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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 14 Nov 2025 | Kib Cheung
Data Prepping in Alteryx, Tableau Prep, and PowerQuery
I tackled a data prep challenge in Alteryx, Tableau Prep, and PowerQuery to see how each tool handles filtering, aggregating, and ranking top items. From Alteryx’s simplicity to PowerQuery’s M-code quirks, this experiment showed each tool’s strengths—and my growing preference for Alteryx

Thu 13 Nov 2025 | Olivier Newman
Snowflake intergrations.
A classic data engineering task is to connect different systems together, in this blog we will run through the process of setting up the intergration of Snowflake with an S3 bucket. This will enable us to populate our snowflake instance with the data which we have in an S3 bucket
Thu 13 Nov 2025 | Lorraine Ferrusi
Data Engineering Training Week 2
To read a more detailed account of the first week, check out the previous blog. In summary, the first week focused on the fundamentals of data engineering, providing a hands-on introduction to the stages of a data pipeline and how they interact to support evolving business needs

Fri 14 Nov 2025 | Aisha Senkubuge
My First Client Project Experience
This week marked our first client project which was an internal client where a coach, Robbin, acted as the CEO of PrepAir, a fictional airline company. The project came with four key objectives which were understanding customer satisfaction, HR performance, sales pricing, and operational decisions


Thu 13 Nov 2025 | Alfie King
Understanding CI/CD: What is it?
We’ve all heard the abbreviation CI/CD, but until recently, I didn’t really know what it meant.
When I started the Data Engineering Extension course, the term kept coming up, and I found myself a little unsure about what it actually referred to

Thu 13 Nov 2025 | Otto Richardson
GitHub Actions and Getting Started with YAML for Orchestration
As Data engineers a common challenge once your code is set up to extract and load data is that you need it to run repeatedly to keep data fresh, for example, scheduled at night when server capacity is available

Thu 13 Nov 2025 | Toby Horne
Reverse ETL Explained
In the Data Engineering Lifecycle, we typically focus on Extraction, Transformation, and Loading (ETL) or Extract, Load, and Transform (ELT). These traditional processes are designed to move raw data into a central repository, like a Data Warehouse, where it can be analysed
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.


