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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
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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 11 May 2026 | Oscar Kriebel
Stay on the Radar: Making Radar Charts in Tableau
In a recent Makeover Monday, I ended up with a specific chart in mind. It was a type of radar chart, being closer to a type of line chart that was wrapped around a central point, rather than focusing on the area it contains
Sun 17 May 2026 | Ping HIll
Context is Key: How to Research Companies and Stakeholders
I just completed my first week at The Data School, and I’ve already learned so much regarding clients and stakeholders
Wed 29 Apr 2026 | George Rycroft
Moving Averages: Examples, Their Uses, and the Underlying Window Calc.
When analysing data over time, line charts can often look messy and have sharp fluctuations. Moving averages allow you to smooth out fluctuations and highlight longer term analysis. In this blog, I’ll show how to build moving averages in Tableau and explain when to use them
Wed 29 Apr 2026 | Vaishnavi Shankar
Custom Number Formatting in Power BI
In Microsoft Power BI, you can use DAX to define custom number formats, allowing you to control exactly how values appear in your reports. This is especially valuable in dashboarding, where clear, consistent and easy-to-read KPIs make a big difference
Tue 12 May 2026 | Kate Loder
Conditional Formatting in Power BI (using AverageX)
Power BI becomes especially powerful when you move beyond simple aggregations and start combining iteration functions with dynamic visual formatting. One of the best examples of this is building a scatter plot that automatically highlights performance categories using measures such as AverageX
Thu 14 May 2026 | Jude Royall
Finding Inspiration and Data for Personal Projects in Tableau
My first blog!
Wed 13 May 2026 | Harvey Lloyd-Smith
Text to Columns Alteryx Tool
The Text to Columns tool in Alteryx is essential for separating text (string) fields from one column into multiple. It works in the following way...
Looking at figure 1 above the user first needs to select the field they wish to be split, in this case its an Address field
Tue 12 May 2026 | Stefani Hermanto
Understanding Data Sources
Yesterday was DSNY12's first official day of training (hooray!!), and we covered many introductory data topics. In this blog post, I'll be covering common data sources and their use cases, in order of simplest to most abstract
Thu 07 May 2026 | Kaori Ikarashi
Why Effective Analytics Starts With Planning
One of the key takeaways from my first week was understanding the importance of planning before beginning analysis
Fri 24 Apr 2026 | Robbin Vernooij
What did it take to get into DS58?
DS58 are only 2 weeks into in their 4 month training period, so it's a great time to look at what it took for them to get into The Data School and start checking out their blogs, tableau public and follow their social media post!
You can apply for The Data School here
Tue 12 May 2026 | Vivek Patel
The Data Modelling Series - Part 2: Primary Keys, Foreign Keys & Relationships
In Part 1, we looked at why a large flat file like the Superstore dataset is not ideal for analysis. We explored what the data contained and started thinking about it as several different entities: orders, customers, products, and geography, all collapsed into a single row
Tue 12 May 2026 | Tomo Mensendiek
Running Queries on a Schedule in Snowflake
In my last blog about Connecting Tableau Pulse with Continuously Updating Snowflake Data, I simulated a live database by running a query in Snowflake that generated new rows on a schedule. In this post, I’ll go into more detail on how you can run queries on a schedule using Snowflake Tasks
Want to know more?
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