Schabenberger is the Lead Architect for SAS High Performance Analytics. He’s also the guy who gets it best. He understands that banks no longer have time to wait days for risk computations, telecommunications companies want to understand who is likely to churn before the customer drops service and retailers want to be able to reprice all merchandise at all locations every week! Read about the possibilities of things that go fast.
Consider the number of decisions your firm makes everyday. How long does it take to ensure that those are the right decisions? You see, it’s not just about making decisions faster, it’s about the assurance of making the right decisions fast. Oliver Schabenberger, Lead Architect of SAS High Performance Analytics, says, “We’re solving business problems that have performance issues in such a way that we not only make them faster, but also make transformational change, from hours to seconds and from minutes to seconds.”
High-performance computing can be used to solve some of an organization’s toughest problems – probability of loan default calculations, analysis and optimization of millions and millions of prices, portfolio valuations and model scoring – in near real-time. Take a look at what high-performance computing looks like and what it is doing today.
Today, firms must assess market risk in time frames approaching the microsecond, and traders have less than a second to know how a proposed trade will affect the risk profile of the portfolio. The financial industry is poised for transformation. Is your firm’s infrastructure ready for high-performance risk?
Myron Scholes and Tom Kimner discuss evolving the analytical process: Today’s advances in computing allow firms to construct highly adaptive models. Read about advances in high-performance analytics that allow risk decisions in near-real time.
Should your firm rely on capital diversity or capital optimization to protect against catastrophic losses during shock? Myron Scholes and Tom Kimner consider each strategy to help you determine the best option.
In the fifth installment of our seven-part series, Myron Scholes and Tom Kimner propose a broader view of risk including optimization of return, management of capital and impact on market price of liquidity. Take a look at their robust plan that capitalizes on high-performance computing technology and predictive analytics.
In the fourth installment of our seven-part series, Myron Scholes and Tom Kimner explain what a risk management framework should include to meet today’s data needs – in near real time.
Learn about a risk management framework where capital is optimized across various business units and the impact of risk decisions, and how shocks that might compound losses are more clearly visualized and understood.
In the third installment of our seven-part series, we ask, “why did it appear that firms took a narrow view of their risk and return tradeoffs?” Myron Scholes and Tom Kimner tell the three top issues leading to their fall and explain their reasoning.
Can banks use data analysis to play ‘Moneyball’?
Are organized fraudsters winning the big data battle?
Turning a cost center into a money generator
Attending the ACFE Fraud Conference and Exhibition?
Plan to attend Increasing Investigator Efficiencies
When: Wed., June 30, 8:30-9:50a.m.
Where: Orlando, FL
Featuring: David Stewart and Dan Barta from SAS’ Fraud and Financial Crimes Practice.
Organized fraud is a growing problem, in large part because it is so hard to detect. In this session, we will show customer examples of how Entity Link analysis improves investigator efficiency by reducing the time spent investigating false-positive alerts and prioritizing events before presenting to investigators. Investigators can now work many times the number of cases and focus on higher-value networks.
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