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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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Mon 23 Mar 2026 | Ellie Kershenbaum
Tableau Fundamentals: Sets and Parameters
Sets and parameters add flexibility to dashboards and often power some of the less obvious interactions behind the scenes. They enable dynamic filtering, user-driven analysis, and responsive visual elements without requiring complex redesigns
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Wed 18 Mar 2026 | Ellie Kershenbaum
Enhancing My iNaturalist Tableau Dashboard with Image URLs
For my latest Tableau dashboard, I sourced data from a platform called iNaturalist, where users upload images and observations of wildlife they encounter. To keep the dataset manageable, I filtered the records to include only observations from London between 2024 and 2025
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Mon 23 Mar 2026 | Francesca Plaskett
Completing 1 Data Prep Challenge in Tableau Prep, Alteryx and Power Query
Explore how simple data preparation steps vary across platforms using the 2023 - Week 1 Preppin' Data challenge.
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Mon 23 Mar 2026 | Aschraf Aouina
Mastering the Dashboard Sketch: A Strategic Guide to Stakeholder Presentations
Is there a "perfect" way to present a dashboard sketch? The short answer is no. Your audience changes, your requirements shift, and the setting varies. The real challenge lies in balancing the needs of technical and non-technical stakeholders
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Sun 22 Mar 2026 | Oliver Furtak
Reflective Backlog - The first 3 weeks at The Information Lab
Time Flies Since starting at The Information Lab’s Data School, time has absolutely flown by. The sheer number of impressions and experiences accompanying my workday has left a bit of chaos in my head
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Sun 22 Mar 2026 | George Chachkes
Intro to APIs in Alteryx
APIs (Application Programming Interfaces) are tools that allow different pieces of software to communicate with each other. Most websites have their own APIs, which makes it much easier to extract data once you know how to connect to them
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Sun 22 Mar 2026 | Durkka Rajasegaram
SUM() vs SUMX() in Power BI: What's the difference?
Explanation of the fundamental concepts behind the SUM() and SUMX() functions in Power BI, and how they differ.
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Tue 17 Mar 2026 | Britt van der Poel
Creating a Data Scaffold with Recursive CTEs in Snowflake
Recursive CTEs (Common Table Expressions) function as any ordinary CTE, with the additional functionality of referencing itself – hence 'recursive
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Thu 19 Mar 2026 | Laura Brylka
Zeilen- vs. Spaltenbasierte Berechnung in Tableau
Wann und warum ist es wichtig, ob wir spalten- oder zeilenbasiert berechnen? Wenn wir mit tabellarischen Daten arbeiten und z.B. Prozentsätze berechnen wollen, ist es wichtig zu verstehen, auf welche Art und Weise wir das tun, um keine Fehler zu generieren
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Wed 18 Mar 2026 | Francesca Plaskett
Back to Basics: Aggregating in Tableau Prep, Power Query and Alteryx
This blog walks through the steps of aggregation across multiple data preparation platforms.
Mon 16 Mar 2026 | Holly Andersen
Spatial Functions in Tableau
An introduction to some common spatial functions in Tableau.
Mon 16 Mar 2026 | Holly Andersen
Type Conversions in Tableau
When working with data in Tableau, fields can have different data types, such as strings, numbers, dates, or Booleans. Sometimes the format of a field isn’t quite what you need for your analysis. This is where type conversion functions become useful

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