The Data School Coaches
Andy, a five-time Tableau Zen Master, stumbled upon Tableau in 2007 when he was desperate for help to quickly create dashboards using SSAS cubes. Since then, it’s been Andy’s personal mission to help as many people as possible “see and understand” their data with Tableau, which is the focus of his role as Head Coach at The Information Lab’s Data School. Data is knowledge, but Andy believes that seeing data is insight.
In August 2009 he launched vizwiz.com, which provides examples of data visualization best practices, methods for improving existing work, and tips and tricks with Tableau Software. He writes two weekly series: Makeover Monday and Tableau Tip Tuesday. He also writes datavizdoneright.com, a site created to highlight data visualisation best practices.
After a one day Tableau training course from The Information Lab several years ago, Carl became a Tableau addict and decided to make it his full time job. Carl joined The Information Lab in September 2014.
Carl’s experience focuses on Operational Improvement, Customer Experience measurement and Propostional development.
In his own time, Carl runs the blog Data Jedi Ninja that focuses on Tableau tips, tricks and visualisation experimentation. This allows him to visualise sporting data, especially basketball, and have a global discussion about what he finds along the way.
Carl is a Tableau Desktop Certified Trainer, Tableau Server Qualified Associate, and an Alteryx Certified Trainer.
Jonathan MacDonald, affectionately known as ‘JMac’ by his colleagues and the wider Tableau community, is a consultant at The Information Lab and is responsible for helping customers architect, deploy and maintain their Tableau Server environments as well as managing The Information Lab’s AWS cloud solutions business. He’s also an accredited Tableau Desktop and Tableau Server trainer, and holds the Certified Professional qualification in both products.
He’s been with The Information Lab since 2014 when he started out as a Tableau Desktop consultant, having worked as a BI contractor prior to that.
Jonathan teaches Tableau Server and IT fundamentals to all of The Data School cohorts.
Emma has worked in data analysis since finishing her MA and started working life using traditional tools of Excel and SPSS. Frustrated with the amount of time it took to produce reports she quickly found Tableau and realised it was perfect for letting end users understand and explore their data. Emma ended up training her colleagues the tricks of the Tableau trade and made using the software a core business function. She also set up and managed Tableau Server and wonders how organisations use Tableau without it.
Away from creating Tableau Vizzes with American Football data, Emma also enjoys cycling, running, baking cakes and drinking coffee.
Emma is a Tableau Desktop Certified Trainer and a Tableau Server Qualified Associate.
Craig first discovered the power of Tableau through constant frustration with data report authoring using classic spreadsheet applications. Craig joined The Information Lab in 2011 and has been helping people install, understand and create exciting visualisations with Tableau.
Craig has published dozens of workbooks to Tableau Public, knows Tableau Server inside & out, has developed community releases for Tableau including a Tableau Chrome plugin, web data connectors, and geopacks for enhanced mapping.
Outside of Tableau Craig lives in York with his partner and their 3 year old daughter. Being a local food enthusiast you’re sure to find him browsing a North Yorkshire farmers’ market in search of seasonal, local produce.
Craig a Tableau Zen Master, a Tableau Desktop Certified Trainer and an Alteryx Certified Professional.
Chris has an extensive background in data analysis spanning 10 years; initially working in SAS and SQL he was asked to evaluate an early version of Alteryx 8 years ago and hasn’t looked back since.
The pinnacle of his career so far came at Alteryx’s Inspire Conference in 2013 where, pitted against nine other Alteryx super-users, he competed in his first Alteryx “Grand-Prix”. Despite some stiff competition Chris raced through three business problems, against the clock, and totaled the best time overall to become the first Grand Prix winner outside the USA.
Chris is an Alteryx Ace, a Tableau Zen Master, an Alteryx Certified Professional and a Tableau Desktop Certified Trainer.
Robin found Tableau through frustration with the limitations or long development cycles of more established tools and so went on the hunt for an alternative. The addition of Tableau to his toolset has really enhanced his ability to engage and enlighten his audience through visualisations, and enable users to intuitively explore their own data. With an eye on Tufte and Few’s information design methodologies, Tableau’s capabilities allow him to quickly get the visual design in his head onto the screen.
Away from Tableau and data warehouses, Robin enjoys home cooking, travelling to exotic destinations with his wife, and playing euro strategy games.
Robin is a Tableau Desktop Certified Trainer and an Alteryx Certified Trainer.
Tom founded The Information Lab after discovering a passion for helping people make sense of data. This passion was fuelled by five years of working on ‘Traditional’ Business Intelligence projects which in Tom’s own words ‘just never seemed to be what people actually wanted’. After a long night evaluating Tableau in 2008, Tom realised that the Business Intelligence world had changed and set about becoming an evangelist and product specialist in Tableau.
When not working with Tableau, Tom spends his time juggling the needs of a young family and a reasonable golf handicap. Luckily, he can also juggle.
Tom is the Data School Founder, a Tableau Desktop Certified Trainer and an Alteryx Certified Professional.
Recent Blog Posts
Our team does a lot of blogging! Follow their projects and progress every week
Using a drill down map can offer more detail about a specific location. I’ve used the Tableau Superstore data to create a map that will drill down from Regions to States, shown below.
In this blog, I will explain how you can add dynamic reference lines to a time series data which will allow the user to see the data relative to a selected reference date.
Quick Top N Labelling method using the RANK table calculation.
This is a quick and easy method to return the first value in a concatenated string field without having to get messy with REGEX.
What are the benefits of using a formula tool rather than a spatial tool?
Tableau’s default method of aggregation for a measure is Sum. However, Sum will not always be the most appropriate method of aggregation to use.
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