SAS partners with MDeC on big data analytics drive
By Digital News Asia April 17, 2015
- Predictive analytics company to establish Centre of Excellence
- SAS also part of National BDA Innovation Network established in January
The centre would undertake high-impact BDA Proof of Concept (POC) projects, SAS Malaysia said in a statement after the two parties signed a Memorandum of Understanding (MoU).
The MoU will see the two collaborating to drive BDA adoption and to build a strong and sustainable BDA ecosystem in Malaysia.
“Our collaboration with SAS will further strengthen our national network of BDA COEs for the industry and public sector,” said MDeC chief operating officer Ng Wan Peng.
“The SAS BDA COE will mobilise the country’s top BDA experts to develop national high-impact use cases and proofs-of-concept to drive BDA adoption and innovation, and build a conducive BDA ecosystem,” she added.
The BDA CoE will be located at SAS’ office in Malaysia, and both MDeC and SAS Malaysia will collaborate to identify and leverage on complementary capabilities to develop joint go-to-market offerings.
SAS is also part of National BDA Innovation Network established by MDeC in January.
“SAS has a long history and proven success of working with oil and gas, telecommunications, banking and manufacturing industries to provide them with predictive insights and helping them to develop their BDA expertise,” said SAS Malaysia managing director Andrew Tan (pic).
The POCs that SAS has completed include helping a manufacturing company optimise product yield; an oil and gas company predict machinery failure so as to avoid possible outage; as well as a telecommunications company predict customer behaviour, he said.
“We are aware that despite the advances in analytical technologies to help organisations make better fact-based decisions, many are still struggling with aspects of how and where to start, how to take the next step, and how to change their internal culture on using analytics,” said Tan.
“It is our aim that the CoE will provide a good showcase of industry-specific BDA implementations that will help organisations in both private and public sectors deal with these challenges, and accelerate their BDA adoption by leveraging best-in-class technologies and practices,” he added.
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SAS Malaysia MDeC BDA POC Ng Wan Peng Big Data Analytics National BDA Innovation Network Predictive Analytics Andrew Tan
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