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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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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 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

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

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.
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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

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


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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