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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

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Tableau
Community Impact 2024
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Data for Good Champion
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Alteryx
Partner of the Year
Europe

DataIQ
Data for Good Champion
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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.

Tue 04 Aug 2026 | Bianca Beingolea-Joseph
How to Build a Venn Diagram in Tableau
If you want to display the overlap between two distinct metric, a Venn Diagram is an obvious choice. However, Tableau does not natively allow for the construction of these. In this blog, I will walk you through how to create one

Fri 07 Aug 2026 | Joe O'Connor
Snowflake Native Automation -Streams, Tasks, and Stored Procedures
Snowflake has native features which can enable you to automate your workflow as new data gets uploaded, without using a tool such as dbt (although dbt's features make it far easier to manage, test and document the process)

Tue 04 Aug 2026 | Oscar Kriebel
What's that Coming Down the Track?: How to Make a Play-By-Play Football Dashboard
One of my hobbies is watching football, especially for my favorite teams of which the Georgia Bulldogs are my number one. And with the next season coming up, I thought it would be a fun challenge to try and represent the play by play of a game within a Tableau dashboard

Thu 06 Aug 2026 | Joe O'Connor
Pipeline Orchestration - Comparing Methods
Once you've created a data ingestion script and tested that it works, you need to be able to set it up to run automatically, rather than having to manually run it yourself every time (especially if you need to run at regular intervals or at a certain time of day in a production use case)

Thu 06 Aug 2026 | Sean Fei
How To Live Connect Google Sheets Data To Alteryx (Without Any Add-Ons!)
When connecting data from Google Drive to Alteryx, it's not always the smoothest process. Third party connectors or Google Drive/Google Sheets Tools can sometimes be used, but recently, I found an alternative workaround to pull my data every time my flow ran

Tue 04 Aug 2026 | Stefani Hermanto
How to Use "Update Value with Formula" in Alteryx Interface Tools (with Challenge #215 ⚡)
Alteryx Designer has many interface tools that provide user interactivity, but sometimes they can be difficult to understand. For that reason, I'll be guiding you through something I struggled with: the Update Value with Formula action type


Wed 05 Aug 2026 | Jalil Cooper
How to Compute Running Totals in Power BI
Running calculations are a very useful computation in the data world that have the power to sharpen or nuance your analysis. And, in this blog, I am going to illustrate step-by-step how to create a running calculation in Power BI

Thu 06 Aug 2026 | Elda Ketena
Notes to Self: How to Stop Freaking Out in Interviews
Nailing an interview isn’t about putting on a flawless performance it’s about preparation, self-awareness, and showing up as a calm, capable professional as well as being able to show your true personality behind all the nerves.
Here are some notes I recently took on how to ace an interview!
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Mon 27 Jul 2026 | Dev Bhatnagar
How Data Cleaning becomes more important than ever with AI
How AI Models Work: Garbage In, Garbage Out
At its core, an AI algorithm takes in training data (labeled or unlabeled) and uses that information to learn and grow. Inherently, whatever data an AI model is fed will dictate how it makes decisions
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