Last Thursday (Jan 29), SAS announced the company's financial results for the year 2014, posting a record revenue of US$3.09 billion, up 5.1 percent over 2013.
Customer demand for cloud analytics and data visualisation were found to be the top growth drivers for the business analytics software company.
According to SAS, the America region contributes to almost half (48 percent) of the global revenue. The remaining half - 13 percent and 39 percent - belongs to Asia Pacific (APAC) and Europe, Middle East and Africa (EMEA) respectively.
In terms of industry, financial services, government, insurance, communications, manufacturing, retail, health care and life sciences continue to represent the highest proportion of SAS revenue.
In Singapore, SAS achieved more than double year-on-year growth, with continued momentum in financial services, government and education sectors, while expanding their customer base in new industries such as retail and automotive.
"In 2014, we more than doubled our growth in Singapore with positive momentum from our mainstay industries, while at the same time branching out into other industries," said Francis Fong, Managing Director of SAS Singapore. "We have also partnered with our customers to leverage our expertise in advanced analytics and visual analytics to find solutions to everyday issues - from working with DBS to optimise their ATM network to helping other companies track their KPIs."
SAS is also working closely with the Infocomm Development Authority (IDA) on Smart Nation initiatives, and has been working with the industry on Hadoop-based solutions for big data.
Besides R&D, SAS' strong partner ecosystem is also a consistent factor in the company's success. Last year, it influenced 30 percent of new sales and half of SAS' largest deals.
Specifically, Fong said that SAS Singapore will continue to focus its efforts in the public sector, as well as work towards partnering with the financial sector on risk, fraud and customer intelligence solutions.
Overall, SAS hopes to continue growth in cloud analytics, business intelligence and data visualisation, data management and Hadoop, customer intelligence, security intelligence, as well as fraud solutions and risk management.
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