Jane Tweddle, financial services industry principal at SAP UKI looks at the complexity of big data for insurers
According to IDC, by 2020 there will be a 50 fold increase in data compared to 2010. This data is coming from more and more sources in a variety of formats, and, with customers’ ever increasing demands, the speed at which businesses need to react to this data is changing.
For the insurance industry in particular, governed by regulation and with fraud and increased competitiveness continuing to be a concern, the pressure is on to make use of all the data available to them.
So what is big data? At SAP we use the three V’s to give a definition of big data:
Volume – Information is exploding
Velocity – The speed with which insurers are expected to react to the data
Variety – Big data comes in a variety of formats – structured and unstructured
There is also a fourth, Variability. Over time, the type of data varies and new data types and fields need to be stored.
With that in mind, to compete effectively, the intelligent insurer will collect and harness all insight to enable them to differentiate themselves in an ever competitive, low-margin market; providing more customised and flexible products and pricing as well as exceptional customer service.
By implementing a real time data platform and unwiring the business – i.e. making information available to users not only in real time, but also across any device, these intelligent insurers will be able to:
- Better understand customers and provide improved services based on individual needs
- Better manage risk and address compliance and regulatory disclosure requirements
- Generate a state of the art experience for all customers and internal users
- Run their business better by being able to make the right decision at the right time
- Reduce time to market for new products and services.
However, challenges to the effective use of big data are well known and reflect many of the challenges insurers have in using data generally.
Often insurers store data because they can and it might come in handy. At a departmental and divisional level data is being stored in a silo approach as each part of the organisation aims to be self-sufficient and not exposed to sharing data across lines of business. Data storage is now cheaper and this perhaps exacerbates this behaviour – ironically this reduced IT cost becomes part of the problem as well as part of the solution.
Apart from this siloed approach, data is coming from many different sources and in many different formats.
Common semantic layer
Being able to analyse big data using a common semantic layer – although important – is not easy and, as such, poses a challenge to insurers. Without this single source of data across the business, gaining insight and having the right information at the right time for effective decision making is difficult and ultimately means data cannot be analysed accurately, in real time.
Reduce IT stack and access time
Reducing both the IT stack and time to access data is challenging for many insurers, but necessary in order to provide more up-to-date data which can be used to take action in real time. For insurers operating in a high risk industry, it’s important to be able to act on data as it looks now, rather than how it looked last week or last month. It also provides a platform for insurers to obtain insights to make predictions about trends in the market, potential risks and profitability.
Insurers that struggle with getting to grips with data are likely to become uncompetitive. Getting control of data across the organisation is no longer a nice to have – regulation is very much driving this agenda in the integration of risk and finance data and customers have higher and higher expectations of their insurers and can make or break a brand through the use of social media.
The highest potential return for Big Data in insurance
Establishing a clear approach towards harnessing and using data in real time is crucial. Significant benefits can be gained, especially in the areas of fraud, risk management, financial analysis, fast, actionable MI and cross-selling.
The technology is available today for insurers to manage and use big data to enable the operational change that is required to embrace the opportunities for better differentiation, business growth and reduced costs. Only then will insurers be in a position to achieve profitability in what are still difficult economic times.
Changing the Game
Germany’s largest health insurer, AOK, is one such example of an insurer putting big data into action to provide faster analysis, decision making and predictive insights. AOK implemented SAP’s in-memory HANA technology to conduct extensive evaluations of medical mass data, so that it can identify health risks early on and test different prevention models.
Implementation of SAP’s HANA technology has provided a fast analysis tool to support AOK’s requirements – not only allowing multiple sources of data with complex joins to be brought together, but also by enabling analysis of this data in 2.5 minutes, compared to 150 hours using traditional data warehouse and analysis technologies. While the faster analysis times and ability to perform complex predictive models are impressive, more importantly is the ability for AOK to achieve its objective of business transformation. AOK transitioned from a claims management company to one that provides preventive healthcare plans and treatments, resulting in healthier, satisfied customers and considerable cost reductions.
So we have a definition of big data and we know it’s definitely here, but are insurers still struggling with small data?
For some this may well be the case but for others, like AOK, using innovative technology is allowing them to leap-frog other financial services institutions. It enables organisations to move rapidly from struggling with small data to benefiting significantly from getting to grips with big data.
2014 is the time for the industry as a whole to follow suit.
Take Five: Davos goes virtual
It is the end of January, so time for the Davos World Economic Forum (WEF), and Chinese President Xi Jinping, German Chancellor Angela Merkel, Japanese Prime Minister Yoshihide Suga and European Central Bank chief Christine Lagarde are among this year’s big-name speakers.
But Davos was not spared the pandemic hit; instead of gathering at the Swiss ski resort, the world’s great and good will do so virtually.
With the global economy deep in crisis, there is no shortage of topics: soaring unemployment and debt levels, growing income inequality and climate change.
And, like everyone else, the WEF is pinning hopes on normality returning – it plans a face-to-face meeting in Singapore in May.
Outpaced by a late-2020 surge in so-called value stocks, tech shares have roared back amid the pandemic’s unrelenting march. That is reflected in recent hefty gains for Russell’s 1000 “growth” index versus its value counterpart.
The gains could extend when Apple, Microsoft and Facebook report earnings. Also on deck is Tesla, which recently joined the S&P 500.
The results could push the combined market capitalisation of the FAANGs – Facebook, Amazon, AAPL Netflix and Google-parent Alphabet – back above their all-time peak of $6.16 trillion.
Netflix has done its part; robust subscription numbers reported on Jan. 19 have boosted its shares 17%. Now there are high expectations for the rest. Morgan Stanley has boosted the price target for Apple, declaring themselves “buyers ahead of what we expect to be a record December quarter print”. Microsoft reports on Jan. 26, followed by Apple, Facebook and Tesla a day later.
Graphic: The return of the FAANGs – https://fingfx.thomsonreuters.com/gfx/mkt/oakpeyelnpr/Pasted%20image%201611266376120.png
3/RED ENVELOPE FOR HONG KONG
Record amounts of Chinese money are flowing into Hong Kong stocks, pushing the Hang Seng index above the 30,000 mark, making it a global top performer and putting a floor under Chinese companies blacklisted by Washington.
The inflows have also pushed Hong Kong interbank rates to multi-year lows, meaning authorities may not even need to inject cash, as they usually do in the run-up to February’s Lunar New Year holiday.
An upcoming $5 billion IPO from Chinese online video company Kuaishou may draw in even more mainland money.
For a city rocked by pro-democracy unrest since 2019, this endorsement of its markets is a positive. Unless, that is, one views this as another sign of China’s growing political and financial stranglehold on the special administrative region.
Graphic: Mainland investors hunt for bargains in Hong Kong – https://fingfx.thomsonreuters.com/gfx/buzz/xlbvgylqevq/mainland%20investors%20hunt%20for%20bargains%20in%20Hong%20Kong.jpg
4/DRIVING OUT EUROPE INC BLUES
Europe’s STOXX 600 firms are expected to report a 26% earnings drop during the Q4 season which has just got under way. But that is history – let’s look instead at the January-March 2021 season when a 44% profit jump is predicted.
Such a surge seems intriguing given new continent-wide lockdowns. The explanation lies in consumer cyclicals, which Refinitiv I/B/E/S predicts will post an eye-popping 3,118% profit gain, versus the pandemic doldrums of Q1 2020.
Drilling down to single stocks, Daimler (1,471%), Fiat Chrysler, now Stellantis (177%) and Volkswagen (602%) turn out to be the largest contributors. Carmakers have seen their biggest earnings revisions in a decade and boosting shares to 14-month highs.
Graphic: Autos – https://fingfx.thomsonreuters.com/gfx/mkt/qzjvqmnwxvx/Autos%20hold%20key.JPG
The coming week brings prelimary Q4 GDP data from France, Spain and Germany. Okay, the data is outdated and we already know the first quarter will show an activity dip from lockdown extensions. But let’s not be too hasty in dismissing the end-2020 numbers.
If the economies fared better than expected, it provides a cushion for the blow coming this quarter – that is the conclusion some reached after 2020 growth in powerhouse Germany turned out less bad than feared.
Also pay attention to Germany’s January inflation numbers, out Thursday. Those could show that a reversal in VAT cuts is easing the downward pressure on prices. In short, amid the pain inflicted by lockdowns, some positives might well lurk.
Graphic: Germany’s GDP data set for a bumpy ride – https://fingfx.thomsonreuters.com/gfx/mkt/xlbvgyjmmvq/theme2201DR.PNG
(Reporting by Ira Iosebashvili in New York; Vidya Ranganathan in Singapore; Karin Strohecker and Dhara Ranasinghe in London; Danilo Masoni in Milan; compiled by Sujata Rao)
Hisham Itani and Resource Group Recognized in the 2020 Global Banking & Finance Awards®
Global Banking & Finance Review has awarded Hisham Itani the Chairman and CEO of Resource Group, Technology CEO of the Year Middle East 2020 in recognition of his vision, strategy and strong leadership that have contributed greatly to Resource Group’s success in winning the Most Innovative Holding Group Middle East 2020 in this Global Banking & Finance Awards®.
Resource Group is an investment group with a portfolio of diversified businesses that capitalizes on technology and human talent for value creation. The company has proven that it has gone the extra mile to develop innovative solutions aimed at improving people’s lives and helping Lebanon transition toward a knowledge-based economy. Global Banking and Financial Review, the renowned online and print magazine identified a number of areas that Resource Group has excelled. The company has been awarded Most Innovative Holding Group Middle East 2020, and Hisham Itani the Chairman and CEO, receives the award for Technology CEO of the Year Middle East 2020. Under his leadership, Resource Group has grown from a family security-printing business to a diversified international investment group, with a portfolio of companies across 10 sectors in over 75 countries.
Wanda Rich, editor Global Banking & Finance, said “Mr. Itani took the security printing business to another level and expanded into different technology verticals in an impressive list of success stories”. The list includes digital security, smartcard manufacturing, mobile value added solutions, cyber security and secure communication solutions, telecom infrastructure and managed services, elections supply chain services, lottery systems and operations, mobile and virtual reality games, among others.
Resource Group’s focus on technology has had a constructive and tangible impact on government automation and on citizen experience in target markets.
Editor Wanda Rich says “We are proud to offer Resource Group these prestigious awards and wish them continued success and growth into 2021 during these challenging economic times”.
Global Banking and Finance Review is a renowned online and print magazine. The magazine’s website alone receives over 7 million page views annually. Global Banking and Finance Review provides a balanced view with formative and independent news from the financial community. The Global Banking & Finance Awards® were created to recognize companies of all sizes that are prominent in particular areas of expertise and excellence within the global financial community. The awards are known throughout the global banking and financial community. They reflect the innovation, achievement, strategy, progressive and inspirational changes taking place within the financial sector.
Bouncing back in 2021: Digital Transformation is no longer a choice as dependence on 5G, IoT and Data increases in society and business
By Ivan Ericsson, Head of Quality Management, Expleo Group Limited
The global pandemic has put enormous strain on businesses and brought into sharp focus the importance of being agile, adaptable and able to increase the pace of innovation and change at short notice – catapulting technology right to the top of the agenda for many organisations.
As the economy works to get back on its feet, technology is only going to play a bigger role in our lives. At Expleo, as experts in digital transformation and the reliable implementation of technological innovations, we’ve outlined the biggest tech-driven trends that we expect to see in 2021 and beyond.
1) “Digital transformation” no longer a choice
If the COVID-19 pandemic has taught businesses anything, it’s that they need to be poised to respond to abrupt market disruption at any moment, making digital transformation mandatory overnight.
With no room for delay, hugely complex corporations – that have historically been slow to adopt technology – have had to accelerate their reliance on technology just to keep afloat in recent months. Digital change, at speed, has become the norm.
Even last year, the idea of an unscheduled video conference call might put people on edge – now most of us wouldn’t think twice about calling a colleague over Teams or Zoom even for a 2-minute conversation. At the same time, social infrastructure has moved with the needs of its users, with telecoms giants strengthening and opening up networks so we can keep communicating despite social distancing.
There are now very few excuses left for operating in a non-digital way. All businesses need to be intelligent businesses that can change direction nimbly, with speed, confidence and composure. As we see more businesses putting this into practice, it’ll likely result in an increased number embracing and normalising some of the behaviours of tech-savvy giants like Apple and Amazon, who have no doubt thrived during this period.
Their success can largely be attributed to normalising an agile approach. By ensuring all applications have testing facilities built in – a “quality shadow” if you will – it allows for continuous improvements, and the ability to change direction quickly and confidently, when needed. This is particularly valuable today as the world becomes more fast-paced and increasingly unpredictable.
2) Big data/AI/predictive analytics
We’re moving into a space where big data can be extracted from the most seemingly innocuous places. In a hyper-connected world, a move as simple as a dog walk could offer huge swathes of data to the right companies. Many businesses already realise the benefits of capturing and utilising big data, but not all have taken advantage of it. The businesses that move quickest are most likely to reap the rewards in a more impactful way than their ‘data shy’ competitors. Where data used to be a side effect of business operation, it is now the driving force.
As businesses begin to rely more heavily on data to make critical decisions, independent assurance becomes increasingly important to get those decisions right. Forward-thinking, data-driven organisations must therefore assure that the data is correct in the first place, to avoid giving businesses false confidence and risk them moving in the wrong direction – something that is rarely affordable in today’s competitive and fast-paced environment. If businesses are not 100% confident in assuring the quality and accuracy of their own data, they should look to a third party for support.
A key data trend we expect to see moving further into 2021 is the increased use of predictive analytics. At the moment, businesses will often use data analytics to give us insights into our past activities, or to tell us where we are right now. However, the real value lies in knowing where we are going and how we are going to get there. Data analytics will help to identify the optional levels that can be pulled to drive change and realise business benefit.
Secondly, as intuitive technology advances and becomes more accessible, we expect over the next 12 months to see companies of all sizes begin to adopt artificial intelligence (AI) to drive intelligent analytics. In this context, AI refers to various technologies that allow machines to learn, sifting through ‘messy’ big data in order to find and unlock valuable predictive insights into future events. This allows businesses to better adapt their strategy to likely future outcomes and get a head start in the market.
However, with this ever-increasing emphasis on data and data protection, ethical AI will have a more prominent role to play in 2021 and beyond. Protected, usable Data is a by-product of good data security and privacy measures; however, the public remain wary of how their data is being used, particularly after the fallout from Cambridge Analytica’s use of data to influence an election. Businesses, therefore, must give their customers confidence that their data is secure and protected.
3) Moral relevance/corporate altruism
Research shows that young people are increasingly researching and considering the ethics of brands they’re purchasing from. And it won’t be long before this attitude starts seeping into every other aspect of their lives, with more and more people wanting to work for what they consider to be “purpose-driven” businesses.
Talent is the lifeblood of any company, so for big corporations, many of whom were born to create profit, this could put them in a tricky position. They might already be influencing society in a positive way – but this is unlikely to have ever been their main goal.
Moving forward, however, all organisations will have to start thinking about the “Triple Bottom Line”. That means considering the environmental and social impact of your business, alongside your commercial imperative.
We’ll soon see a mindset switch across businesses, from ‘competing’ to ‘advancing’. Instead of wanting to be the “best,” the question will be, how can I better serve the world around me?
In line with this, businesses will have to start thinking more about how to use tech for good, as we’ve seen with the likes of Microsoft Teams connecting tens of millions of people every day, during this very dark time.
2021 is likely to bring even more inroads when it comes to using technology to improve society, whether it’s developing bespoke problem-solving technologies or using IT to ‘eco-proof’ existing sectors, the goal for businesses is to rise to this challenge and build a better future for people and the planet through the use of technology. But all organisations will continue to need to be able to justify technology use and prove that they’re using it ethically, and in a secure manner.
4) 5G new networks – just about all big trends are driven by/reliant upon faster networks – particularly relevant for a more distributed workforce
Greater access and utilisation of 5G networks across the country will underpin and accelerate all of the key trends discussed. Everything we do on our smart devices we can expect to do at higher speed, greater capacity and with lower lag times.
As our digital footprints extend beyond simple web browsing and into our daily lives through smart technology, we are creating huge amounts of data every minute. This vast flow of data is increasingly dependent on new high bandwidth networks to facilitate it. Therefore, the merging of technology and engineering will become critical in ensuring big data is carried successfully to drive analytics and drive business.
The fact we have managed to successfully work from home during COVID is a glowing recommendation for the quality of the networks as they exist today, and they will only get better.
The telecoms industry is already working overtime to ensure that people all over the country get reliable access to the internet – and the fact that there is still inequality in this area proves just how challenging this is. But, in line with this trend toward hyper automation, which will make data extraction and analysis a part of everyday life for businesses, the consolidation of tech and engineering will be ever more important.
Forward-thinking companies will look to incorporate 5G networks into their business strategy. This could be from an internal perspective to enhance the abilities of their remote workforce. Alternatively, this could relate to their own products or offerings – developing an internet of things (IoT) strategy, improve user experience, or bring products to market faster by analysing big data and adapting quicker. Either way, with increasingly improved networks, businesses are expected to take advantage of the huge increase in accessible and usable data.
For businesses to truly reap the benefits of these new technologies, they must be developed and adopted in the right way.
Quality assurance, trust and security are three key requirements that the technology of the future depends on to succeed. Having these requirements at the heart of any digital transformation will ensure that systems perform reliably, having been tested and assured.
By prioritising a seamless customer experience combined with an ability to create, test, and scale digital solutions and operationalise at pace, businesses will be in the best possible position to take advantage of the potential being unlocked by these new technologies.
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