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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

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

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.

Fri 06 Feb 2026 | Sharon Orazulike
How to Utilise the Kitchens to their Full Extent
If you are like me, and you have never worked a 9-5 before, then you are in for a treat. And i mean literally, there are lot of treats in the office BAR/Kitchen on the 1st floor.
So how do you make full use of the kitchens you ask?
Well, lets back track a little
Thu 05 Feb 2026 | Ellie Kershenbaum
Aggregation and The Learning Process
After a months-long break from academic learning, I can safely say it is nice to be back in an environment where you are pushed to learn and grow.
This week we focused on data cleaning and preparation, something I have done many times in the past but never thought too deeply about


Fri 06 Feb 2026 | Mariia Pushkarova
My Mendix Learning Journey
I recently spent two weeks learning Mendix, and I want to share my experience. When I started, I had no real understanding of how the platform worked. Now I have a working application and, more importantly, a much clearer mental model of low-code development
Fri 06 Feb 2026 | Oscar Kriebel
A Busy Calendar? The First Week at the Data School
The first week at a new job is going to have its challenges no matter what. Even more so if it's your first 9-5 job in the big city! There's a lot to get caught up with, and a lot that you're going to be doing.
At least, that was my experience when I started at the Data School


Thu 05 Feb 2026 | Jacob Aronson
The Datasaurus 🦖: Why Data Visualization Matters
When diving into a dataset, it's easy to get lost in the numbers. Analysts rely on summary statistics like averages, standard deviations, minimums, and maximums to make sense of large, messy datasets. More often than not, these metrics are useful shortcuts to understanding the makeup of some data

Thu 05 Feb 2026 | Tomo Mensendiek
Dynamic Text Label
If you want the text in your label to change dynamically based on a condition, this is a simple way to approach it.
For example, take this chart below that colors the bar if the sales is over 800k.
On top of color, you want to add a text that says "Over" or "Under"


Thu 05 Feb 2026 | Fotiana Yan
How To Switch Dimensions and Measures with One Click!
To give your user the power to toggle between different dimensions and measures within a single view, you’ll need to leverage Tableau Parameters. Think of a parameter as a dynamic variable, be it a string, integer, or date that replaces a constant value in your calculations or filters


Thu 05 Feb 2026 | Sita Pawar
Generating Image Based Scatterplots in Python
While not as pertinent to quantitative analysis, plotting images as scatterplots offers a delightfully creative output for Tableau. Python's computer vision library can be used to analyze an image and generate a csv with generated x, y, and intensity values


Thu 05 Feb 2026 | Harry Singler
Making Makeover Monday Over (On a Thursday)
This week I rebuilt my Tableau Makeover Monday in Power BI. The end goal was the same in both tools: show the largest month to month shocks in gold prices, and let the user control what counts as a shock using a threshold parameter (I used 6%).
In Tableau, the build was straightforward
Want to know more?
Whether you're planning for the future or you have a project that needs to get started next week our team are more than happy to help.
Complete our contact form with your name, company email and a brief message and we will get back to you as soon as we can.

