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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
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
Data for Good 2021$ from Tableau
Tableau
Data for Good 2021
EMEA

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.

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Wed 11 Mar 2026 | Tomo Mensendiek
Reg Ex 101
This blog will cover 1) why use Regular Expressions? and 2) how to use Regular Expressions? 1) Why use Reg Ex? Say you had data about sofa listings online. You had the sellers name, product name, and the description that the seller left
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Tue 10 Mar 2026 | Shivam Wadhia
Power BI Vs Tableau
Before diving in, it’s worth saying that there are many reasons why an organisation might choose Power BI over Tableau, or vice versa. Factors such as cost, existing technology stacks and organisational expertise all play a role
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Wed 11 Mar 2026 | Britt van der Poel
Using Parameter Actions and Calculated Fields for Quadrant Analysis
Parameter actions are one of Tableau's most powerful features. In the walkthrough below, I'll explain how you can use parameter actions and calculated fields to tell a story with your data
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Wed 11 Mar 2026 | Roshan Desai
Workout Wednesday 2025 W37 – Adding a Baseline Bar in Power BI
This week’s Workout Wednesday challenge focuses on a really practical reporting problem: how to show a baseline inside a bar chart as if it were just another category, rather than using a standard reference line
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Wed 11 Mar 2026 | Nicola Huetz
Designing for Flexibility: My Approach to #WOW2025 Week 34
2025 Week 34 | Build a Dynamic TopN report / Power BI, Workout Wednesday / By Juliana Smith
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Wed 11 Mar 2026 | Harry Singler
Building a Premier League Stats Dashboard in Tableau
This week I started building a football dashboard in Tableau looking at goal contributions in the Premier League. I used public player and appearance data, starting by unioning the appearances.csv and players.csv files, with player_id as the relationship between them
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Wed 11 Mar 2026 | Britt van der Poel
How to Create a Drill Down with Set Actions
Drill downs are great for reducing visual clutter and engaging the end user to interact with the dashboard. They can be built using either Set or Parameter actions – in this blog I'll walk you through creating a drill down with Set actions. 1
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Tue 10 Mar 2026 | Tobin Hardy
ALLEXCEPT in DAX (Power BI)
The DAX functions, ALL, ALLSELECTED, and ALLEXCEPT can be thought of as sisters, as while they may look and behave somewhat similarly they are all unique in their own way. ALLEXCEPT was the first of these sisters (functions) I came across. Let's look at what makes her stand out from the rest
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Wed 11 Mar 2026 | Martin Regan
Baseball Analytics in Python: Part 3
Welcome to part 3 of my blog series about analysing baseball data in Python to help us find the best value players for our fantasy baseball team. Click on my profile on this page to see parts one and two. Today we'll be creating our own "fantasy score
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Wed 11 Mar 2026 | Fotiana Yan
The Time-Saving Trick: Creating a Power BI Date Table
In Power BI, source data rarely includes a comprehensive Date Table by default. Often, datasets only contain "transactional dates," which are prone to gaps, such as missing records for weekends, holidays, or days without sales activity
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Wed 11 Mar 2026 | Bethany Haysom
A Proof of Concept in Power BI
A project involving gathering data and creating a proof of concept dashboard using Power BI.
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Fri 27 Feb 2026 | Ellie Kershenbaum
Put Your Tableau Skills on the Map
When I first applied to The Data School, map charts immediately caught my attention. They looked visually impressive and felt much more interactive than the charts I was used to building

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