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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
Emerging Partner of the Year
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EMEA
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Community Impact 2024
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Alteryx
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Europe
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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.
Thu 01 Oct 2026 | Arushi Pant
My Reflections on using AutoML & Machine Learning in Fabric
What is AutoML?
AutoML stands for Automated Machine Learning and is a tool within Fabric that compares and executes models based on the input data and the desired outcome you want from your machine learning model. This is often used in conjunction with your data lakehouse hosted within Fabric
Thu 08 Oct 2026 | Hayfaa Yaser Qays Al-Sheikh Hamid
Regex
Regex, short for Regular Expressions, is a way of identifying patterns within text. Rather than searching for a specific word or number, Regex allows us to search for text based on its structure
Tue 06 Oct 2026 | Ben Hayward
PL-300 Managing and Secure PowerBI
This section of the exam accounts for 15-20% and covers Creating and Managing Workspaces and Assets, as well as Securing and Governing Power BI Items. In this blog I'll go over some of the important aspects that stood out to me
Mon 12 Oct 2026 | Ross Bennfors
How to Make a Hidden Side Bar: Dynamic Zone Visibility in Tableau
Dynamic Zone Visibility is a technique in Tableau used to customize views by controlling which sheets or containers are displayed. This can be achieved through parameter controls or by linking parameter actions to charts
Wed 14 Oct 2026 | Olivia Millar
Tableau Performance Optimisation: Filters and Controls
Filters can act as a double-edged sword in terms of performance. On one hand, they can be used to limit the volume of data passed to the view. Using filters ensures Tableau only queries and renders the exact subset of data required, and processing less data results in faster querying and rendering
Tue 22 Sep 2026 | Vivien Lee
Workout Wednesday 2026 W42 Solution
This is a step-by-step guide of how to create this week's challenge and the bonus challenge.
Challenge
So for the main challenge you need to create the table, the charts, and the info button bookmark.
Table:
1. Create the measure for the Fastest Lap per Race
Tue 13 Oct 2026 | Michael Lamprell
How to Build a Bump Chart
One fun and cool thing you can build with table calcs is a bump chart. Here's how!
For this walkthrough I am going to be using the Superstore dataset (clicking will download the dataset): https://public.tableau.com/app/sample-data/sample_-_superstore
Tue 13 Oct 2026 | Olivia Millar
Tableau Performance Optimisation: Calculations
When building Tableau dashboards, calculations can provide essential additional analytical flexibility. However, how and where you compute these calculations affects query execution time and rendering speed
Tue 13 Oct 2026 | Dev Bhatnagar
Using DDL and DML to organize data from the Bureau of Transportation Statistics (BTS)
Last week we had the opportunity to select data, understand it, then organize it so it would be useful for our user stories that we created. I picked data from Bureau of Transportation Statistics
Tue 13 Oct 2026 | Jalil Cooper
Data Structures 2: Advanced Data Modeling
In one of my previous blogs I explained how the comprehension of data structures is critical to the data cleaning process. In this blog, I will expand upon some of those concepts through a data modeling project I recently completed
Tue 13 Oct 2026 | Marcus Rocco
From Raw Data to Insights: Building a Data Pipeline with Snowflake and SQL
From Data Storage to SQL
In a previous blog, The Data Journey: Where Data Lives, we explored the different places data can be stored, from flat files and databases to data warehouses and modern data lakehouses
Tue 13 Oct 2026 | Skyla Patterson
Data Pipeline Project in Snowflake: Housing Connect Data
In this blog I'll be going through my process of building a data pipeline in Snowflake using DQL, DDL, and DML.
The first step of this project was exploring the data; understanding the granularity, what each field meant, and then building a schema
Want to know more?
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