Andrew-Tan, Managing Director of SAS Malaysia
Andrew-Tan, Managing Director of SAS Malaysia
Andrew-Tan, Managing Director of SAS Malaysia

SAS, the leader in business analytics software and services, and the largest independent vendor in the business intelligence market, has announced the availability of SAS High-Performance Analytics software for Malaysia enterprises and business organizations. Established in 1976, SAS helps customers at more than 50,000 sites improve performance.

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SAS High-Performance Analytics is an appliance-ready software for Teradata and Greenplum which performs complex analytics processes on big data; substantially reducing analysis time on billions of rows of data. The software shipped last year, will be enhanced in August with new text-mining support that will enhance insight from unstructured data in emails, social media, call center logs, documents and other channels.

Unstructured data accounts for over 80% of today’s data. Enterprises benefit from faster answers and that results in faster decision making. SAS High-Performance Analytics would be highly beneficial for businesses in retail, banking, telecommunications and manufacturing.

According to SAS Malaysia’s Managing Director, Andrew Tan, the new software is the most significant SAS technology advance in at least 10 years.

SAS-HPA

Tan said, “Using SAS High-Performance Analytics, a major US retailer delivers store-specific pricing involving more than 270 million item prices every week. What once took more than 30 hours to compute now takes two with SAS High-Performance Analytics. The retailer can then optimize its prices more frequently, respond to market conditions and maximize revenue.”

In summary, SAS High-Performance Analytics is used to address big data – to reveal hidden relationships within structured and unstructured data. The analysed data is used to uncover potential opportunities, such as new lines of business, untapped customer segments, client satisfaction issues and profits.

For more on SAS High-Performance Analytics, visit SAS.

[spoiler title=”Read Official Press Release”]

SAS unveils SAS High-Performance Analytics for Local Businesses

With High-Performance Analytics, enterprises can more quickly extract insights from big data to seize business opportunities

KUALA LUMPUR, May 10, 2012 – SAS, the leader in business analytics software and services, today announces the availability of SAS High-Performance Analytics software for Malaysia enterprises and business organizations.

SAS High-Performance Analytics, appliance-ready software for Teradata and Greenplum, performs complex analytics processes on big data, slashing analysis time from days to hours, from minutes to seconds, on billions of rows of data.

SAS High-Performance Analytics, which began shipping last year, will be enhanced in August with the new text-mining support to provide companies with insight gained from unstructured data in emails, social media, call center logs, documents and other information.

SAS Malaysia’s Managing Director, Andrew Tan shares that High-performance analytics is the most significant SAS technology advance in at least 10 years.

“We realized that organizations were accumulating massive amounts of data that could provide answers to questions they could never ask before. The analysis took so long to process, answers were irrelevant by the time the computer spit them out. High-performance analytics provides answers when the information is still useful and leaves time to explore multiple possibilities.”

According to Forrester Research, on average, data doubles every 18 months for critical applications, while for some, such as telecommunication call-data-record applications, it can quadruple in the same period.

In the past, we relied heavily on transactional and electronic commerce data, but today new types of workloads are entering the organizational landscape, ranging from mobile, social media, instrumented data, metering data to documents, audio, and video.

Unstructured data, accounting for more than 80 percent of today’s data, can be difficult to analyze, often swamping traditional computer architectures.

“Enterprise data assets have grown exponentially in recent years, and these massive amounts of structured and unstructured data require two things to be valuable for decision making,” said Surya Mukherjee, Senior Analyst at Ovum. “First, the data volume must be abstracted from users so that they can analyze very large data sets without having to worry about the plumbing. And second, these insights must be delivered quickly to decision makers before a business opportunity is lost or a risky situation develops into a catastrophe.”

Banks, Telcos, Retailers and Manufacturers stand to gain from High Performance Analytics

Tan further shares, “Enterprises are finding real value in faster answers. With high-performance analytics applied to their text data, companies can greatly improve decision making.”

SAS High-Performance Analytics could be highly beneficial in many other scenarios, such as in financial service, manufacturing and telecommunication.

 “For example, a large financial services firm with millions of customer accounts and thousands of products can merge customer call center transcripts with demographic and financial data to improve response rates from marketing campaigns with SAS.”

Using SAS High-Performance Analytics, a major US retailer delivers store-specific pricing involving more than 270 million item prices every week. What once took more than 30 hours to compute now takes two with SAS High-Performance Analytics. The retailer can then optimize its prices more frequently, respond to market conditions and maximize revenue.”

A manufacturer could use SAS to build predictive models from product and parts catalogs, which contain millions of items with full text descriptions. The models could then be used to match new customer service requests with appropriate information, and prioritize ordering needs in near-real time.

Getting insights faster than ever

Tan further shares that every business is facing an overload of information. The challenge is making it actionable in an ever shrinking window of opportunity.

“With in-memory analytics, we are taking complex analytical processes such as credit risk scoring or marketing optimization or value at risk calculations and reducing its processing time from hours to minutes.”

SAS High-Performance Analytics can be used to address “big data,” to reveal hidden relationships within structured and unstructured data –in order to uncover potential opportunities, such as new lines of business, untapped customer segments, client satisfaction issues and profits.

[/spoiler]

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