Today’s customers demand more compelling user experiences from their banks.
“They demand more access, they demand higher levels of performance,” Austin Spiers, director of serverless support strategy for Fastly, told PYMNTS in an interview.
And creating these new experiences requires efficient and responsive technology, helping financial institutions (FIs) innovate even as they navigate deeper into digital channels to engage customers in an ever-active economy.
Edge computing can help FIs reduce data processing costs and deliver new content to end users, expanding the products and services available in the conduct of daily financial life across digital channels.
See also: Fastly Says Edge Cloud Computing Is The Best Way For FIs To Connect And Become Personal
But as these banks adopt more systems, adding more software into the mix and new vendors in their supply chains, there is a major challenge.
“All of these systems emit data,” especially when businesses move to the cloud, Spiers told PYMNTS, “and collecting that data can come at unexpected costs when it comes to managing that data.”
To combat these costs, which can arise months later and negatively impact margins, he said there is a workable solution: make sure that as a business you only collect the data. which you need.
Take only what you need
As Spiers told PYMNTS, “There are certain requirements for multiple years of storage and for data retention, but not all systems and data require this level of storage. “
He also noted that another way for companies to reduce data costs is to create strong data governance models. With the optimal architecture in place, they can ensure that only unique data is captured. Redundant data also has its costs, especially in terms of collection and storage.
Shifting to the cloud, and especially advanced computing, can help businesses small and large, he noted. Conceptually speaking, in advanced computing, data is brought together by various parties who need access to that information, using application programming interfaces (APIs) to capture and deploy data faster and more efficiently. more transparent.
“Previously, creating highly personal, data-driven, secure systems – well, that was an extremely expensive operation,” said Spiers. “But the latest cloud systems are designed to allow a higher degree of user personalization without sacrificing data or security. “
Additionally, these systems can operate in parallel with existing infrastructure, as the latter can be phased out rather than through a pull-and-replace strategy that could disrupt FIs, he said.
The shift to advanced computing can help incumbent businesses more fully embrace the mobile initiatives that are transforming payments and the ways we interact with the modern economy. This is in part because state-of-the-art computing, either as a complement to, or as a possible replacement for, traditional or legacy FI content delivery networks, enables enterprises to reduce latency while increasing scalability, which in turn contributes to the technical aspects of load balancing and imaging optimization.
“If we take a step back, mobile is not inherently about the device in our pocket,” Spiers said. “This is the device that we carry with us at all times. And so, it comes down to the way customers want to do business.
These customers want access to their data, he said. They want to do whatever they need to do when they want to do it. This can be while they are in the car, for example, or in a location with poor reception, when they are willing to sacrifice the quality they would get from a “richer” application.
“This is where the edge cloud shines, bringing IT and processes closer to physical end users,” he told PYMNTS.