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2023 DataIQ 100

Simon James Gratton, chief data officer, Three

Describe your career to date

The effective use of data has always been central to what I do. My data journey started in the mid-1990s at what is now IBM Cognos, during a pivotal point in the business intelligence revolution. 

 

I then worked as an interim across different businesses and vertical sectors in BI, integration, IT consolidation, architecture and ultimately management roles. This period also placed me in numerous data remediation transformations in the run-up to the "Y2K problem".

 

At Telus, I delivered large-scale IT transformations during periods of group consolidation. At Royal Mail, I joined pre-privatisation on a breath-taking transformation delivered against a backdrop of declining mail revenues. At Zurich UK, I established its first chief data office and digital innovation lab at a time when establishing analytics and data science capabilities became of boardroom interest. 

 

My time leading data, analytics and CIO advisory at Capgemini Financial Services, followed by numerous portfolio roles across Deloitte, HSBC, BKL, Bletchley Park, Centrica, Schneider Electric and JCB has taught me how to deliver value from data quickly in any scenario.

 

At Three, I support our data function as we continue to transform customer and network experience with a focus on both revenue growth and operational efficiency.

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What stage has your organisation reached on its data maturity journey? 

That depends on how you classify data maturity! We have mature analytics, engineering, data management and innovation functions underpinned by an agile cloud DevSecOps change management approach that supports our business data initiatives through a product-driven data delivery model at its heart. We have started our self-service enablement journey.

 

Tell us about the data and analytics resources you are responsible for

The chief data office at Three has functions that ‘make’ and ‘run’ our data products and a new ‘innovate’ function that supports automation, data democratisation and value generation. These sit centrally within our technology team.

 

In addition, we have skilled data teams (including MSc-based data scientists and data analysts) with other business functions that work with our data operationally under a collaborative self-service delivery model. 

We operate a hybrid model which means we have data professionals close to most of the business teams that we work with day-in, day-out.

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