Wipro Migrates HR Systems to Oracle Cloud Infrastructure to Improve Efficiency

Wipro Limited has migrated its core payroll and recruitment databases to Oracle Base Database Service on Oracle Cloud Infrastructure (OCI) to modernize its HR systems and improve operational efficiency.

According to the company, the migration has increased the performance of its global recruitment systems by more than 50 percent and reduced payroll processing time by 60 percent. Wipro used Oracle Interconnect for Google Cloud and Oracle Interconnect for Microsoft Azure to enable low-latency data transfer between its existing cloud environments and OCI.

Wipro employs over 230,000 people across 65 countries and manages complex digital operations for clients worldwide. The shift to OCI is part of the company’s broader effort to improve scalability, performance, and security in its internal HR infrastructure. The migration connected Wipro’s payroll application to OCI via Google Cloud and its recruitment system through Azure.

Harish Singh, Vice President and Global Head, Infrastructure and Applications Management Group at Wipro, said the initiative aligns with the company’s AI-driven modernization strategy and supports its goal of improving HR efficiency and workforce management.

Wipro’s deployment of Oracle’s interconnect services has also enhanced data flow across multiple cloud platforms, allowing it to run workloads seamlessly across its multicloud environment. By optimizing Oracle Database performance, Wipro cut payroll processing time from over 70 minutes to 29 minutes and achieved faster candidate processing cycles in recruitment.

Oracle India’s Technology Cloud Vice President, Premalakshmi PR, said the collaboration demonstrates how multicloud strategies can help enterprises manage mission-critical workloads efficiently while maintaining flexibility.

Industry analysts note that such multi cloud strategies are becoming more common as organizations balance performance, cost, and regulatory requirements. “Enterprises are increasingly adopting multicloud models to power AI workloads and maintain scalable infrastructure,” said Daphne Chung, Research Director, IDC Asia/Pacific.

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