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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
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Data for Good 2021
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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.
Mon 29 Sep 2025 | Ayo Popoola
Fixing a bar at the top of a chart using sets
When building charts, its important to think about what the end user should focus on. Using pre-attentive attributes such as colour, shape and size would help guide the user to a point of focus instantly
Sat 04 Oct 2025 | Rosh Khan
How to Load a CSV File into a Snowflake Table using a Stage
If you’re new to Snowflake, one of the first things you’ll want to learn is how to load your data. In this blog, I’ll walk you through importing a CSV file containing Olympic athlete data into Snowflake using a schema, stage, file format, and table
Thu 02 Oct 2025 | Ayo Popoola
How to make a Current month-to-date vs Previous month-to-date kpi
Date comparison KPIs are a great way to show increase/decrease in performance overtime in a quick concise manner. These KPI's could be used alongside a line chart to give a summary of growth between two dates
Wed 01 Oct 2025 | Christopher Andrew Young
Alteryx and teaching session: An 8th Week in the Data School
This week proved to be an intensive training period in Alteryx, having only previously completed an introductory lesson on the software. The training was extremely helpful, especially as my section for The Information Lab's Training Day focuses on Formulas in Alteryx
Thu 02 Oct 2025 | Anh Vu
Tableau Next: My Superstore Dashboard Experience.
In this post, I will share my honest first impressions of the Tableau Next experience and highlight some features I found useful while building a dashboard using the Superstore data.
The image below shows the end result of my Superstore dashboard about Customer Segment
Sat 04 Oct 2025 | Rosh Khan
dbt: How to Create Custom ID Fields When Your Data Doesn’t Come With One
We’ve all been there. You pull a dataset into dbt, excited to start transforming it, only to realize there’s no ID field — no primary key, no unique identifier, nothing to reliably join or test on.
Without IDs, it’s hard to join tables, track changes, or even run some data tests properly
Sat 04 Oct 2025 | Rosh Khan
What are dbt Packages and how to use them
If you’re all about saving time and reusing pre-made code, then dbt Packages are your best friends. These are open-source collections of macros (basically reusable SQL snippets) that you can plug straight into your project — kind of like using libraries in Python or macros in Alteryx
Wed 01 Oct 2025 | Elizabeth Archer
LAG and LEAD Functions: SQL
This week I have been completing Leetcode's SQL50; therefore, I thought I would take you through the LAG and LEAD function which I found especially handy for these exercises!
To get the value of a previous/future row you often think you have to join a table to itself
Thu 02 Oct 2025 | Amy Afriyie
Building a Radial Column Chart in Tableau
For one of my personal projects, I will be building a business dashboard specifically for an events company - read more about my plan here.
As much as I want to focus on the usability (i.e
Thu 02 Oct 2025 | Lorraine Ferrusi
#macromanage model yaml files
Another excellent package created by dbt Labs is codegen, which is designed to help you generate boilerplate dbt code automatically. One of its most useful macros is generate_model_yaml
Thu 02 Oct 2025 | Anastasiia Larina
Tableau Desktop vs Tableau Next: My First Experience
I recently had a chance to try Tableau Next, and in this blog, I want to share some differences between Tableau Desktop and Tableau Next. This might help you decide which one fits your needs better.
Tableau Desktop
Tableau Desktop is a locally installed application
Thu 02 Oct 2025 | Christopher Andrew Young
Date KPIs: Current Day vs Same Day Last Year
Creating interactive KPIs are a sure way to elevate any dashboard you create. One way is to use calculated fields and dates to create different periods in time in which to view the data
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