SAP Data Replication SAP Data Replication, Powered by Change Data Capture

Consistency Across Multiple Systems

Data replication ensures consistent and reliable data across all systems, be it on-premise or in the cloud. This minimizes discrepancies and ensures every department has access to the latest information for smooth business operations.

Better Decision Making

With real-time replication, you can trust that your critical decisions are made with the latest data, ensuring improved agility and responsiveness in a competitive market.

Faster S/4HANA Migrations

Replication helps accelerate your transition to SAP S/4HANA by ensuring smooth data synchronization between legacy SAP ECC systems and S/4HANA. This minimizes business disruptions and ensures a seamless migration process.

​Accelerate Test Processes

With CDC, you can quickly and easily provision new test environments, reducing the time and effort required for manual data setup. This enhances productivity and streamlines the testing process.

Disaster Recovery and Data Resilience

Data replication serves as an effective backup solution, ensuring your critical business data is always available, even in case of system failures or unforeseen disasters.

Cross-Region Data Consistency

Keep your global teams aligned with real-time data replication across regions and time zones.

Data Capture & Source Identification

Data replication, especially through Change Data Capture (CDC), is a technically intricate process that involves capturing, processing, and synchronizing real-time data changes across your SAP systems.

Below is a more in-depth technical breakdown of the journey to achieving real-time data replication in your organization

  • Identify the primary data sources such as tables, views, or datasets in SAP ECC and other related systems.
  • Set up CDC agents that detect data changes at the transactional level, using logs (e.g., database transaction logs) to track changes without impacting the performance of your SAP systems.
  • For SAP systems, you can rely on tools like Qlik Replicate which integrate seamlessly with SAP.

Cleansing & Validation

Once data is captured, it must be validated and cleansed before replication. Given the critical nature of business data, ensuring high data quality at this stage is crucial. Dirty data entering replication processes can corrupt downstream systems and cause operational failures.

  • Implement real-time data validation checks to ensure data integrity. This includes schema validation, business rule enforcement, and consistency checks.
  • Perform data deduplication to eliminate redundant records and ensure a clean, consolidated datasets.
  • Enforce master data management (MDM) rules to maintain consistent master data across systems.

Replication & Synchronization

The core of the journey is the replication process itself. With Change Data Capture (CDC), you replicate only the data changes rather than the entire dataset. This significantly reduces the load on the source systems and ensures near real-time synchronization between SAP ECC and the target systems, including S/4HANA.

  • Set up replication pipelines that trigger when a change is detected in the source systems (e.g., through transaction logs, database triggers).
  • Ensure the data pipeline is resilient and can handle large-scale replication without system downtime.
  • Synchronize data changes across multiple environments (production, test, and development) to ensure uniformity across SAP instances.

Continuous Monitoring & Optimization

Data replication is not a one-time task; it requires continuous monitoring and fine-tuning to ensure optimal performance and data integrity over time. Monitoring allows you to catch and address any potential issues like replication lag, bottlenecks, or data loss.

  • Implement comprehensive monitoring dashboards to track key metrics like replication latency, throughput, error rates, and system resource usage.
  • Set up automated alerts for threshold breaches (e.g., high replication lag or data inconsistency) to ensure that issues are addressed before they impact business processes.
  • Test replication failover mechanisms to ensure business continuity in the event of system failures or outages.

What Makes Artha Advantage for SAP Unique

1 Addressing Data Inconsistencies and Inefficiencies
  • Data Profiling: Our solution performs a thorough profiling of the existing data to identify business rules both pre-migration and post-migration.
  • Data Transformation: The data is automatically transformed and mapped to the target structure, eliminating manual intervention and associated risks.
  • Artha’s accelerator reduces migration time from SAP ECC to S/4HANA by 50%, providing faster access to new features.
  • Automatic data cleansing and validation minimizes errors, avoiding costly project delays and improving report accuracy.
2 Unifying Fragmented Data Across Multiple SAP Systems
  • Data Consolidation: Our tool consolidates data from different SAP instances, harmonizing records to avoid duplication and inconsistency.
  • Golden Record Creation: By matching and merging data, we create a single, authoritative source of truth, which is essential for accurate reporting and analytics.
  • Cross-System Compatibility: Ensures that data from various SAP systems can be integrated seamlessly, providing a holistic view of operations.
  • Provides a clear, comprehensive view of business operations for informed decisions.
  • Eliminates data duplication and inconsistencies, streamlining processes and boosting productivity.
3 Streamlining Testing and Debugging Data
  • Selective Data Migration: Enables the migration of specific data sets tailored to different testing scenarios, improving the relevance and effectiveness of tests.
  • Issue Debugging: Facilitates detailed testing and debugging in non-production environments without exposing sensitive information, leading to more robust system performance.
  • Reduces resource and infrastructure costs by 50%, making the testing process more cost-efficient.
  • Allows for thorough testing and debugging without exposing sensitive data, leading to more effective resolution of production issues.
4 Keeping Data Up-to-Date and Secure
  • Continuous Data Replication: Ensures that changes in the source data are continuously replicated to the target environment, keeping the disaster recovery site up-to-date.
  • Historical Data Management: Facilitates the migration of both current and historical data, providing a complete dataset for business intelligence and analytics.
  • Data Lake Integration: Seamlessly integrates with data lakes and warehouses, enhancing data accessibility and usability for advanced analytics.
  • Artha implemented Qlik Replicate to ensure continuous data updates and efficient replication to the client’s disaster recovery site, enhancing data availability and business continuity.

Events

Artha Solutions Proud Emerald Sponsor of Qlik Connect 2025

May13 Artha Solutions Proud Emerald Sponsor of Qlik Connect 2025

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Apr25 AI Driven SAP Modernization: A Game-Changer for Pharma Manufacturing

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Exclusive invite-only event: Explore SAP Data Modernization for Pharma by leveraging AI, GenAI and Smart Test Data Management.

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Mar4 AI-Driven SAP Data Modernization & Data Governance

AI-Driven SAP Data Modernization & Data Governance

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Unlock the full potential of your SAP systems in Indonesia's evolving digital landscape, especially with the introduction of the Personal Data Protection (PDP) Act.

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Feb26 Role of AI in SAP S/4HANA Projects

Role of AI in SAP S/4HANA Projects

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Join this webinar to discover how AI and the Qlik Product Suite streamline S/4HANA migrations, reduce risks, optimize test data, and explore the future of AI in SAP landscapes.

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Feb20

SAP Data Modernization and S/4HANA Migration

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Join us for an insightful webinar on "SAP Data Modernization - A Journey Towards S/4HANA in Industry 4.0," where industry leaders will explore how businesses can leverage cloud integration, IoT...

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