Big data

The UK economy could gain £216bn through the better management.

As the amount of data continues to grow exponentially, compounded by the internet, social media, cloud computing and mobile devices, it poses both a challenge and an opportunity for organisations – how to manage, analyse and make use of the ever-increasing amount of data being generated.

In an economic study on ‘big data’ by the Centre for Economics and Business Research (Cebr), sponsored by business analytics company SAS UK, we investigated how UK organisations, both public and private, can unlock the economic value of big data through the adoption of analytics.

The results show that ‘Data Equity’ – the economic value of data – has the potential be worth £216bn to the UK economy over the next five years – equivalent to more than the current defence, NHS and education and budgets combined.

The benefits of data equity are expected to manifest themselves in the creation of new jobs – Cebr predict that 58,000 could be created as a result of the entry to markets of new businesses, through which the business creation benefits are derived.

Business creation benefits and could raise employment as the result of new business start-ups and increased demand for data-specific roles. Improvements in market and customer intelligence in every sector will support entrepreneurial activity, allowing for more precise strategising and reduced uncertainty, therefore attracting new business start-ups into these markets.

The main efficiency gain is contributed through improvements to customer intelligence. Data-driven improvements in targeted customer marketing, the more effective meeting of demand and the analytical evaluation of customer behaviour is forecast to produce £74 billion in benefits over the next five years – the majority being driven by UK manufacturing (£45bn) and retail (£32bn).

We expect the manufacturing sector to see the largest innovation gain from the adoption of big data analytics. The utilisation of high-performance analytics could lead to new product development benefits of £8 billion in increased output over the next five years. The retail sector can also experience significant gains through innovation such as new consumer products which are expected to induce a £3 billion rise in output.

There is also much value to be unlocked from supply chain and logistical data. Cebr anticipates £46 billion in gains through using predictive analytics to better forecast demand, replenishment points and optimise stock and resource allocation to reduce costs.

The public sector is another key gainer. Government could save £2 billion in fraud detection and generation £4 billion through better performance management. A further £6 billion in efficiencies could be gained by analysing performance data, with the healthcare system benefiting by £2 billion.

This enhanced information, and ability to react dynamically to changes in the market landscape, will enable smaller businesses to compete more effectively with larger and more established ones, having reduced barriers to entry. Small retailers and manufacturers are anticipated to take significant advantage of this big data opportunity, generating £15 billion of new business.

Job creation is a key aspect of the report and experts agree that data equity has the potential to be as important to organisations as brand equity. As a result there is an increasing demand for ‘data scientists’ – highly skilled statisticians who work with data to derive business insights. We are already seeing the emergence of the Chief Data Officer in the US as organisations look to capitalise on their data equity for a competitive advantage, and it won’t be long until that trend crosses the pond.

But currently demand for data scientists outstrips supply, with the UK facing a particularly acute skills gap when it comes to science, technology, engineering and mathematics (STEM) subjects. This emphasises the need to teach high quality STEM skills at school and university to prepare the next generation of graduates for the big wide world of data.

As the volume of data created exponentially increases and big data’s value is unlocked to greater effect by technological advances, we would expect data to start appearing on the balance sheets of companies that begin to realise its value in financial terms. Furthermore, the efficiency and innovation gains generated from data-driven technologies can play a vital role in ensuring the competitiveness of the UK’s goods and services on the global stage, and thus generate a wider economic benefit beyond the value of the significant asset to its owner.

Tapping into the dizzying amount of big data could be the stimulus the UK economy has been searching for. High performance analytics has the power unlike any other technology to generate growth, reduce debt, create jobs, develop new innovations and deliver greater operational efficiencies. Organisations, large or small, government or commercial, must get to grips with the big data challenge, and use analytics to identify tomorrow’s opportunities.

Big Data: A man inspects a supercomputer in Paris. Credit: Getty

Shehan Mohamed is an economist at the Centre for Economics and Business Research and Andy Cutler is the head of high performance analytics at SAS UK. They co-authored the report Data Equity: unlocking the value of big data.

 

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The Tinder dating app isn't just about sex – it's about friendship, too. And sex

The lines between sex, love and friendship are blurrier than ever, as I found out quickly while using the app.

The first time I met someone using Tinder, the free dating app that requires users to swipe left for “no” and right for “yes” before enabling new “matches” to chat, it was an unqualified success. I should probably qualify that. I was newly single after five years in a committed relationship and wasn’t looking for anything more than fun, friendship and, well, who knows. A few weeks earlier I had tried to give my number to a girl in a cinema café in Brixton. I wrote it on a postcard I’d been using as a bookmark. She said she had a boyfriend, but wanted to keep the postcard. I had no date and I lost my page.

My Tinder date was a master’s student from Valencia called Anna (her name wasn’t really Anna, of course, I’m not a sociopath). When I arrived at the appointed meeting place, she told me I was far more handsome IRL (“in real life”) than my pictures suggested. I was flattered and full of praise for the directness of continental Europeans but also thought sadly to myself: “If only the same could be said about you.”

Anna and I became friends, at least for a while. The date wasn’t a success in the traditional sense of leading us into a contract based on exclusivity, an accumulating cache of resentments and a mortgage, but it had put me back in the game (an appropriate metaphor – people speak regularly of “playing” with the app).

According to Sean Rad, the co-founder who launched Tinder in late 2012, the service was invented for people like me. “It was really a way to overcome my own problems,” he told the editor of Cosmopolitan at an event in London last month. “It was weird to me, to start a conversation [with a stranger]. Once I had an introduction I was fine, but it’s that first step. It’s difficult for a lot of people.” After just one outing, I’d learned two fundamental lessons about the world of online dating: pretty much everyone has at least one decent picture of themselves, and meeting women using a so-called hook-up app is seldom straightforwardly about sex.

Although sometimes it is. My second Tinder date took place in Vienna. I met Louisa (ditto, name) outside some notable church or other one evening while visiting on holiday (Tinder tourism being, in my view, a far more compelling way to get to know a place than a cumbersome Lonely Planet guide). We drank cocktails by the Danube and rambled across the city before making the romantic decision to stay awake all night, as she had to leave early the next day to go hiking with friends. It was just like the Richard Linklater movie Before Sunrise – something I said out loud more than a few times as the Aperol Spritzes took their toll.

When we met up in London a few months later, Louisa and I decided to skip the second part of Linklater’s beautiful triptych and fast-track our relationship straight to the third, Before Midnight, which takes place 18 years after the protagonists’ first meet in Vienna, and have begun to discover that they hate each others’ guts.

Which is one of the many hazards of the swiping life: unlike with older, web-based platforms such as Match.com or OkCupid, which require a substantial written profile, Tinder users know relatively little about their prospective mates. All that’s necessary is a Facebook account and a single photograph. University, occupation, a short bio and mutual Facebook “likes” are optional (my bio is made up entirely of emojis: the pizza slice, the dancing lady, the stack of books).

Worse still, you will see people you know on Tinder – that includes colleagues, neighbours and exes – and they will see you. Far more people swipe out of boredom or curiosity than are ever likely to want to meet up, in part because swiping is so brain-corrosively addictive.

While the company is cagey about its user data, we know that Tinder has been downloaded over 100 million times and has produced upwards of 11 billion matches – though the number of people who have made contact will be far lower. It may sound like a lot but the Tinder user-base remains stuck at around the 50 million mark: a self-selecting coterie of mainly urban, reasonably affluent, generally white men and women, mostly aged between 18 and 34.

A new generation of apps – such as Hey! Vina and Skout – is seeking to capitalise on Tinder’s reputation as a portal for sleaze, a charge Sean Rad was keen to deny at the London event. Tinder is working on a new iteration, Tinder Social, for groups of friends who want to hang out with other groups on a night out, rather than dating. This makes sense for a relatively fresh business determined to keep on growing: more people are in relationships than out of them, after all.

After two years of using Tinder, off and on, last weekend I deleted the app. I had been visiting a friend in Sweden, and took it pretty badly when a Tinder date invited me to a terrible nightclub, only to take a few looks at me and bolt without even bothering to fabricate an excuse. But on the plane back to London the next day, a strange thing happened. Before takeoff, the woman sitting beside me started crying. I assumed something bad had happened but she explained that she was terrified of flying. Almost as terrified, it turned out, as I am. We wound up holding hands through a horrific patch of mid-air turbulence, exchanged anecdotes to distract ourselves and even, when we were safely in sight of the ground, a kiss.

She’s in my phone, but as a contact on Facebook rather than an avatar on a dating app. I’ll probably never see her again but who knows. People connect in strange new ways all the time. The lines between sex, love and friendship are blurrier than ever, but you can be sure that if you look closely at the lines, you’ll almost certainly notice the pixels.

Philip Maughan is Assistant Editor at the New Statesman.

This article first appeared in the 26 May 2016 issue of the New Statesman, The Brexit odd squad