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THE GROWTH OF DIGITAL BANKING: WHY COLLABORATING WITH FINTECHS IS CRUCIAL TO ADAPT TO CUSTOMER DEMANDS IN LIGHT OF THE PANDEMIC

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The growing customer demand for a seamless digital banking experience looks set to transform how the entire banking industry operates. Traditional banks have been left playing catch up with the emergence of new fintech players and challenger banks. The demand for slick digitally finance solutions is led by the digital native generations, the millennials and Gen Z. However, the coronavirus pandemic accelerated the uptake of online shopping and remote working for whole swathes of the population. Even the older generations have been left wondering why accessing banking services online remains so cumbersome.

Consumers’ growing desire to access financial services through digital channels has already led to a surge in various new banking technologies which are reconceptualising the banking industry. Consumers have rapidly moved to adopt payment solutions such as those offered by apps like Revolut.

Manoj Mistry

Retail banks continue to launch platforms in the Banking as a Service (BaaS) space, in an effort to remain competitive. An example of this in the UK is how NeoBank (Starling) used to only offer business to consumer (B2C) retail banking services. However, once it launched its BaaS platform, Starling was able to rapidly diversify to include consumer services.

New technologies like blockchain and artificial intelligence (AI) continue to evolve, and look set to have an enormous impact on banking over the next three to five years. The type of cryptocurrencies that we have seen to date look set to be far more tightly regulated, given significant governmental concerns about their potential for misuse in cybercrime and money laundering.

In the blockchain space, the transformative development which will accelerate the rise of digital finance is the advent of central bank-backed digital currencies. The US Treasury has described the creation of a digital dollar as a high priority project. China is already trialling its digital Yuan. Meanwhile, the ECB is actively pursuing its plans to launch a digital Euro. The launch of stable, highly secure digital currencies, underpinned by major central banks, looks set to ensure that digital finance will permeate every area of our lives in the not too distant future.

How we use digital finance is also set to change radically. We are used to seeing new technology emerge from Silicon Valley. However, an analysis by KPMG Australia suggests that a new breed of apps which prefigures the future of digital finance has already emerged in the East. The report notes that “super apps” are “already encroaching on traditional financial services territory”.

Super apps are defined as apps which “essentially serve as a single portal to a wide range of virtual products and services. The most sophisticated apps – like WeChat and Alipay in China – bundle together online messaging (similar to WhatsApp), social media (similar to Facebook), marketplaces (like eBay) and services (like Uber). One app, one sign-in, one user experience – for virtually any product or service a customer may want or need.

“Due in large part to their versatility, super apps have quickly become ingrained into users’ daily lives. It is not unusual for a WeChat user in China to set up a date with a friend via instant messaging, make dinner reservations, book movie tickets, order a taxi and pay for every transaction along the way, all using one single app.”

We are already beginning to see trends in this direction in the Western world, with Facebook launching a marketplace and even a dating service within its social network. Facebook also attempted to launch its own digital currency, Libra, but this move stalled when it ran into significant governmental opposition. However, Facebook hasn’t given up, and it is determinedly pursuing the launch of a revamped stablecoin, Diem, which has been redesigned to address regulatory concerns.

A group of Citi analysts recently wrote an interesting research paper, which predicts that “the story of digital money in the 2020s will be the growth of tokenised money”. Noting that both Big Tech and Central Banks “are building new payment formats and rails,” they say that “while stablecoins such as Diem await regulatory approval, they could benefit from the huge network effects of their Big Tech sponsors. In fact, Diem could be an effective tokenised payment format inside the Facebook universe.” The paper predicts that “Stablecoins, such as Diem, could benefit from the huge network effects of their Big Tech sponsors”. With 3.3 billion monthly users, Facebook certainly has remarkable global reach.

The idea of an integrated tech platform which enables people to interact and purchase goods and services – including financial services – is now being pursued by many major players.

Amazon has long been rumoured to be planning to launch its own bank. Yet, research by CB Insights concludes that, “from payments and lending to insurance and checking accounts, Amazon is attacking financial services from every angle without even applying to be a conventional bank.” This is perhaps not surprising. After all, tech companies rarely replicate existing models. They usually find disruptive new ways to achieve the outcomes that consumers want. Even the messaging service, WhatsApp, has recently moved into financial services with the launch of WhatsApp Pay.

As money becomes digitised and tokenised and ever more areas of our lives move online, the distinction between an online marketplace, a social network and a financial services provider will continue to blur. How traditional financial services companies react to these developments remains to be seen. Some may partner with tech companies in creating new services. For example, Visa and Mastercard were involved with Facebook’s Libra stablecoin project. Visa also responded to the popularity of peer to peer payment services such as Revolut by launching Visa Direct, which enables users to make payments directly to another account in 30 minutes. Most major banks now support Apple Pay, which enables users to authorise payment by scanning their face or thumb.

Banks can also collaborate with tech companies in terms of data sharing, in order to better understand what their customers want. A company like Amazon knows what books people like, what music they listen to and what they purchase. By combining such data with wider financial data, remarkably predictive Big Data models could be created. Some banks might increasingly pursue opportunities to monetise data, while others might make privacy their unique selling point.

The banking sector fundamentally deals with money. Yet, the very nature of money is set to change, as it becomes digitised. Banks are no longer merely competing with each other, but they are both competing and collaborating with tech companies and social networks. Looking ahead, the only certainty we have is that we are in for a period of remarkable change.

Banking

Augmented automated underwriting and the evolution of the life insurance market

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By Alby van Wyk, Chief Commercial Officer at Munich Re Automation Solutions

 

It’s almost inevitable. Spend your working life identifying, analysing, quantifying and ascribing monetary value to risk, and you’re likely to have a fairly strong aversion to it. Or more accurately, an aversion to undertaking new endeavours with inadequately understood consequences. The insurance industry is, on any number of levels, the very definition of risk-averse.

And yet, for all the commentary suggesting otherwise, insurance still has an appetite for innovation. If the insurtech sector is any indication, then an interest in and requirement for new solutions is being recognised and slowly addressed.

Declan O’Neill

It may not employ the language of disruption that runs through the wider fintech market, it may be short a few unicorns and unable to boast some of the record-breaking funding rounds, but a quiet tech evolution has been building in insurance nonetheless. Hence the advent of automated underwriting facilitated by more advanced algorithms and data analysis.

Where insurtech does overlap with its more vocal fintech counterparts is in the greater use of artificial intelligence (AI) and machine learning to solve age-old problems around data analysis and interpretation.

It’s about five years or so since AI first became a topic of conversation in insurance. Since then, despite the intensity of the debate, it has often felt like a reality that is always just over the horizon – a destination that kept moving even as more and more efforts were directed towards it.

But recent research suggests that the journeys made so far have not been in vain. We are at a point where embracement of AI is about to step up a gear. The global value of insurance premiums underwritten by AI have reached an estimated $1.3 billion this year, as stated by Juniper Research; but they are expected to top $20 billion in the next five years. As a destination, it is closer and more attainable than ever before.

However, AI is not an island. Its promise of $2.3 billion in global cost savings to be achieved through greater efficiencies and automation of resource-intensive tasks will not be achieved in isolation.

AI remains part of a more complex ecosystem of data gathering and analysis. It can apply new technologies to get the best out of the already established and still-emerging data sources that feature in underwriting offices around the world. It emphatically does not require these existing investments to be ripped out, replaced or downgraded.

It is more helpful therefore to see AI as the differentiating factor in the latest generation of insurance IT: augmented automated underwriting, or AAU for short.

AAU gives underwriters the ability to spot patterns and connections that are, frankly, either invisible to the human eye or which take normal, human-assisted processes unfeasible amounts of time and resource to identify.

Whereas earlier generations of automation were able to pick up the low-hanging fruit of insurance markets – the individuals whose driving history fit into clearly delineated boxes, for example – AAU can take into account all of the rich complexity of the human experience. It can spot the nuances and individualities that populate the life market, for example, and translate those into accurate policies.

That’s good news for both underwriters and their customers. AAU can significantly reduce the need for separate medicals, repeated questions, lengthy decision-making processes, and drastically increase the speed at which a potential insurer can get a quote and cover – while continually improving the way risk is calculated and managed.

It can make sure the decision-making process remains in the hands of underwriters rather than IT departments, enabling them to set and update the rules and parameters as befits their preferred business model. It consequently makes advanced, complex and precise decision-making available to a broader range of underwriting businesses – which is good for those businesses, good for customers and ultimately good for the entire industry.

AAU – augmented automated underwriting – is an example of the realisation of AI’s promise. As such, it’s set to become one of the key talking points and disruptive technologies of the insurance industry. And this time, AAU is both a journey and destination that all progressive insurance organisations need to be considering for their future operations.

 

 

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Banking

ESG in the finance and banking industry – are you ready?

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By Julian Moffett, CTO BFSI, EDB

 

Environmental, Social and Governance (ESG) has soared towards the top of banking, financial services, and insurance (BFSI) and other boardroom interests. Organisations everywhere know they need to take ESG and greenhouse gas emissions (GHGs) seriously not only because it is the right thing to do for the future of the planet or because it can help attract and retain talent, but also, because failing to do so may pose a risk to the economic value of their businesses and encourage probes by governments, watchdogs and non-execs. However, complying with complex reporting and going the extra mile to actually deliver on the goals of the rules is a challenge in many ways, not the least of which is in achieving the required excellence in data management to underpin strong reporting on ESG.

 

What is ESG? 

Julian Moffett

ESG is an umbrella term that covers a broad gamut of activities. Gartner defines ESG as “…a collection of corporate performance evaluation criteria that assess the robustness of a company’s governance mechanisms and its ability to effectively manage its environmental and social impacts.”

The CFA Institute describes the environmental element as focusing on “the conservation of the natural world” and includes measuring “climate change and carbon emissions,” “air and water pollution” and “biodiversity” among many other measures. Social considers “people and relationships” looking at areas including “customer satisfaction,” and “gender and diversity.” Governance covers “standards for running a company” and analyses factors such as “board composition,” “audit committee structure” and “audit committee structure.”

 

Status of the current regulatory environment

There are many bodies proposing rules to formalise ESG monitoring and seeking to ensure corporate compliance. Some example groups, frameworks and bodies:

  • The Task Force on Climate-related Financial Disclosures (TCFD)
  • Streamlined Energy and Carbon Reporting (SECR)
  • The International Regulatory Strategy Group (ISRG)
  • The Sustainability Finance Disclosure Regulation (SFDR)
  • The International Sustainability Standards Board (ISSB)
  • The Sustainability Accounting Standards Board (SASB)
  • Sustainable Development Goals (SDGs), the Global Reporting Initiative (GRI) support efforts such as the US SEC’s Climate and ESG Task Force.

Financial services organisations are very aware that the current regulatory landscape is far from mature (and will continue changing) both in terms of alignment between bodies and also with regard to when the new rules will come into effect. At the of time of writing:

  • The requirement for Scope 2 disclosures (see below for description) for the Sustainable Finance Disclosure Regulation (SFDR) will likely come into effect in 2023
  • A proposed Corporate Sustainability Reporting Directive (CSRD) should be agreed by the European Parliament this year for implementation in 2024 to report on performance in 2023.
  • Meanwhile, the SEC has just released its proposed rules for climate-related disclosures, which,if passed in legislation, may come into effect as early as year end 2022.

 

Reporting Obligations 

Reporting can cover a wide range of areas covering energy consumption, GHG emissions, water consumption and waste management to health and safety, labour rights, diversity and inclusion to ethical conduct, and even areas such as appropriate executive compensation.

While the regulatory reporting obligations are not yet finalised, the expectation is that compliance may prove to be an onerous task. For example, organisations are under pressure to monitor carbon emissions but even so-called Scope 1 emissions (those that come from owned or controlled emissions) can be hard to track. Factor in Scope 2 (indirect emissions such as purchased power) as well as Scope 3 emissions from up and down value chains, and the reporting task at hand is difficult indeed.

To measure, monitor and manage in addition to staying on the right side of rules, organisations need to have excellent data management fundamentals, strong reporting tools and a new class of applications, which also have the agility to adapt to rapidly changing regulatory demands. Data will be used both to support decarbonisation measures but also to identify where there are disclosure gaps. It was telling that when the SEC issued a press release on its Enforcement Task Force, it specifically referred to data:

“The task force will also coordinate the effective use of Division resources, including through the use of sophisticated data analysis to mine and assess information across registrants, to identify potential violations.”

Having reliable data comply with emerging rules isn’t the only essential requirement for organisations. Institutions need such data to understand where they are in their journey to sustainability, so that they can set sensible targets and track progress against them. Organisations will have to cover the data trifecta of availability, management and transparency. Many organisations may be stuck in the early stages of managing ESG, overly relying on manual processes, spreadsheets and email. But their target should be to get to real-time data insights that are easily visualised, understood and shared. As a foundation, BFSIs need to capture, manage and securely share data reflecting consumption and safety to emissions, financials and data from surveys measuring results against ESG targets. Data emanating from ERP and other back-office systems, performance data from third-party associates, media and social network coverage, spatial/geolocation systems and beyond should also be factored in.

 

Actually reducing GHGs

Organisations are using a wide variety of ways to reduce emissions and improve their footprints from using renewable energy sources to making secondary use of energy; for example, in the case of one university, this is done through capturing data centre heat in hydroponics. For IT, making broader use of multitenancy in cloud computing and hosting services is a popular way to reduce emissions. Not only do these large data centres offer an economy of scale, they also tend to be state of the art in their use of renewables and highly efficient hardware and other infrastructure. Gartner, in an article titled The Data Centre Is Almost Dead, says it expects 80 percent of enterprises will close in-house datacenters by 2025. For me, the jury is out on this one but an interesting one to monitor going forward.

 

Conclusion

We are at the start of a very significant inflection point in regulatory and consumer expectations around ESG. BFSIs should be under no illusion that momentum is building rapidly in terms of having to address strict reporting requirements and implement strategies to reduce GHGs.

However, we also see this as a time of positive change. As the leading provider of Postgres, EDB is excited to help organisations further their ESG goals as the journey unfolds. We are closely monitoring the implications of ESG regulations as they will give rise to a new class of applications and drive adoption of green data centres. We see OSS, including Postgres, as playing a key role in this shift as often the movement to private and public cloud helps accelerate application modernisation and enables displacement of outdated incumbent technology (including database) platforms. As the leading provider of Postgres, EDB is excited to help organisations further their ESG goals as the journey unfolds.

 

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