ABBANK of Vietnam plans to implement an automated credit scoring system that uses advanced analytics, built on SAS, to streamline the risk calculation process for their customers.
The new system eliminates manual processing and enables faster credit decisions for improved customer experience. It will also contribute to a better revenue and compliance position by reducing risky debts and by being consistently aligned with credit scoring regulations.
"This is one of the bank’s key projects, aiming to build a system that can support credit decision making quickly and effectively. It minimises qualitative risks while bringing significant and long-term business performance,” said Nguyen Manh Quan, acting general director of ABBANK.
The bank has signed Thakral One, a Singapore-based technology consulting and services firm, to oversee the project.
The automated credit scoring system will be built using the SAS Intelligent Decisioning Solution, which is powered by Intel Xeon Scalable processors with built-in AI accelerators and optimised for performance with Intel Math Kernel Library.
The system is designed to gather data elements that cover the entire credit management process. The decision orchestration engine combines statistically reliable information with leading data analytics features and extensive model inventory.
“We understand the importance of making accurate and timely decisions within ABBANK and therefore, the technology from SAS incorporates the use of artificial intelligence (AI) and machine learning (ML) models to support this,” said Cheam Tat Inn, managing director for Malaysia at SAS.
He added; “SAS Intelligent Decisioning is a technology that helps fast-track and empower smarter decision-making, improving time to execute and yet allows for ease of management in a governed environment.”
Speaking of their partnership with ABBANK, Bikram Singh Thakral, CEO of Thakral One, said: “Investing in leading decision management and analytics capabilities will enable ABBANK to significantly improve their time to market, enhance capability to scale, and better manage risks.”