Enabling Near-Real-Time Oracle Fusion Analytics & Multi-Cloud Data Replication

Client Profile

A leading global professional services firm with a strong focus on data-driven decision-making, the firm helps its clients optimise business outcomes through advanced analytics and seamless data integration. To maintain its competitive edge, the firm needed to enhance its Oracle Fusion customers’ ability to perform near-real-time analytics and support cross-platform data replication.

Business Challenge

The firm encountered two significant challenges as businesses increasingly relied on data for strategic decision-making:

  • Near-Real-Time Analytics: The firm needed to deliver near-real-time analytics via Oracle Analytics Cloud (OAC) without imposing a heavy load on Oracle Fusion Cloud systems, which could degrade performance due to complex and resource-intensive data extraction and transformation processes.
  • Multi-Cloud Data Replication: The firm required a robust and efficient solution to replicate Oracle Fusion ERP data into third-party data warehouses, such as Azure Data Factory, Snowflake, or Databricks, to support comprehensive analytics across multiple platforms.

These challenges demanded a solution that could provide timely data replication with minimal latency, all while maintaining the efficiency and performance of Oracle Fusion Cloud systems.

Solutions Provided by eAppSys

To address these critical challenges, eAppSys partnered with the firm to design and implement a solution tailored to the needs of its Oracle Fusion customers. The solution was engineered to enable near-real-time data replication with update intervals as low as five minutes, depending on the specific modules, data objects, and volumes involved.

Key features of the solution included:

  • Optimised Data Flow: eAppSys developed a highly efficient data extraction and replication framework that minimised the impact on Oracle Fusion Cloud systems. This ensured timely data availability in Oracle Analytics Cloud (OAC) and other third-party platforms without compromising system performance.
  • Multi-Cloud Data Integration: The solution facilitated seamless replication of Oracle Fusion ERP data to third-party data warehouses, including Azure Data Factory, Snowflake, and Databricks. This integration enabled the firm to leverage advanced analytics across different cloud environments, taking advantage of each platform’s unique capabilities.
  • Low-Latency Data Replication: The approach was designed to handle high-volume data objects with minimal latency, typically achieving data replication within 10-15 minutes. This enabled the firm to maintain up-to-date data across all platforms, ensuring timely insights for decision-making.
  • Scalability and Flexibility: The solution was architected to scale with the firm’s growing needs, allowing for the addition of new modules, data objects, and platforms as required. The flexible architecture ensured that the solution could adapt to changing business requirements.
Technologies Leveraged

To deliver this comprehensive solution, eAppSys leveraged a combination of cutting-edge technologies:

  • Oracle Analytics Cloud (OAC): Provided the platform for real-time analytics, enabling the firm’s clients to access near-real-time insights.
  • Third-Party Tools: Integrated platforms like Azure Data Factory, Snowflake, and Databricks were used for cross-platform reporting and advanced analytics, broadening the scope of the firm’s data capabilities.
  • Oracle ADW: Facilitated for data management services.
  • Oracle Cloud Infrastructure (OCI): Offered secure and scalable cloud deployment, supporting the overall solution’s reliability and performance.
Business Impact

The implementation of this solution by eAppSys brought significant benefits to the firm and its Oracle Fusion customers:

  • Enhanced Decision-Making: The firm’s clients gained the ability to make faster, more informed decisions with access to near-real-time data across multiple platforms.
  • Increased Efficiency: The optimised data flow and low-latency replication ensured that Oracle Fusion Cloud systems operated smoothly, avoiding the performance degradation typically associated with complex data extraction processes.
  • Cross-Platform Analytics: The firm successfully integrated data from Oracle Fusion ERP into third-party data warehouses, enabling comprehensive analytics and insights that were previously unattainable.
  • Scalable Solution: The scalable and flexible nature of the solution ensured that the firm could continue to meet the evolving needs of their clients, expanding the solution to accommodate additional data sources and platforms.
Conclusion

eAppSys’ collaboration with the firm on the Enabling Near-Real-Time Oracle Fusion Analytics & Multi-Cloud Data Replication project, effectively addressed the critical challenges of real-time data analytics and cross-platform data integration.