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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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Thu 19 Mar 2026 | Tobin Hardy
Tableau: Build a dynamic Top N report
In my previous blog I created a dynamic Top N report in Power BI (Link to that blog). However, that got my wondering how different/easier creating this same report would be within Tableau
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Thu 19 Mar 2026 | Tobin Hardy
Power BI : Build a dynamic Top N report
Lets make a report which looks at our top selling products and includes a dynamic subtitle which updates based on our selected Top N products
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Thu 19 Mar 2026 | Roshan Desai
Learn What The Data School Learns
As part of our training at the Data School, we ran a “Learn What the Data School Learns” day where members of the public joined us to experience what life is like inside The Data School
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Thu 19 Mar 2026 | Roshan Desai
#WOW2025 Week 42 Dynamic Dimension Colouring
https://public.tableau.com/app/profile/roshan.desai/viz/WOW2025WK42/Dashboard?publish=yes This week’s Workout Wednesday explores a concept that feels simple on the surface but quickly becomes more interesting the further you get into it: dynamic dimension colouring
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Wed 18 Mar 2026 | Francesca Plaskett
Upgrading your heat map with charted distribution
This tutorial will take you through how to build an upgraded version of a heat map, perfect for calendar analysis.
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Thu 19 Mar 2026 | Aaron Holstein
Blurring: HowTo protect sensitive information in Pictures
Background TIL Germany is freshly ISO-certified. 🥳 ISO/IEC 27001:2022 demands technical measures to protect sensible information. One of these technical measure can blurring of areas in pictures, f.e., screenshots of our clients’ dashboards before attaching them to a company internal convo post
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Thu 19 Mar 2026 | Aaron Holstein
CTEs
What are they? CTE stands for Common Table Expression. Common Table Expressions are temporary data objects in SQL which present the result set of a defined query. CTEs can be referenced in other queries and exist only in the context of the query which defines them
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Wed 18 Mar 2026 | Shabnam Dost
Der Blick von oben: Wie du Tableau-Dashboards intuitiv anordnest...
Warum ist das Layout eines Tableau-Dashboards so wichtig...? 1. Horizontal vs. Vertikal Container Anordung, Best Practice und Besonderheiten: Merkmal Horizontal Container Vertikaler Container Anordnung Nebeneinander (links nach rechts à so wie das menschliche Auge liest
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Mon 16 Mar 2026 | Francesca Plaskett
Back to Basics: Joining in Tableau Prep, Alteryx and Power Query
Discover how to join in Alteryx, Tableau Prep and Power Query, and the differences between the platforms.
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Mon 16 Mar 2026 | Sharon Orazulike
NHS Prescription Dataset Archives 1: Power Query
Cleaning the data First, pick a dataset set from one of the numerous choices on the NHS website: https://www.nhsbsa.nhs.uk/prescription-data BE WARNED! These datasets have millions of rows, so, I would suggest only picking one month of data and working on that
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Thu 12 Mar 2026 | Oscar Kriebel
Alteryx or Prep: How do they compare?
In week six at the Data School, we started covering Alteryx for the first time. Alteryx is another data preparation software that is older than Tableau Prep
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Thu 12 Mar 2026 | Martin Regan
Baseball Analytics in Python: Part 4
Welcome back! In part 4 of my blog about analysing baseball data in Python, we'll be focusing on pitchers. We'll be re-using a lot of the code we wrote last week to get hitting statistics, and applying it to find good value pitchers for our fantasy baseball team

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