Challenge
A global manufacturing leader using SAP ERP and Salesforce CRM faced severe inefficiencies due to outdated batch processing for data synchronization. Their integration managed various data types, including customer records, sales transactions, order fulfillment, and inventory data. However, the existing batch-based approach led to:
- Scalability Constraints – Salesforce batch jobs were limited to 50 million records per 24 hours, restricting real-time updates.
- Data Latency –Batch execution windows caused delays, leading to outdated customer and transaction records.
- Complex Error Handling – Partial failures in batch jobs required manual intervention, impacting operational efficiency.
- API Governance Issues – High API consumption from batch processing led to API throttling, restricting other business operations.
- Data Inconsistencies – SAP-to-Salesforce delays resulted in discrepancies affecting business intelligence and reporting.
- Lack of Centralized Error Logging – Troubleshooting issues was difficult due to a lack of structured error tracking.
Our Solution: Real-Time, Scalable Integration
We replaced the legacy batch process with an event-driven architecture powered by Informatica Cloud (IICS) and Informatica PowerCenter. Our approach included:
Real-Time Data Streaming
Leveraged Change Data Capture (CDC) to instantly detect and sync SAP changes with Salesforce.
Pre-Built Informatica Cloud Connectors
Eliminated the need for Apex batch jobs, ensuring seamless SAP-Salesforce data movement.
Dynamic Data Transformation
Designed a scalable ETL framework for consistent data mapping and validation.
Optimized API Utilization
Implemented event-driven processing to reduce Salesforce API consumption and prevent throttling.
Automated Error Handling
Integrated Informatica’s Data Quality (IDQ) framework for real-time error detection and resolution.
Performance Enhancements
Enabled parallel processing and incremental data loads, cutting data processing time by over 80%.
Key Business Impact
Real-Time Data Synchronization
- Customer and sales data now update instantly, enhancing decision-making.
Optimized API Usage
- Reduced API calls ensure limits are no longer a bottleneck.
Scalable & Flexible Architecture
- The new system handles high data volumes effortlessly.
Improved Data Accuracy
- Automated validation enhances consistency across systems.
60% Reduction in Manual Effort
- Eliminated batch failure interventions, boosting operational efficiency.
Global Expansion
- Successfully implemented across North America, Europe, and APAC, ensuring seamless data flow worldwide.
Enhanced Error Management
- Centralized logging simplifies error tracking and resolution.

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Client Success Story: Real-Time Data Integration Across Regions