September 29, 2010
NEW YORK, September 29, 2010 -- Two-thirds of financial services firms fear their analytics programs and infrastructures will not be able to handle increasing analytical complexity and data volume, according to a just-released Research Report, featuring a survey of financial services professionals and conducted by Wall Street & Technology in conjunction with Platform Computing, SAS and The TABB Group. Completed in July 2010, the survey indicates that firms are hampered by a lack of scalability, inflexible architectures and inefficient use of existing computing capacity. Noteworthy differences exist in the challenges being faced by both buy- and sell-side firms, with sell-side institutions more likely to report a lack of a scalable environment, insufficient capacity to run complex analytics, and contention for computing resources as significant challenges.
"It's clear that organizations need more flexible infrastructures and platforms to enable them to manage the data issues that both buy- and sell-side firms have today, which includes managing an exponentially larger glut of data at compressed speeds" said Robert Iati, partner and global head of consulting at financial services research firm TABB Group.
According to the survey, data proliferation and the need to better manage it are at the root of many of the challenges being faced by financial institutions of all sizes. Two-thirds (66 percent) of buy-side firms and more than half (56 percent) of sell-side firms are grappling with siloed data sources. The silo problem is being exacerbated by organizational constraints, including policies prohibiting data sharing and access, network bandwidth issues and input/output (I/O) bottlenecks. Ever-increasing data growth is also cause for concern, with firms reporting that they are dealing with too much market data. Sixty-six percent of respondents were not confident that their analytics infrastructures would be able to keep pace with demand over time.
"Siloed data sources have particularly impacted firms in the area of risk management as was evident during the recent financial crisis," noted David M. Wallace, global financial services marketing manager at SAS. "The improved liquidity and counterparty risk management needed by both the buy and sell side, as reported in the survey, requires greater enterprise data integration across the firm."
In fact, both buy and sell side firms plan to increase their focus on liquidity and counterparty risk in the next twelve months. Counterparty risk management was ranked as the highest priority for the sell side (45 percent) with liquidity risk following at 43 percent. Liquidity risk and counterparty risk scored high for the buy side with 36 percent and 33 percent, respectively.
"We found that mid-sized firms are particularly affected by resource constrictions, where one in four respondents reported challenges around limited computing capacity, frequent contention for compute resources and the inability to complete calculations during peak demand periods," said Jeff Hong, head of financial services industry marketing at Platform Computing.
To counter these challenges, financial institutions plan to turn to a combination of technologies including cloud computing and grid technologies. Within the next two years, 51 percent of all respondents are considering or likely to invest in cluster technology, 53 percent are considering or likely to buy grid technology, and 57 percent are considering or likely to purchase cloud technology.
Survey Results Available through Wall Street and Technology Website
The Wall Street and Technology report entitled "The State of Business Analytics in Financial Services: Examining Current Preparedness for Future Demands" is freely available for download at http://www.grid-analytics.wallstreetandtech.com. Wall Street and Technology, in conjunction with Platform Computing, SAS, and The TABB Group, will host a webinar to discuss in-depth key findings of the survey on October 7th at 12 pm ET/9 am PT.
For more information, please visit: http://tinyurl.com/2ulcesm.
Research Methodology
Survey of 223 business technology decision makers, with approximately 45 percent of respondent from organizations with more than $50 billion in total assets or assets under management. Survey participants hold IT management positions, with approximately 23 percent holding C-level posts.
Resources:
Analytics on the Grid Social Briefing Center, Powered by InformationWeek Financial Services http://www.grid-analytics.wallstreetandtech.com.
About Platform Computing
Platform Computing is the leader in cluster, grid and cloud management software – serving more than 2,000 of the world's most demanding organizations. For 18 years, our workload and resource management solutions have delivered IT responsiveness and lower costs for enterprise and HPC applications. Platform has strategic relationships with Cray, Dell, HP, IBM, Intel, Microsoft, Red Hat, and SAS. Visit www.platform.com.
-----
Source: Platform Computing
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.