Tag Archives: high-performance analytics

Innovation and creativity make the most of risk management solutions

High-performance analytics

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 , |

Modernizing financial risk management

catalog of risk_lrg

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.

Also tagged |

Ratemaking made faster

insurance-271x300

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.

Also tagged |

High-performance analytics takes on big data

HPA_financial

What do you get when you combine big data with high-performance analytics? Big ideas that lead to big changes. In short, a seismic revolution that’s changing the way the world works.

Also tagged |

Banking on big data – Part II

HPA_financial

Using high-performance analytics, banks can turn their big data into pertinent new business insights that guide faster, better decisions. Here are some examples of how key banks are acheiving results by pairing advanced analytics with turbocharged technology – high-performance analytics.

Also tagged , |

Managing big data at the speed of risk

ifsug

Olivia Rud, respected BI thought leader and author, spoke at the IFSUG Summit about the speed of technological changes and the volume and complexity of data that industry practitioners are now dealing with. Predictive analytics was the tool of choice when desktop computing was state-of-the-art and is still cutting edge now that big data from mobile and social threatens organizations.

Also tagged |

Banking on big data

HPA_financial

The banking sector routinely manages big data, which means big challenges – but also big opportunities. Using high-performance analytics, banks can turn their big data into pertinent new business insights that guide faster, better decisions. As a result, banks can successfully manage risk, retain profitable customers, improve operational efficiency and differentiate themselves in the marketplace for competitive advantage.

Also tagged , |

Higher performance, lower risk with grid computing

alison_bolen

In risk management, the time table for decision-making gets shorter and shorter as the volume and velocity of data expands. With no room for error, how can firms deal with big data effectively? Alison Bolen says, “Samsung Securities gets it.” Read the ninth post in her “HPA once a day” series to learn what Samsung Securities is doing and how you can apply it to your big data problem.

Also tagged |

High-performance analytics and things that go fast

Oliver Schabenberger

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.

Tagged

How to get game-changing speed, data integrity

Waynette Tubbs, Editor

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.”

Also tagged |