Combining these six tips will help the bank reduce operational costs, focus on more profitable trading operations, reduce RWA and thereby achieve a better return on capital deployed in its trading operations.
Are you struggling to pull all of the risk data for your regulatory calculations? Do you need to do a better job of predicting loan deposits earlier in the cycle? Take a look at how high-performance analytics can help you solve these problems.
Former CRO of United Overseas Bank Ming Soong talks about the value of a high-performance analytics sandbox for risk management.
Ming Soong, former CRO for United Overseas Bank, says that a monthly or weekly report may be enough for regulatory compliance, but the same information could mean so much more to the organization. Take the challenge.
The challenge for the years ahead will be to balance increased regulatory costs and the need for greater efficiency while at the same time delivering an improved customer experience and innovations to retain customers and grow revenues. High-performance analytics will help bank executives pave the path to success – with customers, regulators and the market.
Credit lending is a fast-paced business that relies on large amounts of customer and transaction data. Rex Pruitt, Premier Bankcard, discusses how high-performance analytics can help meet the challenges of today’s lender.
Organized fraudsters love the big data battle because – for many organizations – siloed data and too much data make finding fraud as difficult as finding the same needle in a new haystack. Ellen Joyner says firms can bring big data and organized fraudsters down to size with a layered analytics approach combined with high-performance computing.
The challenge to accomplishing something big – really big – is often getting the right people on board from the beginning. Tham Ming Soong, former United Overseas Bank CRO, talks with SAS CEO Jim Goodnight about UOB’s success with big data and high-performance analytics.
Also tagged big data, PBLS
Financial institutions now need to execute risk management decisions in a more timely manner.This GARP Webcast – presented by SAS – will examine the new technology paradigms that are enabling more timely financial risk management practices.
Insurers increasingly rely on high-performance analytics to predict future behavior and determine product pricing, as it processes the growing volumes of data faster than traditional approaches. Read more in this article.