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Our consultants come armed with both technical and soft skills to support you to make the most of your data.
Photo of Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
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$ from null
Emerging Partner of the Year
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
EMEA
Community Impact 2024$ from Tableau
Tableau
Community Impact 2024
EMEA ESMB
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Finalist
Best Data Academy or Skills Development$ from DataIQ
DataIQ
Best Data Academy or Skills Development
Finalist
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
Europe
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Champion

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 19 May 2026 | Stephanie Pichardo
What's in a Row of Data? A Beginner's Guide to Granularity
A fundamental concept in data that can easily be taken for granted is granularity. Granularity refers to the combination of data fields/columns that makes each individual record/row unique.  Imagine one day you’ve decided to take a break from your data and walk on a beach
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Mon 18 May 2026 | Aronas Zilys
Key Snowflake Pipeline Concepts and Their Use Cases
Recently, I worked on building an automated end-to-end ELT pipeline using Snowflake and Amazon Web Services S3 to process event-level website analytics data from the Amplitude Export API
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Mon 18 May 2026 | Jude Royall
Window Functions in Tableau
In tableau, a window function is a table calculation that allows you to perform calculations over a defined range of rows (a "window").
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Mon 18 May 2026 | Mila Kholodiy
Choosing the Right Date Functions in Tableau: ISO vs. Gregorian
A clear, practical guide to handling dates in Tableau by choosing the right calendar system. It explains when to use Gregorian versus ISO functions.
Fri 01 May 2026 | Holly Andersen
Draft - St Paul's Blog
The process of making an animation to show the changing seasons around St Paul's in Tableau.
Mon 18 May 2026 | Carla Villafana
What Stuck With Me: Application Process Thoughts + Tips
Going through the Data School Application process felt like they were breaking me apart and rebuilding me. To be frank, that feeling still holds true. Here are a couple of things that stood out to me as an applicant, along with some useful tips to keep in mind if you are applying.  1
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Mon 18 May 2026 | Mila Kholodiy
Tableau Prep Data Preparation Steps - Why Do We Need To Clean Data?
Learn why do we need to prepare data and how to do it using Tableau Prep.
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Mon 11 May 2026 | Oscar Kriebel
Stay on the Radar: Making Radar Charts in Tableau
In a recent Makeover Monday, I ended up with a specific chart in mind. It was a type of radar chart, being closer to a type of line chart that was wrapped around a central point, rather than focusing on the area it contains
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Sun 17 May 2026 | Ping HIll
Context is Key: How to Research Companies and Stakeholders
I just completed my first week at The Data School, and I’ve already learned so much regarding clients and stakeholders
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Wed 29 Apr 2026 | George Rycroft
Moving Averages: Examples, Their Uses, and the Underlying Window Calc.
When analysing data over time, line charts can often look messy and have sharp fluctuations. Moving averages allow you to smooth out fluctuations and highlight longer term analysis. In this blog, I’ll show how to build moving averages in Tableau and explain when to use them
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Wed 29 Apr 2026 | Vaishnavi Shankar
Custom Number Formatting in Power BI
In Microsoft Power BI, you can use DAX to define custom number formats, allowing you to control exactly how values appear in your reports. This is especially valuable in dashboarding, where clear, consistent and easy-to-read KPIs make a big difference
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Tue 12 May 2026 | Kate Loder
Conditional Formatting in Power BI (using AverageX)
Power BI becomes especially powerful when you move beyond simple aggregations and start combining iteration functions with dynamic visual formatting. One of the best examples of this is building a scatter plot that automatically highlights performance categories using measures such as AverageX

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