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How can we unlock the true potential of data?

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A diverse round­table of lead­ing data exec­u­tives share their views on the pow­er and poten­tial of data, as well as the many pit­falls to avoid

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Dan Matthews
22 Apr 2022

Data is often described as the ‘new oil’, but it’s way more pre­cious than that. And, unlike fos­sil fuel, the more you use it, the more you get back. Data is the future pow­er source of the glob­al econ­o­my, but its evo­lu­tion is fraught with chal­lenges. 

Now is the per­fect time, then, to hear from a select group of data chiefs for their views on the data oppor­tu­ni­ty – how it can super­charge indus­try, what its lim­i­ta­tions are, and what we must over­come to reach its full poten­tial. 

Get closer to the numbers 

For opti­mal results, organ­i­sa­tions must first under­stand what they have, says Mike Con­naughton, head of ana­lyt­ics and data inno­va­tion, EMEA, Ora­cle. “A lot of organ­i­sa­tions are still strug­gling to under­stand how their data under­pins val­ue cre­ation. Research sug­gests that the top quar­tile of busi­ness­es best placed to acquire and use dig­i­tal cap­i­tal are grow­ing expo­nen­tial­ly com­pared with the oth­er three quar­tiles. So, we know that peo­ple who do this well are ben­e­fit­ting, but many are still strug­gling to under­stand how their data under­pins their organ­i­sa­tion. It’s an issue we all have to deal with.” 

What’s clear is that organ­i­sa­tions are invest­ing heav­i­ly to get to grips with the infor­ma­tion at their fin­ger­tips, even those with mature data approach­es honed over three, four, even five decades. “A chal­lenge most organ­i­sa­tions have today is that sys­tems and process­es are not designed to quick­ly and eas­i­ly derive insights,” says Ashish Sur­ti, EVP tech­nol­o­gy and secu­ri­ty at Colt. 

“Our tech­nol­o­gy serves us extreme­ly well for our process­es and cus­tomers, but there are many data entry points. Not every­one ful­ly under­stands that if you enter a piece of data it could get manip­u­lat­ed 15 times before it dri­ves a deci­sion, and then that call could be com­plete­ly wrong. Organ­i­sa­tions must under­stand the true archi­tec­ture of their foot­print and run the basics of what is the source, why it was cap­tured and what is its val­ue.” 

Natal­ie Fish­burn, vice pres­i­dent, glob­al head of clin­i­cal data and insights at AstraZeneca, agrees: “In the phar­ma­ceu­ti­cal indus­try, his­tor­i­cal­ly we have thought about data in terms of each indi­vid­ual prod­uct, less about the breadth of our data and its poten­tial. 

“We have a project hap­pen­ing now to stan­dard­ise our data, which will improve its util­i­ty in clin­i­cal tri­als. For exam­ple, in future, we may be able to sim­u­late tri­al pop­u­la­tions of patients on place­bo (‘sug­ar pill’/inactive treat­ment), so we don’t need as many peo­ple in our tri­als. This is bet­ter for tri­al par­tic­i­pants and gets to the con­clu­sions faster.” 

Building strong foundations 

For Emma Duck­worth, direc­tor of data sci­ence, GSK Con­sumer Health­care, it’s cru­cial to get the basics right: “A data good strat­e­gy has to be aligned with your busi­ness strat­e­gy. So fig­ure out your objec­tives and work back­wards from there. That means clear gov­er­nance and defined data stew­ards, AI and ML stan­dards, as well as a data lit­er­a­cy pro­gramme that starts with lead­er­ship.” 

This is even more impor­tant in a world where the tech­ni­cal oppor­tu­ni­ty out­strips the num­ber of skilled indi­vid­u­als avail­able to run projects. Tris Mor­gan, direc­tor of secu­ri­ty advi­so­ry ser­vices at BT, thinks the answer lies in sim­plic­i­ty. “We’re look­ing at how we can sim­pli­fy process­es and auto­mate them using data insight as the trig­ger point for it all so that we can deploy the most pre­cious bod­ies we have on the park to the high­est val­ue activ­i­ties, while automat­ing eas­i­er things that require less exper­tise.” 

The skills gap and a pro­lif­er­a­tion of data silos are two of the biggest drags of progress in this area; oth­ers include rel­e­van­cy, tech­ni­cal debt and the need for gov­er­nance at the nation­al and inter­na­tion­al lev­el to move with the times, replac­ing com­pli­cat­ed per­mis­sion forms with tan­gi­ble proofs that can build trust. Ashish Sur­ti says: “I don’t think the way we’re doing accep­tance or con­sent is real­ly work­ing. The inten­tion was right when we set out, but now it’s a legal doc­u­ment peo­ple just do not under­stand.” 

It’s a gift that will keep on giv­ing. With trust and choice about how data is used, we can let peo­ple live bet­ter lives

In future, it will be cru­cial to democ­ra­tise data and pro­vide users with clear infor­ma­tion allow­ing them to make their own deci­sions on how their infor­ma­tion is used, accord­ing to Doug Brown, chief data sci­en­tist at Capi­ta. “It’s an inter­est­ing fron­tier but also a dif­fi­cult prob­lem to solve because of the restric­tions on cap­ture and use of data. For reg­u­lat­ed indus­tries, it’s fun­da­men­tal to under­stand how you have arrived at a par­tic­u­lar deci­sion and there­fore the eth­i­cal bound­aries, test­ing and trans­paren­cy of the results. 

“We have to prove we don’t want to dis­en­fran­chise, or in any way reduce, people’s access as a result of mov­ing to advanced ana­lyt­ics, AI and ML. Indi­vid­u­als want more con­trol and by work­ing col­lec­tive­ly we can move the dial on social engage­ment and pur­pose.” 

Future opportunities 

If reg­u­la­tors and indus­try can get the bal­ance right then the pos­si­bil­i­ties are end­less. Natal­ie Fish­burn at AstraZeneca says data appli­ca­tions will get med­i­cines to mar­ket faster and reduce the bur­den on hos­pi­tals, ulti­mate­ly giv­ing peo­ple more time with loved ones. 

Emma Duck­worth at GSK Con­sumer Health­care sim­i­lar­ly sees a move towards self-care, with more in-home treat­ments, low­er reliance on pre­scrip­tions and few­er vis­its to the GP. Tris at BT sees data as a weapon against the com­plex and evolv­ing threat land­scape while Ashish Sur­ti at Colt thinks it will improve sus­tain­abil­i­ty and ben­e­fit old­er gen­er­a­tions. But all agree that the way we acquire, man­age and use data will be fun­da­men­tal to its appli­ca­tion in future, and that there are many ques­tions to answer before we tru­ly wit­ness its opti­mal use. 

“It’s a gift that will keep on giv­ing,” says Capita’s Doug Brown. “With trust and choice about how data is used, we can let peo­ple live bet­ter lives. As we move into a more vir­tu­al world, organ­i­sa­tions that can tra­verse vir­tu­al and phys­i­cal expe­ri­ences will win. But if we don’t man­age it prop­er­ly or use it for the right pur­pos­es, that will have an impact on brand val­ue and indi­vid­ual rela­tion­ships alike.” 

To dis­cov­er how Ora­cle can help your organ­i­sa­tion gain valu­able data insights, vis­it oracle.com/uk/business-analytics


A diverse roundtable of leading data executives share their views on the power and potential of data, as well as the many pitfalls to avoid

Data is often described as the ‘new oil’, but it’s way more precious than that. And, unlike fossil fuel, the more you use it, the more you get back. Data is the future power source of the global economy, but its evolution is fraught with challenges. 

Now is the perfect time, then, to hear from a select group of data chiefs for their views on the data opportunity – how it can supercharge industry, what its limitations are, and what we must overcome to reach its full potential. 

Get closer to the numbers 

TechnologyThe Strategic CIO 2022Roundtable

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