Across the financial services industry, the ability to access and analyze massive data sets as quickly as possible can determine a company’s competitive advantage. Even a few milliseconds of latency can mean unsecured transactions or unacceptable trading results. Today, more than 90% of the top 50 banks around the world are using advanced analytics to improve the speed and quality of customer and business insights. Now, managing these ever-growing amounts of data can be overwhelming to existing technology infrastructure. The solution is a new memory and storage hierarchy with memory tiering.
Today, quantitative traders, and data analytics teams require not just the ability to see all of today’s data in nanoseconds, but also to access as much historical data as possible for accurate trend analysis and insights. That can mean last week, last month, or ten years ago. The challenge to harness data and analytics and turn them into actionable insights is getting increasingly difficult. A new infrastructure is required, one that keeps as much data close to compute as possible, for lightning fast access. Intel Optane technology essentially adds two layers of memory and storage, delivering faster data reads and writes, erasing bottlenecks even under heavy loads.
The financial services industry is rapidly changing, and investment firms, banks, and digital payment processors are all looking to differentiate and be a cut above of their competition by offering unique value or services–and that differentiation is often powered by technology. One of the key methods to getting more out of existing infrastructure is moving to a hyperconverged, virtualized infrastructure. VMware’s virtualization capability for compute (VMware vSphere) and storage (VMware vSAN) does precisely this, providing increased performance and flexibility.