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Our consultants come armed with both technical and soft skills to support you to make the most of your data.
Photo of Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
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$ from null
Emerging Partner of the Year
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
EMEA
Community Impact 2024$ from Tableau
Tableau
Community Impact 2024
EMEA ESMB
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Finalist
Best Data Academy or Skills Development$ from DataIQ
DataIQ
Best Data Academy or Skills Development
Finalist
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
Europe
Data for Good Champion$ from DataIQ
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.

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Fri 21 Aug 2026 | Holly Andersen
PitchSide Pro: Planning Before Building
This project began with a fictional stakeholder brief for PitchSide Pro, an online sports retailer. The aim was to create an executive overview bringing together website traffic and sales performance, while allowing users to investigate patterns by season, channel, region, product and customer
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Fri 21 Aug 2026 | Ben Hayward
Dashboard week prologue
To finish off refresher week, we completed a two-day dashboard week project focused on PitchSide Pro, a global e-commerce retailer specializing in football kits, national team gear, boots, and fan culture collectibles
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Fri 21 Aug 2026 | Sophie Yeung
Pitchside Pro - "Two days of fun"
As part of refresher week, we were given synthetic data related to a global e-commerce retailer specializing in football merchandise - Pitchside Pro
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Fri 21 Aug 2026 | Amelia Young
PitchSide Pro Project
PitchSide Pro Project for DS58's Refresher Week
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Fri 21 Aug 2026 | Jude Royall
PitchSide Pro - Power BI
Project and Brief For this project, I was creating a dashboards in Power BI for PitchSide Pro
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Fri 21 Aug 2026 | Hayfaa Yaser Qays Al-Sheikh Hamid
6 Things I Learned From My First Time as Project Manager
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Wed 19 Aug 2026 | Jalil Cooper
My First Experience as Project Manager
At the time this blog post is being written, I am halfway through our first external client project as project manager (PM)
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Tue 18 Aug 2026 | Bianca Beingolea-Joseph
LLMs Have a Data Problem—and It’s Not Just Quality
Ask ChatGPT Which human languages do you work best in? and it will output a list that should surprise no one: English takes the lead, followed by Spanish, Portuguese, French, and German all in the top five
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Tue 18 Aug 2026 | Skyla Patterson
Tableau Table Calculations: Using LAST()
LAST() is a helpful function for understanding the position of data, and only seeing certain data in the view. This blog will go over how to use LAST() in Tableau by providing a definition, general walkthrough, and detailed example of LAST() being used for a YoY KPI
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Tue 11 Aug 2026 | Dylan Serino
Alteryx vs. Power Query vs. Tableau Prep
Tableau Prep, Alteryx, and Power Query are all visual, low-code canvases to clean and reshape data, but each one is anchored differently. Prep feeds into Tableau, Power Query feeds into Excel and Power BI. But, Alteryx doesn't care what the output is used for afterward
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Wed 19 Aug 2026 | Ping HIll
Scraping the NYT Books API with Alteryx: Unpacking Nested JSON
Today, I will walk through how to scrape the NYT Books API using Alteryx. NYT publishes bestseller list data via API, but it comes back as deeply nested JSON.  This tutorial walks through unpacking it with Alteryx's JSON Parse tool without writing custom code.  First, go to https://developer
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Wed 19 Aug 2026 | Helena Reichenvater
Floating VS Tiled Containers
Dashboard containers are a good way of making sure your dashboard stays organized and accurately reflects your dataset. While you may at first opt for floating containers due to the freedom they offer users, they can be difficult to maintain as your project evolves

Want to know more?

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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.

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