Meet the Team: Jenny Martin, Tableau and Alteryx Consultant

11 March, 2022 | Sophie Sparkes

Meet the Team: Jenny Martin, Tableau and Alteryx Consultant

Get to know a bit more about the team working at The Information Lab!

Tableau Social Ambassador Jenny Martin has a passion for data prep and the problem solving it requires.

In her own words:

I love preparing data and getting it all squeaky clean so that it can actually be used! There’s nothing more rewarding than hearing that the data you’ve managed to bring together has helped uncover a previously unknown insight.

Jenny has been working with data for 3 years now and the part that really interests her is the data preparation stage. That’s why for the last 2 years, she’s enjoyed helping to run the weekly challenge initiative Preppin’ Data, which helps to give hands-on examples of data preparation challenges.

When Jenny isn’t working she likes to take advantage of her close proximity to Southend seafront by roller skating along the seafront on sunny days. It’s nice and flat with a wide pathway, which is always helpful for avoiding crashes!

Want to learn a little more about Jenny? Highlights from her take over of the Information Lab twitter account

It definitely helps to be part of a team to bounce ideas around and share the load. I often get challenge writing block, but a short catch up with Carl and Tom and suddenly ideas have been sparked and I feel enthused once more. (1/2)
— The Information Lab (@infolabUK) March 15, 2022

Tips from Jenny on how to get involved in Community initiatives/projects

Hi Will! My first wish would be a text input step, that would be super handy for making quick lookup tables. Second, I'd love an iterative capability in Prep! Being able to dynamically cycle through data would make the tool so much more flexible. (1/2)
— The Information Lab (@infolabUK) March 15, 2022

Jenny’s wished for improvements to Tableau Prep

Finally, I wish for the ability to control the sorting order of rows in Prep, maybe a row number gets added to each data input as in appears in the source location? That would allow us to do more multi-row calculations and solve even more problems! (2/2)
— The Information Lab (@infolabUK) March 15, 2022

Incredible question! I've put a lot of thought into this & I'm going to go with a Jigglypuff that has been taught teleport. Not only could I teleport around, but I could also lend out my Jigglypuff to help sleep deprived colleagues get some well needed rest!
— The Information Lab (@infolabUK) March 15, 2022

If Jenny could have a Pokémon it would have to be Jigglypuff

Sophie Sparkes

London, UK