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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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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 06 Jul 2026 | Arushi Pant
Transalytical Flows Experimentation- Implementation using a Data Lakehouse (Is it worth using a Lakehouse for Transalytical flows? ).
As I continue to explore what Fabric can do/ capable of. I started to get curious as to if it was possible to combine a newer feature (Translytical task flows ) with what I have learnt so far

Thu 27 Nov 2025 | Joss Lazenby
Dashboard Week Days 4&5: NFL Big Data Bowl 2026 - Analytics
Our final brief of dashboard week is to create the start of an entry for the NFL Big Data Bowl hackathon, which focuses on the player movement before and after a pass.
As with previous weeks my first step is to breakdown the time available to me and plan out the next two days

Mon 06 Jul 2026 | Arushi Pant
Creating a Data Lakehouse and building reports off of queries in Fabric.
This blog is a continuation of my 'What is Microsoft Fabric?' Blog posted a week ago. Here is more of a tutorial on how to create a Data Lakehouse within Fabric. And some features you are able to do once you have created a data Lakehouse


Mon 29 Jun 2026 | Shivam Wadhia
Incremental Loading Using dbt
Here, I discuss how I used incremental loading whilst modelling Land Registry's Price Paid dataset. The complete dataset contains a row for every property transaction in England and Wales registered with the Land Registry since 1995 ~ 24 million rows

Wed 01 Jul 2026 | Salome Grasland
How to Build a Dashboard That Answers "So What?"
Most dashboards stop at the first chart.
They show you a number: points per game, the percentage of visitors wearing a mask, or how many babies got a specific name. While that information is useful, it is where analysis begins, not where it ends

Wed 01 Jul 2026 | Mel Niere
The Information Lab US Named a 2026 NYC Top Workplace
We’re proud to share that The Information Lab US has been named one of NYC’s Top Workplaces for 2026, ranking fourth in the small workplace category.
Since opening our US office in 2022, we have focused on building a company where people can learn, grow, and take on meaningful work

Tue 30 Jun 2026 | Arushi Pant
What is Microsoft Fabric?
A data analytics software that allows users to ingest and visualise Data within one Ecosystem(Microsoft).
For businesses, a common pain point is that there is a need to govern and transform data across disconnected tools and teams. Microsoft Fabric offers a possible way to tackle this problem

Wed 24 Jun 2026 | Helena Reichenvater
Preparing Delimited Data in Alteryx
Different programs used for data cleaning have different methods of preparing delimited data most efficiently.
Using Challenge #2 from Alteryx Community challenges, we can practice the steps to preparing delimited data in Alteryx
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