Strategy Guide: Fast Data in Financial Services — Three Themes and Five Apps to Get You There
What is real time?
For some enterprise architects and business users, it’s a fairly crude measure: a day, a week, or a month faster than they have now. But in a financial services institution, that’s not good enough. Improving the speed of a near real-time batch process from, say, 12 hours to two hours may seem like a huge leap, but when your job is fraud detection, reconciling trades or balancing performance and risk, you need immediate, correct results — millisecond responses with predictable low latency.
The move from near real-time data processing to real real-time is one of the key trends we at VoltDB have identified that financial institutions should be aware of to maintain a competitive edge. This Technical Overview digs into these trends and the impact they may have on your institution or organization.
Explore this resource to learn more about these trends, as well as five application areas that can be improved using fast data, including:
- Fraud detection and management
- Trade reconciliation
- SLA management
- And more