Cloudera partners with Bank Rakyat Indonesia on Data-Driven Journey to Boost Growth and Accelerate Financial Inclusion in Indonesia

SINGAPORE, Nov. 20, 2018 /PRNewswire/ -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, today announced that PT. Bank Rakyat Indonesia (Persero) Tbk (BRI), one of the largest state-owned banks in Indonesia, has deployed Cloudera Enterprise to harness the power of their data to deliver better services to its customers and accelerate financial inclusion in Indonesia. By powering its big data platform with Cloudera, the financial institution has expanded its customer base and enhanced its fraud detection capability through machine learning.

Click to tweet: @Cloudera partners with @Bank_BRI_ID on data-driven journey to boost growth, accelerate financial inclusion and enhance fraud detection through #machinelearning [bit.ly]

Founded in 1895, BRI specializes in microfinance loans and serves approximately 30 million retail clients through more than 4,000 branches, units and rural service posts in Indonesia. To further grow its business, the bank needed to harness the full value of their customer data to not only retain existing customers but also acquire new ones.

With the huge amount of customer data gained over the years, the bank set out on a mission to digitalize its operations by deploying a modern data management platform that was scalable, secure and compliant. By replacing its legacy system with Cloudera Enterprise, the bank was able to analyze five years' worth of historical data and use the derived insights to improve its credit scoring system. The insights derived also revealed a deeper understanding of its customers' behavior. Armed with this knowledge, BRI is now able to drive more sales by cross-selling and upselling services that are most relevant to individual existing customers.

BRI has always been committed to the Indonesian government's 2020 Go Digital Vision and has focused on accelerating the rate of financial inclusion in Indonesia.  Previously, BRI distributed loans in traditional models which are often time-consuming and require a lengthy process. This was an impediment in driving the rate of financial inclusion. By adopting a data-driven approach and applying machine learning, BRI has increased the uptake of digital loans and improved the productivity level of processing credit loans by up to 50%, reducing processing time from two weeks to two days. According to the Global Findex Database 2017 report, almost 50% of the adults in Indonesia now own a bank account, reflecting the progress the nation has made in boosting financial inclusion. And BRI aims to further narrow this financial inclusion gap by providing greater access to their loans with the introduction of an app.

To address the mounting concerns around data security from both regulators and consumers, BRI has also recently embarked on a pilot project to enhance its fraud detection system. Cloudera Data Science Workbench is being used to develop a machine learning model for fraud detection by leveraging data from multiple data sets. The model will be deployed and served in real-time by utilizing HBase as its backend data store. With the newly developed fraud detection system, BRI will be able to process and detect fraud in real time by highlighting anomalies found in the stream of events coming from multiple customer touch points such as ATMs and internet banking portals.

"We are committed to delivering services that continually address customer demands while reducing risks," said Indra Utoyo, Director of IT and Operations, BRI. "Cloudera's secure, scalable and compliant platform has empowered us to analyze our massive volume of data, which subsequently enabled us to make insights-driven decisions that helped reduce churn, increase wallet share, and better prevent fraud. We also chose Cloudera due to its strong reference in the Indonesian market and the strong technical support provided by its local and global teams." 

"To stay ahead of the competition, banks need analytics and machine learning to gain a comprehensive understanding of their customers in order to deliver more personalized offerings, comply with regulations, and reduce risks," said Mark Micallef, Vice President for Asia Pacific and Japan, Cloudera. "We are pleased to help BRI capture new growth opportunities and address complex business challenges."

About PT. Bank Rakyat Indonesia (Persero), Tbk
PT Bank Rakyat Indonesia (Persero) Tbk (BRI) engages in the provision of general banking services. The firm operates through the following segments: Micro, Retail, Corporate, Others, and Subsidiaries. The Micro segment offers banking services to individual customers and micro-entrepreneurs. The Retail segment serves individual customers and small and medium entrepreneurs by providing banking services, deposit products, and commercial or consumer loans. The Corporate segment provides special loans, cash management, and other loan facilities to state-owned enterprises and non-state owned enterprises companies. The Subsidiaries segment focuses on shariah banking services, agribusiness, and remittances provided by the company subsidiaries. The company was founded by Aria Wiriatmaja on December 16, 1895 and is headquartered in Jakarta, Indonesia. For more information on BRI, log on to https://bri.co.id.

About Cloudera
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. We deliver the modern platform for machine learning and analytics optimized for the cloud. The world's largest enterprises trust Cloudera to help solve their most challenging business problems. Learn more at www.cloudera.com.

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