SAS High-Performance Analytics delivers timely results and accurate insights on big data while optimally leveraging IT resources. There are three types of high-performance computing options to consider:
In action: A financial services firm reduced probability of loan default calculation time from 96 hours to just four.
In action: A leading marketing solutions company’s scoring models used to take half a business day to process – now they’re scored in 60 seconds.
In-memory analytics allow analytic computations to be performed in-memory on co-located data. These computations leverage distributed processing across multiple blades for near real-time response times.
In action: A leading bank valued a complex portfolio of more than 44,000 financial instruments in less than 180 seconds.
Thornton May, a futurist and analytics thought leader, does a great job of answering the question of how high-performance analytics can help solve your risk and big data problems. Now that you have a better understanding of the types of high-performance options, watch this video Q&A with May. If you have other questions, write them in the comments or send me an email.
*NOTE: This article was originally published in sascom Magazine Fourth Quarter 2011.