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IT’S TIME FOR BANKS TO SIT THEIR CUSTOMERS DOWN AND TALK OPEN BANKING

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Eugene Danilkis, CEO at Mambu

 

We are living in an experience economy, and banking is no different. Customers need innovative payment and finance management solutions. New entrants are edging into the landscape and challenging existing players. This should mean users have a better view of their finances and the tools they need to manage their money – but banks are failing to deliver.

Personal finances are a complex beast, emotional pulls are strong, and the worry of financial security is always on the mind. It’s the job of banks to be the shoulders customers can lean on and trust.

Open banking was supposed to take this to the next level, enabling banks to deliver personalised products and services based on improved data sharing and customer insights. But three years on, adoption remains sluggish. So, why is open banking failing to live up to its promise?

 

A missed opportunity

Open banking was introduced to the UK in 2018, but consumers are still mired in confusion as to what it means and how it helps them. According to Mambu’s global open banking survey, 61% of consumers say they’ve never used open banking, despite more than 8 in 10 using one or more mobile banking apps.

Eugene Danilkis

This is a problem for banks and consumers alike. Lack of understanding around the technology is hindering its adoption, despite this being in the best interests of both. By enabling the secure sharing of financial information, open banking creates an improved customer experience. Not only does this minimise friction and make online payments faster and easier, but allows for personalised services and greater automation, enabling customers to take advantage of tools like budgeting apps.

For banks, open banking is an opportunity to build innovative new products that will improve the customer journey, helping them retain accounts and acquire new ones. By collaborating with third parties, banks can hyper-target customers and build services that address specific user needs, increasing customer satisfaction and in turn brand loyalty.

It’s true there’s been a recent spike in open banking users. According to Juniper Research global, open banking users rose from 18 million in 2018 to 40 million in 2021. But this can be traced to the necessities of a pandemic rather than any sudden clarity in communications.

 

Putting customers at the heart of communication

Mambu’s research shows more than half of consumers (52%) have never heard of open banking. COVID-19 may have increased the uptake of the technology, but it hasn’t increased understanding among users.

So, what can banks do to encourage consumers to embrace open banking? Fundamentally, they must better educate their customers in terms they understand. This means talking to them like human beings, using clear and transparent language to simply explain the personal benefits open banking brings and why it’s really just smart banking.

The understanding gap between technology and terminology shows that consumer demand is there, but better communication is needed. Making sure consumers truly understand the tools they’re using, the control they now have over their finances and how open banking improves the customer experience is vital to dispersing the current fog of confusion. It’s the benefits of this technology that banks need to hone in on: customers ultimately care about what open banking can do for them and how it’s going to make their lives easier.

Centering the customer and their needs in this way will allow banks to fully realise open banking’s potential. The technology has already given them the opportunity to develop valuable services for customers that help build brand loyalty. But the industry has failed to put the customer at the heart of their communications and processes, and show them how much better banking can be.

 

Building trust

Key to reversing this trend is addressing consumer concerns around data privacy and financial safety. Yes, banks need to prioritise simplicity and clarity in messaging, but this isn’t an excuse to shy away from important conversations. Just because there’s an understanding gap around open banking doesn’t mean consumers aren’t switched on about tech and financial issues.

Mambu’s survey found nearly three in five customers have concerns about privacy and security in relation to open banking. So, it’s vital that banks provide reassurance and relevant information about data sharing from the outset if they’re to assuage these fears.

The industry can also encourage greater adoption by developing and improving open banking interfaces. Banks are the gatekeepers to how easily end-users can authorise certain actions, manage third-party access and navigate different open banking functions. If the interface is user-friendly, customers will have a better experience of the technology and be more likely to use and recommend these services.

 

Time to get talking

Customer communication is holding the industry back.. The ability of open banking to transform financial services is a concept that industry players are well-versed in. But the feeling isn’t mutual for customers.

Banks are failing to capitalise on the open banking opportunity by engaging with new and existing customers about what the technology can do for them. Debunking  common myths can open the door to increased growth and trust for banks, as they seek to open up new revenue streams post pandemic..

Make no mistake, open banking isn’t going away. But customers will if banks don’t get talking.

 

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.

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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