The company provides innovative 5G services to meet customer’s changing needs based on data analysis of customer experiences, content preferences, and usage patterns of devices, networks, and locations. With almost 15 million total wireless subscribers and having acquired 3.5 million 5G subscribers, LG Uplus is an innovator and leader in its industry.
"The company was challenged with a variety of data needs to be prepared internally to analyze various 5G services. And a new big data system, which could easily accommodate data from not only 5G but also from entire wired services, needed to be established to form fixed mobile convergence Network Management System (NMS). Additionally, data competitiveness should be secured with preparation to support carrying out an avalanche of digital transformation tasks," said Jinsoo Jang, Manager of LG Uplus NMS Development Team.
- Innovation reputation. If LG Uplus failed to maintain its reputation for innovation, it would lose its initial momentum and suffer tough competition. The provision of reliable high-quality services was necessary in order to maintain the 5G service as an essential pillar of telecom for the future.
- Existing platform limitations. The existing big data platform had limitations with data acceptance due to its own architecture. There was the risk of being unable to analyze the various elements of the 5G service, which would result in poor customer service and reputational damage in the market.
- 5G commercialization. The challenge was preparing for the 5G commercialization as South Korea was pushing for the first commercial service globally. To achieve this the company needed to monitor how the 5G services worked and provided responses to customers.
With Cloudera’s enterprise platform, LG Uplus established the NRAP (Network Real-time Analytic Platform) for 5G network operation. The existing LTE operated in the same way by collecting large sums of data in real-time and providing monitoring by the minute. NRAP needed to differentiate functions to lead the digital transformation and provide distinguished services by organizing functions to a new efficiently structured architecture.
The NRAP’s purpose-built platform for real-time quality monitoring and carrier network service analysis was built in a way that differentiates itself from the batch processing-based big data platform currently owned by LG Uplus. The company's NMS had already been equipped with a customized big data platform that could monitor and analyze LTE services. “NRAP collects a variety of highly applicable data sources which are stored and provided by modifying them into meaningful data. In turn, LG Uplus business sectors, including service monitoring, customer quality analysis and correspondence, and AI, which discovers fundamental causes of problems, predicts performance, and recommends appropriate measures, have an exploding demand to apply NRAP to DX projects and other uses,” said Jinsoo Jang.
All processes are distributed across 300 Cloudera nodes and processed in less than a minute in near real-time. Currently, users can get desired data results without having to think about the amount of data being processed internally. As a result, NRAP’s big data platform is now able to accommodate 15 million 4G/5G total and 5 million home/business service users, versus only 13 million LTE subscribers. It has also shortened service-based monitoring time down to 1 minute.
In the previous 4G environment, with 300 indicators using collected data, It took time to find detailed network performance information due to the lack of access. The number of indicators has increased to more than 1,000, providing xDR for E2E analysis that allows LG Uplus to easily and accurately find the cause of service quality problems.
Additionally, by leveraging data-driven decision making, it is now possible to find performance defects subdivided into the customer, network, and data service units and utilize them to issue AI-based tasks, enabling proactive quality responses to customer service problems.
LG Uplus has also introduced an artificial intelligence (AI) function to operate and expand the automatic detection of network failure root causes and network quality prediction. The company has integrated the AIOps model with its own AI technology, and advanced and commercialized the AI network operation function of its NMS3.0 through global Telco AI technology, consultation, and benchmarking.
With the introduction of the NRAP, LG Uplus is planning to adopt the Cloudera Data Platform (CDP) to enable more efficient use and management of data in the cloud, as well as ensuring the security and governance of data. The new platform will serve the purpose of both data lakes and data warehouses.