Simon Shaw, Head of Financial Services and Insurance at Software AG, outlines three ways in which larger banks can – and must – make their business models more agile.
In the months since COVID-19 reared its ugly head and changed the way we live, there has been a noticeable uptick in conversations around digital transformation and embedding resilience. In the banking sector, the focus had been on the increased demand for online banking and questions around how banking monoliths will adapt.
The reality is that big banks can adapt – albeit slower than other industries. That’s not to say that change isn’t happening; banks have been transforming for years to align with changing customer needs. However, it’s a distinctly difficult and complex challenge. In fact, one of the primary challenges with digitalisation in banking is that moving quickly doesn’t happen easily. Of course, CFOs and financial leaders would love to quickly pivot their operations to meet changing needs and new requirements, but in their current state, most incumbent banks don’t yet have that capacity.
To achieve digitalisation, banks are grappling with many moving parts. From regulatory requirements, to safeguarding customer data, to overcoming silos – and that’s before we consider the sheer cost of it all. I have identified three ways for established banks to pivot more quickly and efficiently in today’s climate.
A significant challenge in the digitalisation of big banks is that their ecosystems simply weren’t designed to enable quick transformation. Changes that may seem simple, or are simple in other sectors, can require full programme rewrites when applied in banking. The legacy systems on which most large banks are built are clunky and inflexible. Since these systems don’t run in real-time, they’ll never compete with the efficiency and analytic capabilities of challenger banks. Yet, despite that, these established systems actually hold the key to future success in banking – data.
The wealth of data contained within a heritage system has the potential to entirely transform the customer experience. However, to do so, banks must be able to access and integrate that data at speed.
A significant challenge in the digitalisation of big banks is that their ecosystems simply weren’t designed to enable quick transformation.
Hybrid cloud presents the best of both worlds; it combines the operational stability of on-premise solutions with the scalability, reduced cost and data accessibility of the cloud. Breaking up isn’t easy but, according to IBM, banks that are outperforming their competitors are 88% more likely to have incorporated hybrid cloud into their business model. For banks with decades of data in monolithic technology stacks, turning certain data and tasks over to the cloud can significantly lighten the load on their ecosystem to improve efficiencies.
Digital transformation has changed banking expectations. Customers want speed and convenience and banks are competing to deliver. Excellence requires efficiency, but that can be difficult to achieve.
Process mining identifies optimisation opportunities and strives for excellence in process performance. As the name suggests, process mining delves into the detail of what occurs as a process is actioned, revealing patterns, anomalies and the root causes for inefficiencies. With greater insight into processes, banks are able to make informed decisions and tangible improvements to quality and performance. To compete with the challengers, established banks need to embed the ability to adapt to changing business requirements and make transformation routine. The first step to this is visualisation.
If hybrid cloud is the vehicle by which digitalisation is achieved, process mining is the check engine light.
One of the biggest challenges to transformation lies in evolving away from heritage applications. Transitioning from old to new is daunting and can come with a hefty price tag. Microservices enable banks to transform piece by piece and scale at a controlled rate.
Transformation in data-reliant and regulation-heavy sectors will never be a walk in a park, however, microservices start small by design. This returns much needed control to banks and ensures complex changes are developed and tested independently before being integrated into the banking ecosystem.
To fundamentally change business operations, the very foundations of that organisation need to be redesigned. This applies across industry, which is why, between 2018 and 2023, the microservices market is predicted to nearly triple as more organisations shift their transformation up a gear.
Microservices embed agility and efficiency from the outset, making digitalisation a cultural and technological change. By returning control and enabling a customer-centric and scalable design, transformation can add big value to big banks.
In banking, where archaic systems and rigidity have been governing organisational change for years, digital transformation really means reinvention and growth. While the end-goal is easily defined – agility, resilience, scalability, digitalisation, etc. – it’s difficult to know what’s needed to achieve it. When the dependencies, regulatory requirements and price of change are thrown into the mix, it’s no wonder that change takes time in the financial sector.
Hybrid cloud, process mining and microservices create the foundations for development by embedding transformation capabilities into the very core of a banks system. While financial institutes will always be subject to a high level of scrutiny, strategic solutions that bring order, visibility and an ability to compete with smaller and more agile banks are truly transformative.