Modernizations and legacy systems in banking
Zmiany technologiczne w dzisiejszym świecie następują w bardzo dynamicznym tempie. Szybko rozwijające się technologie stawiają bankowość przed trudnym wyzwaniem: jak efektywnie modernizować istniejące systemy informatyczne, jednocześnie zachowując stabilność operacyjną? Systemy legacy, mimo swojej niezaprzeczalnej wartości, stają się barierą dla innowacyjności. W Polsce, gdzie sektor bankowy od lat inwestuje w cyfryzację, dylemat między modernizacją a utrzymaniem systemów dziedziczonych staje się coraz bardziej palący. W artykule przyjrzymy się, jak banki radzą sobie z tym wyzwaniem, jakie strategie adaptacyjne wdrażają i jakie korzyści oraz ryzyka niesie za sobą rozbudowa tych kluczowych, ale często przestarzałych rozwiązań.
Rapid Technological Development
Rapid Technological Development The banking sector, more than any other, must adapt to the rapid pace of technological development. Customers today expect immediate access to financial services through mobile apps, online banking, or digital payments. New technologies, such as artificial intelligence, blockchain, and open banking, are revolutionizing the way financial institutions operate. However, legacy systems, which often rely on outdated programming languages and architectures, are not flexible enough to quickly and effectively integrate with these innovations. Therefore, banks must balance modernity with the limitations of older solutions.
Security and Regulatory Compliance
Regulations regarding personal data protection, such as GDPR, and financial security standards impose high requirements on banks. Legacy systems, which were developed many years ago, were not designed with modern cybersecurity threats or new regulations in mind. Modernizing these systems often requires comprehensive and costly updates to meet new standards. Moreover, banks must ensure that their systems comply with various regulatory requirements at both national and international levels, which further complicates the management of older systems.
Maintenance Costs
Maintaining legacy systems is becoming increasingly expensive over the years. Banks must not only invest in maintenance but also in integrating these systems with new technologies. This means that instead of investing in innovation, a large portion of IT budgets is allocated to the ongoing maintenance and repairs of outdated solutions. Older systems are also less efficient and more prone to failures, generating additional costs in the form of downtime or data loss. In the long term, continuing to maintain legacy systems becomes unprofitable, which forces banks to make decisions about migrating to modern solutions.
Challenges with Integration
Implementing new technologies in banking requires seamless integration with existing systems, which is exceptionally difficult when dealing with legacy systems. Older IT architectures are often incompatible with new solutions, leading to the need to create complex interfaces and temporary solutions. These types of integrations are time-consuming and costly, and they can also reduce operational efficiency. As a result, banks must make decisions regarding investment priorities—whether to modernize systems step by step or conduct a comprehensive migration to a new platform.
IT Staff
One of the less obvious, but equally important challenges associated with maintaining legacy systems is the shortage of IT specialists with experience working with these older technologies. Developers and administrators who worked on these systems often retire or change specialties, leading to a shortage of experts. Training new employees in older technologies is time-consuming and inefficient, especially in the face of rapidly changing technological standards. The lack of qualified staff further complicates banks' ability to manage and expand legacy systems, accelerating the need for their modernization.
How Polish Banking Is Handling This Area
Polish banks are intensively working on modernizing their legacy systems to adapt to dynamic technological changes and growing customer expectations. The main modernization strategies include migration to the cloud, implementation of microservices architecture, and the introduction of artificial intelligence (AI).
1. Migration to the Cloud:
Migrating systems to the cloud has become a priority for Polish banks such as PKO BP, mBank, and ING Bank Śląski. The decision to move older systems (especially those based on mainframe platforms) to cloud environments stems from the need to reduce costs and increase operational flexibility. The cloud offers the ability to scale resources based on demand, allowing banks to implement innovations faster and better respond to changing market and technological requirements. Additionally, with the public cloud model, banks can better integrate with modern technologies like artificial intelligence and blockchain, which was difficult with older solutions (ITwiz) (ITwiz).
However, the implementation of cloud solutions has not been without challenges, particularly in the areas of security and legal regulations. Migration must be conducted with full compliance with data protection regulations such as GDPR. In Poland, cloud migration is gaining importance, especially in light of the increasing number of digital transactions and customer demands (ITwiz).
2. Microservices Architecture:
Banks are increasingly replacing monolithic IT systems with architectures based on microservices, which enable more flexible management and gradual modernization of IT infrastructure. Microservices allow the creation of independent modules that can be developed and updated without the need to change the entire system. This is crucial, especially for older banking systems, where every change required complex processes and tests.
An example of implementing this strategy is a project carried out by IBA, involving the migration of a system from a mainframe platform to a microservices-based solution in Java (ITwizThis modernization enables better integration with new technologies and applications, which in turn leads to more flexible data management and easier integration with fintechs and external partners.
3. Implementing AI:
Artificial Intelligence (AI) is playing an increasingly important role in the transformation of banking systems in Poland. AI is primarily used in data analysis, process automation, risk management, and the personalization of services for clients. Banks such as PKO BP and Santander are implementing AI to improve operational efficiency and security. AI also helps in combating financial fraud by analyzing customer behavior patterns and detecting anomalies in real-time (Gazeta Prawna).
AI systems are also applied to automate customer service processes, such as chatbots and virtual assistants, which help clients with daily banking transactions. AI is also crucial in the field of data analysis, enabling banks to better understand customer preferences and optimize banking offers and products (ITwiz).
4. Cybersecurity and Regulations:
In the face of an increasing number of cyber threats, Polish banks must place a strong emphasis on developing cybersecurity strategies. The implementation of new technologies, such as cloud and AI, requires banks to use advanced security tools, such as behavioral platforms and monitoring systems that analyze customer behavior and detect potential threats. PKO BP and other banks are investing in such technologies to minimize the risk of fraud (Gazeta Prawna).
Legal regulations, such as GDPR, require banks to take special care in protecting customer data. As a result, banks must adapt their legacy systems to comply with new standards, which presents an additional challenge during migration to the cloud or the implementation of AI (ITwiz).
In summary, Polish banks are implementing advanced legacy system modernization strategies, focusing on the cloud, microservices architecture, artificial intelligence, and ensuring the highest security standards. This transformation is crucial for maintaining competitiveness and adapting to growing customer expectations and changing regulations.
