This a profile from the 2019 version of the DataIQ 100.
To see the current DataIQ 100 please click here.
DataIQ 100
Aged 16, I had a difficult decision to make: to attend dance college and train as a ballerina or to focus on my A-levels. Practicality (and perhaps a fondness of chocolate) prevailed and I chose the latter. After studying maths at Imperial College, I started work as an analyst using econometrics to create model-based media buying tools. It wasn’t long before I decided that I wanted to see how analytics could benefit a wide range of industries, so I went on to take various business-facing analytics roles in retail, financial services, agency and consulting. Most recently, I was lucky enough to merge my life-long passion for ballet with my work in becoming the head of analytics and audience data at the Royal Opera House.
My first day at the Royal Opera House - walking through the stage door and realising, “this is my office”.
Focus on making a positive impact to the business and believe in yourself.
Pretty much. I use an operating model that addresses both business-as-usual and has enough flex for any unexpected surprises. This gives the ability to easily re-prioritise based on business needs.
I think the battle between traditional models and modern deep-learning methods will be interesting to watch, especially seeing which are able to drive most value, both in terms of strategic insights and operational effectiveness to wider areas within an organisation.
We’re lucky to have a fantastic brand and HR department. That said, ensuring projects are interesting and support both technical and commercial development as well as showing passion for the work has always helped me bring on board great talent.
Commercial analytics - influencing larger strategic decisions organisation-wide.
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