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A NEW BREED

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on the cover<br />

‘If you empower<br />

people, they’re very<br />

passionate about<br />

the capabilities<br />

they have, and they<br />

can do more under<br />

their own steam’<br />

Capgemini, Gratton built apprenticebased<br />

‘data science factories’ that<br />

took on graduates and built<br />

relationships with universities<br />

and apprenticeship schemes to<br />

encourage big data skills, effectively<br />

nurturing cultural attitudes to data<br />

right from the ground up.<br />

‘At Capgemini, one of the biggest<br />

gaps I saw was predictive modelling,<br />

or statistical modelling through<br />

technology like SAS,’ says Gratton.<br />

‘Capgemini already had a scheme set<br />

up using traditional technologies,<br />

so it was all about cross-training<br />

technology we were not used to.’<br />

It took about 18 months to set up,<br />

but, through the data science factory<br />

at Capgemini, Gratton trained a<br />

number of apprentices and put<br />

them through projects in the credit<br />

card industry.<br />

‘We found from this that if you<br />

empower people, they’re very<br />

passionate about the capabilities<br />

they have, and they can do more<br />

under their own steam,’ he says.<br />

‘They look after the data and they<br />

govern it better – it’s a selffulfilment<br />

cycle really.’<br />

The new digerati<br />

The term ‘digital’ is increasingly<br />

being used as a catch-all for anything<br />

to do with technology. But as Gratton<br />

argues, it comes down to far more<br />

than just taking physical processes<br />

and putting them on mobile phones<br />

or tablets.<br />

At Zurich, one if his core focuses<br />

is changing the speed at which<br />

people interact with each other,<br />

and how much employees know<br />

about customers at each point they<br />

interact with them.<br />

‘Whether you’re a call centre<br />

operative or broker dealing with<br />

a claim, the more information<br />

you have about that company or<br />

individual, the more likely you are<br />

to produce a better service,’ he says.<br />

‘For such a traditional industry, it’s<br />

quite a change to go through.’<br />

Meanwhile, Gratton hopes that<br />

more traditional and repetitive<br />

tasks, such as duplicating<br />

information across numerous<br />

applications, will soon be replaced<br />

by software robots.<br />

While artificial intelligence and<br />

cognitive computing technologies<br />

such as IBM’s Watson are supporting<br />

diagnoses in the medical industry,<br />

they could also intelligently collate<br />

and process information about<br />

insurance – allowing the right<br />

human decision to be made at the<br />

right point.<br />

So with employees and robots<br />

taking data science under their wing,<br />

where does it ultimately leave those<br />

such as Gratton and the role of the<br />

CDO in the insurance sector?<br />

‘In ten years’ time the role may still<br />

be there,’ he says, ‘but the world is<br />

changing. There’s an argument that<br />

says the CIO could do what the CDO<br />

is doing, and ten years from now<br />

they probably could.<br />

‘But the current breed of CIO tends<br />

to be focused on the IT function,<br />

big-bang projects and simplifying<br />

technology, whereas the CDO right<br />

now is about agile, quick value<br />

creation – driving innovation<br />

around data through lots of pilots.’<br />

As everyone in a business evolves<br />

to become more data-oriented<br />

and fluent in using data in their<br />

everyday processes, Gratton believes<br />

the CDO is likely to become part of<br />

the fabric of the organisation, and<br />

may not be a role in its own right.<br />

‘There’s no reason why it couldn’t<br />

go to the COO or somewhere else,<br />

but what’s for certain is that whoever<br />

is in charge of these functions, they<br />

will sit at board level.’<br />

20 information-age.com September 15

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