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Enhancing your data team with ours
Our consultants come armed with both technical and soft skills to support you to make the most of your data.
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
Emerging Partner of the Year
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EMEA
Tableau
Community Impact 2024
EMEA ESMB
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Data for Good Champion
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Finalist
Alteryx
Partner of the Year
Europe
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Data for Good Champion
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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.
Tue 01 Sep 2026 | Holly Andersen
Custom Bar Charts for Infographics in Tableau
In the final week of Data School training we were asked to create an infographic. This gave me the idea to spend some time experimenting with Tableau techniques that might make a standard but useful chart more fun
Tue 01 Sep 2026 | Mariia Pushkarova
Not Only Stars Fall from the Sky. From Initial Idea to Final Visualization
Not so long ago, my colleague Janina invited me to share the journey behind my latest Viz, from initial idea to completion, in her Design Workshop. It was really interesting for me to reflect on how I created it and the steps I went through along the way
Mon 31 Aug 2026 | Jorge Sempere
Flight Delays/Cancellations Data Modeling (Dashboard Week: Day 1)
Task
Find a publicly available dataset online and use it to build out a data model. Load the dataset into Snowflake, and then publish a Tableau Published Data Source to Tableau Server.
My Plan
I selected a dataset containing U.S. flight delays and cancellations from 2015
Mon 31 Aug 2026 | Stephanie Pichardo
From Raw Open Data to Analytics-Ready Models: Restructuring NYC Restaurant Inspections
Dashboard Week began today with a challenge to find a dataset, remodel its structure, and publish as a Tableau Published Data Source. For this challenge, I took on the NYC Restaurant Inspections Violations data - quite a wide table, spanning 27 fields and 300k fields
Mon 31 Aug 2026 | Sean Fei
Dashboard Week Day 1: Advanced Data Modeling
Kicking off Dashboard Week with a blast!
Today, our project consisted of:
1. Choosing a dataset of our choice
2. Creating a Excalidraw Sketch
3. Cleaning the Data/ Uploading into Snowflake with DDL/DML
4. Connect to Snowflake using Tableau Desktop and building our logical data source
5
Mon 31 Aug 2026 | Ping HIll
Dashboard Week Day 1: Advanced Data Modeling
This was our first day of Dashboard week and today we were tasked with choosing a data source of our liking ( with a dimensions, rows, date, hierarchy, and 1k+ rows), building a schema, and utilizing snowflake DML/DDL to split the data into fact and dimension tables
Mon 31 Aug 2026 | Carla Villafana
Dashboard Week- Day 1
Today was our first day of dashboard week, focused on data modeling and schemas in Snowflake and Tableau!
Here are some general tips to consider:
1. Ask for help ASAP! - You will only have a few hours to plan, troubleshoot, and prepare for your presentation
Mon 31 Aug 2026 | Gerard Najarro
Dashboard Week: Day 1
This project asked us to pick a real dataset, model it into fact and dimension tables, load it into Snowflake, and eventually publish it as a Tableau data source, with a user story driving the decisions along the way
Mon 31 Aug 2026 | Stefani Hermanto
Dashboard Week Day 1 - Data Modeling
Today, my cohort kicked off Dashboard Week strong... without a dashboard! Our task for Day 1 was to create a data model using a dataset of our choice. By the end of the day, we were to split our dataset into fact and dimension tables, load it into Snowflake, and publish it to Tableau Server
Mon 31 Aug 2026 | Vivek Patel
dbt Fundamentals: What Is dbt and Why Does It Matter?
If you've worked around data, you've probably heard someone say:
"We'll just build a dbt model for that."
And if you're not a data engineer or analytics engineer, you might be thinking:
What exactly is a dbt model? And why do we need one?
Let's break it down
Mon 31 Aug 2026 | Marcus Rocco
The First Step in Designing a Dashboard: Understanding User Stories
As a data analytics consultant, my job is not just to analyze data. It is also to determine the best way to turn that data into something useful for the people who need it
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