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