Hi, my name is Bruna Guglielmi and I’m from Cohort 26. I will write about last Friday when we had an Alteryx Week challenge as our presentation topic.
The idea was to present a workflow, and we had 5 minutes to talk about it. Since we only had one class that week about Alteryx, Shane (our coach) assigned an individual challenge for everyone in our cohort. It wasn’t a particularly complicated challenge, and we were pleased that everyone finished their task and had some time to prepare for the presentation.The feedback I received during my presentation was to use a real-life example to help everyone understand the data more clearly. This approach would have also helped me grasp the data better.
Below, you can see the challenge I worked on for my presentation. At first glance, it looked really simple, but I actually took my time to understand the two input datasets because the naming was confusing to me. In this case, the client ID and request number were the same, so we could perform a join on that column. However, when I saw “Professionals/Customers evaluating the Client,” I got a “what????” reaction.
A good real-life example I came up with was: “In a consulting firm, we have clients and consultants who work with them. This analysis could be used to see how the consultants feel about working with their clients.” In the dataset, “Clients” would be the same as “Clients” in my real-life example, and “Professionals/Customers” would represent the consultants.
From a tool usage and workflow organization perspective, I didn’t receive any feedback on my tool choices. I’m happy with the results, considering what we had learned. I didn’t use any tools unnecessarily, and I kept the workflow concise, making it efficient.
However, I did receive feedback on my comment box naming. I had named them things like “cleaning data,” “question 1,” and “question 2.” During the presentation, I found myself scrolling back to read the questions and explain them.
After the feedback, I realized it would have been clearer if I had pasted the question itself into the comment box and added details about the data cleaning process in the first comment box. That way, it would have looked something like this:
I’m really enjoying using Alteryx; it’s indeed a powerful tool that I wish I had learned and had access to earlier. It’s amazing how quickly you can transform your data and get exactly what you want. I also found the presentations fun and received a lot of valuable feedback from watching others present. There’s so much I can apply to improve my own presentation skills. The second week of Data School was just as good as the first one—it keeps getting better! Haha.
Thanks again for taking the time to read my blog 🙂