Describe your career to date
My career began nearly 30 ago as an analyst in a marketing department, where data about customer behaviour was used to tailor marketing messages and this gave me a real thirst to turn data into actionable insights. While working for a large mobile phone operator, I decided to study for a Master’s in Applied Statistics which, with the large data-sets available, allowed me to build many segmentations and predictive models.
This is where I first experienced the power that good insights can bring to effective decision making. I took this enthusiasm for data with me into my senior management roles, where my focus moved from customer strategy and CRM to enabling the whole business through business intelligence and data warehousing. I then focused on building strategies and approaches that delivered holistic data ecosystems that could support timely insights on an architecture of modern, flexible technologies.
During my time at ASOS, a key focus for me was the importance of bringing the right people together to provide the right blend of data architecture, data stewardship and data engineering skills to tie economic significance to the value of data.
I brought this learning into Photobox and took it a step further by embedding team members into the product teams to help champion data, showcasing how it can benefit the business and raise people’s understanding of how to use and interpret it, especially in improving the customers experience of a web journey.
Now at Sea/, I am enjoying bringing all of this together into the shipping industry, which is really starting to embrace data and actionable insight. To deliver on our purpose of “powering better decisions to enable sustainable shipping” we are looking to deliver relevant insights and intelligence in many areas to enable our customers to make efficient choices, whether that is predicting port congestion or optimising vessel selections for their given cargos while minimising carbon emissions.
What stage has your organisation reached on its data maturity journey?
Sea/ is in the middle of its data maturity journey. We are moving our data into Azure, utilising Databricks to benefit from the power of running a data platform on modern data architecture capabilities. We are also maturing our artificial intelligence and machine learning capabilities and have created a number of ML models to be embedded into our product offering to support us being the intelligent marketplace for fixing freight.
Tell us about the data and analytics resources you are responsible for
Currently the data team is around 15 strong and growing. They report into me directly, which gives them the advantage of having board member representation within Sea/.
Sea/’s purpose is “powering better decisions to enable sustainable shipping” so data is seen as an essential component to our product development activities and business success, hence the data team works closely with the product and tech teams. The team is currently slightly skewed to the data engineering side but over 2023 focus will move towards analysts/data scientists to help embed data and insights into our software.
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