KDDI Corporation has selected Oracle Database to modernize its online payment brand, au PAY, and customer loyalty program, au Ponta Points Program.
By working with Oracle, au Pay payment processing is now five times faster than before, while au Ponta Points Program’s processing performance has improved by 200 percent. In addition, Oracle helps KDDI meet changing customer needs by enabling it to develop new services and applications 30 percent faster.
au PAY has approximately 31 million customers, while au Ponta Points Program is one of Japan’s most popular customer loyalty systems. Both au PAY and au Ponta Points Program continue to grow rapidly as Japanese consumers embrace mobile payments and a cashless lifestyle. To handle the increasing volume of data and transactions, KDDI urgently needed to update its system infrastructure.
“au PAY and au Ponta Points Program are indispensable services in our customers’ daily lives, especially when digital money becomes a form of compensation starting in April 2023. Since these services must be available 24/7, we decided to redesign and build the IT architecture,” said Nobuaki Kamada, general manager, DX Architect Department, Information System Division, Technology Sector, KDDI Corporation.
“Oracle Database provides a data platform for our Java application development resources and allows us to reduce application release times by more than half without any downtime.”
KDDI also deployed Oracle Real Application Clusters and Oracle Data Guard to achieve high performance and high availability to further modernize the system infrastructure for au PAY and au Ponta Points Program.
Oracle GoldenGate, which enables smooth data migration and synchronization and supports third-party databases, was used to ensure no downtime during the migration.
KDDI also chose Oracle Cloud Infrastructure (OCI) to build au Ponta Points Program’s disaster recovery system. Meanwhile for au PAY, KDDI will use OCI to integrate internal and external processes. OCI, along with Oracle Autonomous Database, will also be used to store transaction settlement details and to analyze data.
