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 helps organisations optimise business outcomes through advanced analytics and seamless data integration.

To maintain its competitive edge, the firm needed to enhance its Oracle Fusion Cloud ecosystem to support near-real-time analytics and multi-cloud data replication for its clients.

Business Challenge

As businesses increasingly relied on data to drive strategic decisions, the firm encountered two key challenges.

Near-Real-Time Analytics

The organisation needed to deliver near-real-time insights through Oracle Analytics Cloud (OAC) without overloading Oracle Fusion Cloud systems.

Complex data extraction and transformation processes could potentially create heavy workloads, negatively impacting system performance.

Multi-Cloud Data Replication

The firm also required a robust framework to replicate Oracle Fusion ERP data into third-party data platforms such as:

• Azure Data Factory

• Snowflake

• Databricks

This capability was essential to support advanced analytics and reporting across multiple cloud ecosystems.

The challenge was to ensure low-latency data replication while maintaining optimal system performance.

Solutions Provided by eAppSys Limited

To overcome these challenges, eAppSys designed and implemented a scalable data replication and analytics framework tailored to the firm's Oracle Fusion environment.

The solution enabled near-real-time data replication with update intervals as low as five minutes, depending on the data objects, modules, and volume of transactions.

Optimised Data Flow

eAppSys developed a highly efficient data extraction and replication architecture that minimised the load on Oracle Fusion Cloud systems.

This ensured that data was delivered to Oracle Analytics Cloud and other analytics platforms without affecting operational performance.

Multi-Cloud Data Integration

The framework enabled seamless replication of Oracle Fusion ERP data to external analytics platforms, including:

• Azure Data Factory

• Snowflake

• Databricks

This integration allowed the firm to leverage advanced analytics capabilities across multiple cloud environments.

Low-Latency Data Replication

The solution was engineered to handle high-volume enterprise data with minimal latency, typically achieving data synchronisation within 10–15 minutes.

This ensured that decision-makers always had access to up-to-date business insights.

Scalability and Flexibility

The architecture was designed to be highly scalable, enabling the firm to easily add:

• New Oracle modules

• Additional data objects

• New cloud platforms

This flexibility ensured the solution could evolve with the organisation’s future data requirements.

Technologies Leveraged

To deliver this solution, eAppSys used a powerful combination of enterprise cloud technologies.

• Oracle Analytics Cloud (OAC) – Enabled near-real-time analytics and interactive dashboards

• Azure Data Factory, Snowflake, and Databricks – Supported cross-platform reporting and advanced analytics

• Oracle Autonomous Data Warehouse (ADW) – Provided enterprise-grade data management and analytics capabilities

• Oracle Cloud Infrastructure (OCI) – Delivered secure, scalable, and high-performance cloud infrastructure

Business Impact

The implementation delivered significant benefits for the firm and its Oracle Fusion customers.

Enhanced Decision-Making

Clients gained near-real-time access to enterprise data, enabling faster and more informed strategic decisions.

Increased Operational Efficiency

Optimised data pipelines ensured smooth Oracle Fusion system performance, eliminating performance issues caused by complex data extraction.

Cross-Platform Analytics

The firm successfully enabled multi-cloud analytics, combining data from Oracle Fusion ERP with third-party platforms for deeper insights.

Scalable Data Architecture

The flexible architecture ensures the solution can grow alongside client needs, supporting additional systems and platforms in the future.

Conclusion

Through its collaboration with eAppSys Limited, the firm successfully implemented a powerful solution for near-real-time analytics and multi-cloud data replication.

By leveraging platforms such as Oracle Analytics Cloud, Oracle Cloud Infrastructure, and leading analytics tools like Snowflake and Databricks, the organisation achieved faster insights, improved performance, and scalable data integration capabilities.