Fintech and the data centre

How data centre revitalisation can bolster your bottom-line

The financial services sector, once one of the most stable and slow-moving industries in the world, is currently in the middle of a vast upheaval. A status quo which has remained largely unchanged for decades if not longer is being turned on its head, and it's all thanks to fintech.

Fintech (or financial technology) has undergone an explosion in recent years. Widespread connectivity and the growing ubiquity of mobile devices have enabled an unprecedented growth in the number, sophistication and accessibility of fintech tools and services, and it's having a noticeable impact on the financial services sector.

These tools have allowed new digital-native companies to disrupt the market, as well as letting existing companies bolster their offerings with an increased range of financial services. Digital-only challenger banks' like Monzo, Starling and Revolut, for example, have started drawing customers away from traditional consumer banking firms, and mobile-based trading platforms have opened up the stock market to everyday people who otherwise would never have considered buying shares.

Established financial institutions are now having to rethink how they operate in light of these new developments. Customers are demanding faster, more convenient and more secure experiences from their financial providers, and many are choosing to ditch their existing banks when they don't meet these new, evolving standards.

It's not hard to see why; the new capabilities being unlocked by emerging fintech are very attractive. The combination of AI-driven chatbots and advanced data analytics allow customers to have 24/7 access to their own personal financial adviser who can give them insights into their personal spending patterns. Moreover, it can help them set and control their budgets, while a digital-only bank means no longer having to make inconvenient in-branch appointments to manage your money.

Fintech offers the key to increasing customer loyalty and satisfaction, but having the right technology is key. Even if you introduce the kind of advanced features that customers demand from their financial service providers, a poor experience thanks to long wait times, dodgy security or frequent errors is just as likely to drive them away as not having them in the first place.

So how can you ensure that your fintech tools are speedy and reliable enough to keep up with your users' needs? Many businesses in other sectors have turned to the cloud for this, but in many cases, compliance and regulatory issues will mean that financial services companies simply aren't able to enlist the services of a public cloud provider like Google, Microsoft or Amazon.

Instead, financial firms should be looking to modernise their own in-house data centres. Extra investment in data centre transformation projects can pay dividends for the performance of financial applications in particular, such as data analytics. The bedrock of any modern business strategy, data analytics is especially essential for financial services, allowing organisations to rapidly analyse market trends and real-time transaction data, as well as their customers' banking information in order to provide them with new insights into their finances.

In order for this to be effective, however, your analytics model needs to perform at lightning speed, crunching through your datasets as quickly as possible to ensure your business retains a competitive edge. Similarly, you need to ensure that transactions and transfers are processed as quickly as possible; there's nothing more frustrating for a customer than having to wait hours or even days before the money that a friend sent over for their share of a bill arrives in their account.

Achieving this is no mean feat, however, and it's not just about adding more racks to your data centre. Making sure your data centre is running on the right infrastructure can be at least as important as its size, if not more so. Intel's Xeon Scalable platform, for example, is built specifically to support the kind of high-intensity data analytics workloads that modern financial services firms depend on.

Xeon Scalable's all-new Mesh architecture enables faster and more efficient data transfer between CPU cores an essential benefit when dealing with high-volume datasets and scales easily. In addition, Intel's new AVX-512 instructions offer a 1.6x performance boost for data-driven HPC workloads and 2.2x speed increase for AI and machine learning tasks.

It's also designed to couple seamlessly with Intel Optane storage and memory, slashing latency to the bone and processing instructions in a flash. It's also super high-density, allowing you to put more memory in a given rack, thereby reducing data centre expenditure.

Another feature that will be particularly useful for financial firms is the added efficiency that the new Xeon Scalable generation brings to security operations. In particular, the new instructions can process encryption tasks much faster than previous components thanks to a huge increase in the amount of floating-point operations that can be processed.

Encryption of network connections and data is essential for any financial services firm, but up until now, companies would be forced to suffer an increase in transaction time of up to 10% as a trade-off. Now, however, the improvements introduced by Xeon Scalable and Optane mean that this time penalty is significantly reduced, resulting in faster and more secure transactions for your customers.

Financial firms are now more at risk of being overtaken and disrupted than they've ever been, but the same tools that are allowing their competitors to threaten them so greatly can also open up a world of new opportunities, increased revenues and more satisfied customers for businesses that can embrace them.

Discover more about the technology powering Fintech at Intel.co.uk

Featured Resources

Managing security risk and compliance in a challenging landscape

How key technology partners grow with your organisation

Download now

Security best practices for PostgreSQL

Securing data with PostgreSQL

Download now

Transform your MSP business into a money-making machine

Benefits and challenges of a recurring revenue model

Download now

The care and feeding of cloud

How to support cloud infrastructure post-migration

Watch now

Recommended

Intel buys data science startup Cnvrg.io
artificial intelligence (AI)

Intel buys data science startup Cnvrg.io

4 Nov 2020
Redis closes another round of funding, raking in an additional $110 million
open source

Redis closes another round of funding, raking in an additional $110 million

8 Apr 2021
Alienware’s new gaming laptop is a kick in the teeth for Intel’s new CEO
Hardware

Alienware’s new gaming laptop is a kick in the teeth for Intel’s new CEO

8 Apr 2021
Intel launches 3rd-gen Xeon Scalable processors
IT infrastructure

Intel launches 3rd-gen Xeon Scalable processors

6 Apr 2021

Most Popular

Microsoft is submerging servers in boiling liquid to prevent Teams outages
data centres

Microsoft is submerging servers in boiling liquid to prevent Teams outages

7 Apr 2021
Data belonging to 500 million LinkedIn users found for sale on hacker marketplace
hacking

Data belonging to 500 million LinkedIn users found for sale on hacker marketplace

8 Apr 2021
How to find RAM speed, size and type
Laptops

How to find RAM speed, size and type

8 Apr 2021