Cloudera, Inc. the enterprise data cloud company, announced that telecommunications companies (telcos) across Asia are relying on Cloudera to make sense of every bit of their data and use real-time insights to make smarter decisions for greater business agility and sustained business growth. By leveraging Cloudera’s cloud-agnostic data management platform, these leading telcos are able to manage their end-to-end data lifecycle, and apply analytics, machine learning, and artificial intelligence (AI) technologies to gain a 360 degree view of their customers to reduce churn, improve network performance and drive innovation.
The rise of 5G and the shifts in customer behavior due to the COVID-19 pandemic have presented telcos the opportunity to rewire themselves and deliver services beyond their traditional connectivity offerings. According to GlobalData, Asia Pacific will lead 5G adoption, accounting for 65% of global 5G subscriptions by 2024. However, capturing the opportunities presented by 5G and new customer expectations will require telcos to capture data from new sources, analyze it, and use those insights to optimize their operations and deliver innovative services. To reinvent their data management and analytics strategy in this era of data-driven business, telcos will require a multi-function, open, end-to-end platform that makes it possible to generate the enterprise data insights needed to drive business value across multiple critical use cases.
“As Asia Pacific is expected to lead 5G rollout and adoption, telcos in the region need to have an effective data strategy if they want to truly maximize the value they can get out of 5G,” said Mark Micallef, Vice President of Asia Pacific and Japan, Cloudera. “Telcos are among the largest aggregators of data, and this will continue as 5G-powered applications will lead to an influx of data. However, they are continually challenged by the intricate process of managing and monetizing that data effectively. With Cloudera’s full edge-to-AI enterprise data cloud, we’re seeing telcos harness real time insights to accelerate decision-making that increases revenue, and unearths new competitive advantages.”
“Over the last year, remote working has significantly increased the amount of data being generated, managed, and processed by organizations and governments. This is expected to skyrocket further with the anticipated rollout of newer technologies like 5G across the APAC markets, including India. In fact, leading telecom players in the country are already running 5G trials in key metro cities and are quickly setting up infrastructure to support this new transformation,” said Vinod Ganesan, Country Manager, Cloudera India. “This is where adopting the right kind of data management platforms become truly imperative. Cloudera’s hybrid data platform has helped telecom providers in Asia enhance customer experience and successfully grow their business by unlocking the full potential of their data.”
Cloudera also recently announced their membership in the TM Forum, the global association driving collaborations and digital transformation in the network and communications industry. As part of Cloudera’s ongoing development and collaboration with telecommunications organizations, Cloudera’s participation will focus on the engagement and support of data and AI initiatives. In the process, Cloudera will render its expertise in data infrastructure to enable automation and digitalization for enterprises. These efforts will eventually inform and drive industry standards in areas such as IoT and Smart Cities.
“Cloudera’s membership of the TM Forum demonstrates their commitment to empowering the industry through data and analytics,” said Aaron Boasman-Patel, Vice President, AI& Customer Experience at the TM Forum. “There are many exciting developments in data and AI, and also many organizational challenges in areas like data and AI governance that Cloudera can help the industry to address. Innovative data-driven solutions, developed in collaboration with service providers and other solution members, can really move us forward to raise the bar for the entire industry.”
Cloudera counts 10 of the top 10 global telcos as customers. In Asia, leading telcos that are using Cloudera’s solutions to achieve business objectives and drive value within the telecommunications industry include China’s three telecom operators, and the following:
LG Uplus – Improving 5G services with real-time customer data analysis
LG Uplus is one of the biggest telecommunications companies in South Korea that is also among the first few telcos in the world to offer commercial 5G services. It has built a Network Real-time Analysis Platform (NRAP) on Cloudera’s data platform to collect and analyze over several hundred terabytes of network-related data from its wireless (LTE/5G) and wired (Home/Business) services in real time. With NRAP, LG Uplus can automatically analyze if any customer experiences 5G service lapses, and can quickly identify the root cause to rectify the problem in a timely manner. The Cloudera-powered platform also allows LG Uplus’ data analysts to predict service quality issues to minimize the risk of downtime.
Jin-Soo Jang, Manager of the NMS Development Team at LG Uplus said, “In pursuit of our vision of ‘A Digital Innovator that Brings Joy to Customers’ Daily Lives’, LG Uplus became the world’s first telecommunication company to launch 5G services to respond to the evolving needs of customers. By building NRAP with Cloudera, we were able to gain confidence in using and analyzing data. This enabled us to improve operational efficiency and provide fast and reliable 5G services, thereby reducing network operating costs and increasing customer satisfaction.”
Robi Axiata Limited – Adopting enterprise-wide AI to enhance the customer experience
With over 46.8 million subscribers, Robi Axiata is the second-largest mobile network operator in Bangladesh. It built an effective data lake using Cloudera’s data platform together with Cloudera Data Science Workbench (CDSW) to deliver more personalized services. The data lake stores all network and customer business data, as well as integrates third-party data such as Facebook and Twitter feeds, market insights, as well as customer internet footprint from advertising agencies. The move enabled Robi’s data science teams to develop and tune machine learning models using nearly 20TB accurate data on a daily basis in order to improve business outcomes and eliminate operational challenges across multiple domains and use cases. Based on some of the use case deployments, the company expects to see a 4% improvement in customer churn, an 8% rise in upsell recommendations, and over 5% improvement in quality acquisition.
“Cloudera’s data platform with CDSW is the best combination for any organization planning to build a collaborative data science environment,” Mamun Bin Shaheed, Vice President, Enterprise Data Warehouse & Analytics, Robi Axiata Limited. “Even though we started out with three use cases, our roadmap to analytics covers all areas of our operations. We see Cloudera bringing together an ultimate solution that enables us to make informed decisions to enrich customer experience and help us become the country’s most preferred telecom service provider.”
Telkomsel – Creating a single source of truth to support enterprise-wide data-driven decision making
Serving more than 164 million customers, Telkomsel is the largest and leading digital telecommunications operator in Indonesia that aims to become a world-class trusted provider of mobile digital lifestyle services and solutions. Faced with data deluge due to consumers’ increased reliance on their mobile phones, Telkomsel first deployed Cloudera’s data platform in 2015 to store and secure its massive amount of data cost-effectively. It then proceeded to integrate data from various departments using Cloudera’s data platform over the years, such that it now has a single source of truth. This enables Telkomsel to gain valuable customer and network insights that can drive improvements to the customer experience. Additionally, Cloudera’s data platform allows the telco to use analytics and machine learning to better understand its customers’ sentiment and preferences, which help it to offer customized offers on its mobile app.
“The key to achieving sustainable growth in today’s competitive landscape lies in our ability to broaden and deepen customer relationships,” said Tina Lusiana, Vice President of Business Intelligence and Analytics at Telkomsel. “With the support of a reliable partner, such as Cloudera, Telkomsel has increased its capabilities to harness the massive amount of data and gain a better understanding of our customers. Now, we are able to confidently expand our service offerings and deliver more compelling and personalized customer experience.”
XL Axiata – Achieving data democratization with AI-based self-service analytics to drive insights-based decision making
PT XL Axiata Tbk. (XL) is one of the leading mobile service providers in Indonesia, with nearly 57 million subscribers. The company offers a range of data, voice, SMS, and other digital services to both retail customers and businesses across Indonesia. To foster a data-driven culture, it relies on qbo Insights – an AI-based self-service conversational tool from Unscrambl (Cloudera’s partner) powered by Cloudera’s data platform – to democratize data and make decisions based on insights. Users can ask the tool business-related questions (such as revenue, number of customers, usage and consumption) in English and get the insights they need within five to 60 seconds, depending on the complexity of the questions. They can also perform factor analysis in seconds due to an algorithm based on machine learning and AI technologies. Additionally, they can be assured that the insights provided by the tool are accurate as Cloudera’s data platform consolidates data across the organization to provide a single source of truth.
“Thanks to Unscrambl and Cloudera, we’re now a step closer to achieving our vision of becoming Indonesian consumers’ most preferred provider of data connectivity with high integrity,” said David Arcelus, Chief Commercial Officer, XL Axiata. “The new tool plays a key role in fostering a data-driven culture in our organization as it allows even non-technical users to utilize self-service analytics and make insights-based decisions quickly. With the time saved from having to generate ad-hoc reports and the actionable insights gained, we can spend more time on revenue-generating efforts such as developing more customer-centric services.”