Скачать или смотреть Accelerating mainframe modernization with a data first approach

CGI experts shared real-world insights on how financial institutions can overcome legacy barriers and unlock new value through data-driven modernization.

Key takeaways:

Modernization is no longer optional: Legacy systems are increasingly a barrier to innovation, agility, and compliance. Organizations that delay modernization risk falling behind.

A data-first approach de-risks transformation: By decoupling and activating data early in the journey, organizations can reduce risk, enable faster wins, and maintain business continuity. This approach supports phased modernization—whether in-place, hybrid, or migration-led—while laying the groundwork for advanced analytics, AI, automation, and real-time decision-making. It accelerates time-to-value and enables scalable innovation, all without disrupting critical operations.

There’s no one-size-fits-all, modernization exists on a spectrum: Organizations can choose from a range of approaches based on their risk tolerance, business priorities, and operational needs. Whether modernizing in place, migrating to the cloud, or adopting a hybrid model, success depends on tailoring the path – not forcing a single solution.