FOLLOW

FOLLOW

SHARE

How is data remodelling the FS ecosystem?

With a rapidly changing financial ecosystem, what’s next for data technologies?

14Jul

The future of high street banks seems to be uncertain, with digitally-led customers increasingly looking elsewhere, coupled with the growing trend of self-service. Despite the many new market entrants in this sector, however, banks still have a clear advantage thanks to long-term relationships built with tens of millions of customers, and vast internal data pools formed as a result. With millions of daily transactions across email, mobile and online channels, today’s financial institutions have a unique, holistic view of their customers and can use this valuable information to understand consumer segments and their behaviours with improved preciison.

To keep abreast of financial technology advances and stay ahead of new disruptive competitors, banks must understand the value of this data, capitalize upon the insights within it and serve their customers better with more relevant, personalised offers.

Improve your understanding of data

High street banks and private financial service organizations have a 360-degree perspective on customers. This gives them the potential to develop new initiatives and cross-marketing events, as well as loyalty programmes linked to credit card and current accounts, for instance. It also presents an opportunity to protect customers from cross-channel fraudulent activity and strengthen the bank’s reputation for security and solvency. Banks can deliver tangible monetary benefits to consumers who use their new mobile services. However, they’re only using a small portion of their available data and are therefore missing a prime opportunity for engagement with customers.

Traditionally, we have seen data locked away in software which is used by different groups within the organisation. On top of this, banks often use incompatible data technologies, which makes it difficult to share market intelligence across various business groups. Banks also have long development cycles -taking over a year to plan and deploy new information systems - which makes them less responsive to the changing consumer and technology marketplace. In addition, many banks are not adopting a mobile-first strategy, or drawing value from this data, which is critical in light of an ever more mobile-centric and digitally-led consumer base.

Improve your engagement with customers

Facing intense domestic and international rivalry, banks and financial organizations must now engage better with customers in order to maximize longevity. This is especially true in the wake of challenger banks, born from the regulatory and political efforts to inject competition into the sector. To emerge ‘victorious’ at this time of uncertainty, banks must deploy mission-critical analytics tools to provide them with access to real-time data. This will help them to improve their agility and decision-making abilities from the back office to the front desk of each branch.

Universally, business strategy is to increase market share and revenues, and banks’ underlying IT infrastructure must be as fluid and responsive as possible to achieve this. Traditionally, banking IT departments have used siloed, disparate systems and physical hardware platforms which were designed to support single applications. To speed up access to customer data and therefore, consumer satisfaction, there must now be a transition to more flexible and intelligent operating systems which harness the use of big data. This will enable banks to engage better with customers, personalize outreach based on individual user profiles and offer the right service and product at the right time.

Reduce risk and accelerate analysis

Elsewhere, by using sophisticated analytics features, and real-time customer data, banks’ risk management departments can access information on customer-purchasing behaviour. This enables them to make immediate adjustments to individual customer credit limits or lending rights for instance, if they are a concern. Taking this one step further, the correct use of data science can help operations and analysis dig deeper, enabling CIOs to find informational patterns to identify and spot different types of fraudulent activity, from card ID theft, to card-not present (CNP) fraud. 

Every industry is being disrupted by rapid, consumer-friendly advances in software and services. Banks understand digital transformation and most major UK banks currently offer their customers some form of mobile banking. But there is still a long way to go and ultimately, banks must use their available data to not only to change the way they do business, but to pioneer new strategies that build on their strengths and undermine the growth of non-bank disruptors. 

Comments

comments powered byDisqus
Glassessmall

Read next:

Working At The Boundaries Of Aesthetics And Inference

i