Over the past year, SK C&C’s big data team focused on service models based on different industry sectors. (image: Kobiz Media / Korea Bizwire)
SEOUL, Dec. 20 (Korea Bizwire) – SK C&C, Korea’s third largest IT system developer, aims to increase its footprint in the big data service market by expanding and strengthening its related task forces.
The IT firm announced that it plans to transform its existing big data task force into an official division, providing composite big data services from customized big data service proposals and consulting, to the development of big data technology, service and adoption, starting next year.
Earlier this year, SK C&C set up the task force, which originally included 60 experts including consultants and big data analysts. It has now grown in size to a more than 100-member big data service team comprising industry experts, statistics analysts, big data technology experts, systems architects, service designers and IT infrastructure and system experts.
Lee Won-Suk, executive director of SK C&C in charge of ICT growth and big data, said, “From our experience developing big data solutions for SK Group subsidiaries, we confirmed the feasibility of launching a premium IT service. In developing this service, we aim to stand as a top class solutions provider in the global big data market.”
Over the past year, SK C&C’s big data team focused on service models based on different industry sectors. It concentrated on developing big data services such as detecting unusual manufacture processes in advance, analyzing production yields and quality, searching out abnormal transactions and trading, recommending customized products, preventing customer churn, monitoring public opinion and providing composite safety.
For example, a semiconductor manufacturer could benefit from a 2 percent increase in its yield rate by detecting and correcting the causes of defects over time through SK C&C’s big data-based next generation production system, AWD. The system automates defect detection by adopting a new quality analysis system based on big data.
In addition, with concern over network security increasing, the company developed an “integrated login security analysis platform” which can be adopted in wide range of industries. Based on open source software such as Twitter’s Storm and Hadoop, the platform not only provides highly accurate real time hacking detection, but also offers high speed tracing of network intrusions.
Lee said, “If we say that in 2013 we constructed infrastructure for big data (big data 1.0), this year we just entered the “big data 2.0” era, examining its possibility for real service through big data analysis. We will make next year the start of a full-fledged big data 2.0 era, realizing innovative business models from the insights of big data analysis.”
By John Choi (johnchoi@koreabizwire.com)
