Cloudera backs banks in Asia Pacific to combat financial crimes
Cloudera has announced that more than half of the 30 largest banks in Asia Pacific (excluding state-owned banks in China) have chosen Cloudera to enhance their data strategy to accelerate digital transformation, improve customer experiences, and meet regulatory and compliance requirements. Cloudera also counts eight of the top 10 largest banks in Southeast Asia as customers.
With 75% of companies in the Asia Pacific region falling victim to financial crime over the past 12 months, the pressure is on for financial institutions to rely on data, analytics, machine learning and AI technologies to capitalize on the information needed to combat financial crime. Given the complexity and variety of financial and sensitive customer data, many financial institutions have also transitioned to Cloudera’s cloud-agnostic platform that is optimized for the scale and complexity of the data that the industry demands.
Mark Micallef, Vice President of Asia Pacific and Japan, Cloudera, says, “Financial crime is one of the greatest challenges for banks as it not only causes monetary losses but also adversely affects reputation and customer relationships. Criminal networks are becoming increasingly creative and ready to exploit any opportunity inside or around the edges of business operations. As the need to overcome the siloed and overwhelming data landscape increases, financial services institutions have to adopt innovative approaches to better leverage data and analytics and protect themselves from known and unknown threats, while keeping up with regulatory changes. We are proud to be chosen by top banks in the region to help them make insights-driven decisions to secure their organizations as they grow.”
Bank Rakyat Indonesia
PT Bank Rakyat Indonesia (Persero) Tbk (BRI) is one of the largest state-owned banks in Indonesia which engages in the provision of general banking services. It built a big data platform that is powered by Cloudera Enterprise to analyze the massive amount of customer data it gained over the years. This enabled it to analyze five years’ worth of historical data and use the derived insights to drive more sales through targeted cross-selling and upselling.
BRI also used Cloudera Data Science Workbench to develop a machine learning model for fraud detection. The new system will process and detect fraud in real time by highlighting anomalies found in the stream of events coming from multiple customer touchpoints such as ATMs and internet banking portals.
United Overseas Bank
United Overseas Bank (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. Working with Cloudera, UOB built an enterprise-wide big data platform from which its analytics teams can access relevant and quality data to improve business processes and develop new solutions based on artificial intelligence and machine learning. For example, to help in the fight against financial crime, one of the machine learning solutions enabled UOB’s analysts to reduce false positives of suspected money laundering transactions by 40%.
YES BANK is India’s fourth largest private sector bank with a pan-India presence across all 29 states and seven Union Territories of India. By deploying Cloudera Enterprise, the bank is able to develop customized campaigns for consumers throughout their customer journeys. The solution also allows the bank to use machine learning and predictive modeling to transform existing processes to detect fraud faster.