Published by Gbaf News
Posted on September 15, 2017
By Rahul Singh, President – Financial Services, HCL Technologies
Is the Swiss banking industry still the most attractive financial destination in the world? Probably, but it is becoming increasingly clearer that the sector will need to fight to maintain status quo in the face of disruptive innovations, stringent regulations and their impact on the banking landscape.
The past decade has brought in multiple new reforms and regulations to an industry that is already struggling with low interest rates and compromised margins. A recent example is the agreement on the new tax transparency standard, the Automatic Exchange of Information (AEOI) Act, which requires Swiss banks to annually disclose customer details to 38 member states. This number is only expected to increase as agreements with more countries get ratified.
These developments, along with other regulatory reforms that are underway, place a considerable operational burden on the already stressed banking community. The situation is likely to get tougher amid a sea change being brought about by digitisation and the rising pressure from cross-sector competitors. To add to this, the industry’s operational costs are growing at an average 2.2% per annum, owing to massive administration overheads, according to global management consultancy, Oliver Wyman.
But not all is as grim as it seems. While it is true that the compliance operations and mounting costs are taking a heavy toll on the industry, technology promises new opportunities in the form of innovative offerings and efficient banking workflows.
Advancements in artificial intelligence (AI), robotic process automation (RPA), and machine learning are particularly of importance to banks, as they have the potential to significantly improve operating margins. While these technologies themselves are not new, the Swiss banking industry, with its legacy systems and complex operational models, has been sluggish in embracing them.
While Swiss banks have been fairly successful in rolling out several digital offerings recently, they have not been very nimble in upgrading back office operations. But as digitisation grows and regulatory requirements change, banks will need faster, more efficient processes, which legacy systems will be unable to provision. By turning to technologies such as RPA, Swiss banks can pre-empt such a situation and ensure they are more future-ready.
RPA, the use of software to handle high-volume, repeatable tasks to automate almost any activity, can boost the efficiency of a wide variety of back office operations; including regulatory reporting, client statements, and loan processing.
RPA, in addition to automating routine tasks, can also help enterprises reduce their costs by up to 65%, while simultaneously improving the time to complete these tasks. Unlike other technologies, RPA can work right alongside legacy systems, making it highly suitable for the typical legacy environments of Swiss banks’ back offices.
So how can Swiss banks take advantage of RPA to streamline operations? What are some of the best practices? How do you successfully implement RPA? Here are 8 steps to effortless RPA implementation:
RPA can completely transform Swiss banking operations to become quicker, efficient, and more reliable; while still enabling a lower total cost of ownership. In today’s consumer-driven market where more and more banking services are getting commoditised, automation has become essential for the banking industry to flourish.
Automation will enable Swiss banks to channel their expertise towards core banking operations and customer services instead of non-core activities. And contrary to popular belief, automation will only create more employment, through more demand for higher-skilled jobs, ultimately proving to be far more beneficial to the whole economy than is evident at first sight.
In other words, RPA is an opportunity Swiss banks cannot afford to miss if they want to sustain their long-envied market position.
By Rahul Singh, President – Financial Services, HCL Technologies
Is the Swiss banking industry still the most attractive financial destination in the world? Probably, but it is becoming increasingly clearer that the sector will need to fight to maintain status quo in the face of disruptive innovations, stringent regulations and their impact on the banking landscape.
The past decade has brought in multiple new reforms and regulations to an industry that is already struggling with low interest rates and compromised margins. A recent example is the agreement on the new tax transparency standard, the Automatic Exchange of Information (AEOI) Act, which requires Swiss banks to annually disclose customer details to 38 member states. This number is only expected to increase as agreements with more countries get ratified.
These developments, along with other regulatory reforms that are underway, place a considerable operational burden on the already stressed banking community. The situation is likely to get tougher amid a sea change being brought about by digitisation and the rising pressure from cross-sector competitors. To add to this, the industry’s operational costs are growing at an average 2.2% per annum, owing to massive administration overheads, according to global management consultancy, Oliver Wyman.
But not all is as grim as it seems. While it is true that the compliance operations and mounting costs are taking a heavy toll on the industry, technology promises new opportunities in the form of innovative offerings and efficient banking workflows.
Advancements in artificial intelligence (AI), robotic process automation (RPA), and machine learning are particularly of importance to banks, as they have the potential to significantly improve operating margins. While these technologies themselves are not new, the Swiss banking industry, with its legacy systems and complex operational models, has been sluggish in embracing them.
While Swiss banks have been fairly successful in rolling out several digital offerings recently, they have not been very nimble in upgrading back office operations. But as digitisation grows and regulatory requirements change, banks will need faster, more efficient processes, which legacy systems will be unable to provision. By turning to technologies such as RPA, Swiss banks can pre-empt such a situation and ensure they are more future-ready.
RPA, the use of software to handle high-volume, repeatable tasks to automate almost any activity, can boost the efficiency of a wide variety of back office operations; including regulatory reporting, client statements, and loan processing.
RPA, in addition to automating routine tasks, can also help enterprises reduce their costs by up to 65%, while simultaneously improving the time to complete these tasks. Unlike other technologies, RPA can work right alongside legacy systems, making it highly suitable for the typical legacy environments of Swiss banks’ back offices.
So how can Swiss banks take advantage of RPA to streamline operations? What are some of the best practices? How do you successfully implement RPA? Here are 8 steps to effortless RPA implementation:
RPA can completely transform Swiss banking operations to become quicker, efficient, and more reliable; while still enabling a lower total cost of ownership. In today’s consumer-driven market where more and more banking services are getting commoditised, automation has become essential for the banking industry to flourish.
Automation will enable Swiss banks to channel their expertise towards core banking operations and customer services instead of non-core activities. And contrary to popular belief, automation will only create more employment, through more demand for higher-skilled jobs, ultimately proving to be far more beneficial to the whole economy than is evident at first sight.
In other words, RPA is an opportunity Swiss banks cannot afford to miss if they want to sustain their long-envied market position.
