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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

Alteryx
Partner of the Year
EMEA

Tableau
Community Impact 2024
EMEA ESMB

DataIQ
Data for Good Champion
Finalist

DataIQ
Best Data Academy or Skills Development
Finalist

Alteryx
Partner of the Year
Europe

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 31 Mar 2026 | Jacob Aronson
Developing a Star Trek Dashboard Part 1: Data Collection and Pre-Processing
For all of the analytical experience I have collected over my first three months of Data School training, I have not had the opportunity to take my time on a longer term project that applies everything I have learned so far

Tue 31 Mar 2026 | Arushi Pant
Tableau Prep VS R Series Entry 1 - Week 6 Challenge
I’m excited to kick off a new series comparing the data preparation workflows of Tableau Prep and R.
First things first: What is R?
R is a programming language specifically designed for statistical computing and graphics

Tue 31 Mar 2026 | Vaishnavi Shankar
Understanding similar but slightly different functions In Tableau Desktop
I’ve broken down several scenarios to make working with functions simpler. This includes functions that perform similar tasks but are used in different situations, along with why you would choose one over another and practical examples for context.
1

Fri 27 Mar 2026 | Oscar Kriebel
Alteryx-bots, Roll Out : An Introduction to Transformations in Alteryx
In a few weeks, my cohort and I (along with Kib and Tyler from DS54) will be presenting two different day-long sessions here at The Information Lab in London. One is on how to use Tableau and the other is on how to use Alteryx


Mon 30 Mar 2026 | Laura Brylka
The five qualities of great vizualizations according to Alberto Cairo
Recently, our cohort explored the amazing books available to us in The Information Lab library. One particular book caught my eye: The Truthful Art by Alberto Cairo.
Cairo is one of the big names in the field


Mon 30 Mar 2026 | Elda Ketena
Understanding Level of Detail (LOD) in Tableau: A Simple Guide
When working in Tableau, you will often hear the term LOD or Level of Detail.
LOD expressions are very useful tools for analysing data, and are often found to be very confusing concepts.
But What is Level of Detail?
In Tableau, calculations normally depend on the dimensions in your view

Thu 26 Mar 2026 | Harvey Lloyd-Smith
Fixed LODs vs Self Join Aggregations In Tableau Prep
LOD (level of detail) calculations allow you to make calculations at a specific level of granularity. They enable more precise control over what level of detail the data is aggregated over. This is something which standard aggregations in Tableau Prep fail to do


Mon 30 Mar 2026 | Elda Ketena
Intro to Alteryx Functions
In Alteryx, formulas are used to clean data, format fields and find insights. In this blog I will go into more detail about the key formulas used and the some of tools in which they're used.
The tools where you would use formulas most:
Today I will be focusing on the filter and formula tool
Want to know more?
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