentation to have a scenario and use case. Think about it and add it into your introduction.
  4. Look at your audiences when you are talking.

Lastly, be confident and remember to introduce yourself at the start of presentation.

The Data School
Author: The Data School