Aude Cazein

After completing a Msc in International Business Management at the University of Kent, Aude has been working for an e-commerce company as a Digital Performance Marketing executive where she used data on a daily basis. One of the funniest moments of her experience has been building dashboards to better grasp and interpret data from Google Analytics and from the business, first on Excel, then on Google Data Studio. She quickly knew that she wanted to go further in that area.

She immediately understood the possibilities of Tableau when she trained for the application process, and realised that with a little experience and time, she produced nice and meaningful dashboards. The Data School is a place she wanted to join since May 2018, for the quality of the training, the wide range of opportunities it allows you to have, and the team that has always been supportive and helpful.
During her free time, she likes watching TV series, working out and petting her cat.

Dashboard Week – Almost through.

Today is Thursday, which means that we have two more days to go. The challenge for today was to visualize the drought conditions in America. The data are available on US Drought Monitor and goes back to 2000. First work was to retrieve the data from the REST API. The...

Dashboard Week – Intro to Power BI

New day, new tool ! Today, Andy has challenged us to use Power BI to produce a dashboard on data from New Orleans. So I started by getting the data from the NOLA 311 API, cleaned it on Alteryx, changed the format for a more appropriate one - or so I figured - to be...

My First ‘Dashboard Week’ Day

This is my first day doing the famous Dashboard week with my fellows DS12... and the least I can say is that it is a great exercise to see how bad I am at time managing... ! . So it is 9.45AM and is it the starting point for us. The challenge for today is to create a...

Tableau : Behind the scenes

Using Tableau on a regular basis, dragging and dropping pills all around, we easily forget that is it not as simple and what the machine does behind the scene.