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The Data School has been paramount to our success at JLL. It has allowed us to bring in highly skilled Tableau and Alteryx consultants. It saves considerable time trying to recruit contractors as I know their skills and training are to the highest standard. Over the past 5 years my team has developed analytical insights which have generated multi million dollar savings of which a considerable amount can be attributed to the Data School consultants we have had working on projects.
Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
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Europe
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Data for Good Champion
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Data for Good 2021
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What our consultants are working on
We believe that sharing knowledge and expertise is key to driving innovation and growth in the data community. That's why we're excited to share our latest insights, tutorials, and industry trends with you through this blog.
Written by our team of experienced data consultants, these posts aim to solidify their own learning while giving back to the community.
Wed 30 Jul 2025 | Eliza Hokanson
Rebuilding a Real World Fake Data Retail Dashboard Using Tableau Next
As the kick off for Dashboard Week, our mission was to rebuild a dashboard in Tableau Next.
Here’s my original dashboard, built using Real World Fake Data earlier in training.
You can view it on my Tableau Public here
Wed 30 Jul 2025 | Gabriel Bryan
Dashboard Week: Tableau Next
For the first day of dashboard week, we were tasked with recreating an earlier dashboard (made in Tableau Desktop) using Tableau’s newest product, Tableau Next. The dashboard I recreated uses data from Real World Fake Data, and it’s all about consumer complaints
Wed 30 Jul 2025 | Miles Cumiskey
Dashboard Week Day 1: Tableau Next
Our challenge for the first day of dashboard week was to recreate a visualization we had done in Tableau Desktop in Tableau next.
This dashboard was focused on month-over-month comparisons, dynamic zone visibility, and filter actions
Wed 30 Jul 2025 | Amanda Rodriguez
Tableau Next: Recreating a Dashboard with Agentic AI
Tableau Next: "Agentic analytics that delivers personalized, contextual, and actionable insights everywhere work happens." But what does that even mean? Tableau Next is native to Salesforce, and gives users an opportunity to interact with an AI agent to ask questions of their Data
Wed 30 Jul 2025 | Brandon Traditi
Dashboard Week: Day 1
DSNY9 and I had the pleasure to have learned Tableau Next yesterday. So todays objective? Recreate our Real World, Fake Data Dashboards all the way back from Week 5.
Here are a few snapshots to paint a better picture of what I will be recreating!
Now into Tableau Next
Wed 30 Jul 2025 | Svetlana Brazukevich
How to build a sunburst chart with a gradient in Tableau?
Welcome to the the day three of the Dashboard Week, when every day I exprlore something new and create a dashboard
Wed 30 Jul 2025 | Birthe Claussen
Dashboard Woche Tag 3
Tag 3 der Dashboard Woche war eine Spotify Analyse basierend auf meinen eigenen Daten.
Bereits im Mai sollten wir bei Spotify unsere Historie anfordern und nun ist endlich der Tag gekommen, an dem wir sie auswerten sollten.
Der Tag selbst fing erstmal offline an
Wed 30 Jul 2025 | Erin Potter
How to Actually Test Your dbt Models (and Fix What’s Breaking)
Most dbt tutorials show you how to add a not null or unique test
Wed 30 Jul 2025 | Stefan Ladwig
Dashboardweek - Wednesday
Third day, third topic: Analyzing Spotify Data.
We requested our Spotify listening history which includes an entry for every song and time it was played including title, artist, album, timestamp and duration played among others
Wed 30 Jul 2025 | Gabriela Scherbinek
Dashboard Week - Tag 3
Heute hatten wir die Aufgabe, unsere zuvor angeforderten Spotify-Streamingdaten auszuwerten und zu visualisieren. Der Tag begann etwas anders als gewohnt: Unser Coach Peter sammelte zuerst alle Laptops ein, und auch unsere Handys mussten wir weglegen
Wed 30 Jul 2025 | Mariia Sapsai
Spotify project
Today we worked on our project with our own data from Spotify.
Below you can see what I did.
Today I had 2 challenges while doing this dashboard:
- First one was to figure out how to do this spiral chart (I think next time I will write a blog about this topic😃)
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