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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

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.

Thu 15 Jan 2026 | Vivien Lee
Sketching a Story - Planning Data
In week two, whilst we were having fun learning how to use Tableau and Tableau Prep, we also learnt lots about the importance of planning. What's going to be the best approach when it comes to our first client project? We should probably start with a plan

Mon 26 Jan 2026 | Jacob Aronson
How Spread Out is my Data? Pros and Cons of Different Dispersion Metrics
Analysts typically summarize the distribution of a dataset using three kinds of metrics: center, shape, and spread. The center of a dataset is typically quantified by measures of central tendency, such as mean and median

Mon 26 Jan 2026 | Bethany Haysom
Some Stats You Should Know
As Data Consultants our job is to take raw data and create understanding and insights from it. When doing this, statistics are a useful method of analysis, using mathematical techniques to help interpret and present data in a useful way.
There are two main types of statistics

Mon 26 Jan 2026 | Kib Cheung
Dashboard Week Day 1: TFL Bike Point APIs
Day 1 of Dashboard Week: TFL Bike Point APIs! 🚲 I tackled API parsing in Alteryx and overcame spatial hurdles in Tableau by linking station parameters to buffer zones via FIXED LODs. I focused on clean design, using colour to distinguish start and end points

Mon 26 Jan 2026 | Aisha Senkubuge
Dashboard Week Day 1: BikePoint API
The Brief
Day 1 of Dashboard Week started with a challenge of using Transport for London's Santander Cycle Bike Point API. The task involved building an interactive journey planning dashboard to help users find available bikes and empty docking stations across London
Want to know more?
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