The Key to Seamless Operations Why SAP Data modernization is Crucial for Your Business

End-to-End Operational Visibility

SAP S/4HANA thrives on accurate, consolidated data. Without proper integration, businesses struggle with fragmented data across departments and systems. By integrating data, you ensure end-to-end operational visibility, enabling decision-makers to see the complete picture, from supply chain logistics to financial performance.

Data Accuracy for Strategic Decisions

Accurate, real-time data is critical for businesses to make informed, strategic decisions. SAP Data Integration eliminates redundancies and inconsistencies, delivering a single source of truth. This ensures the data driving your financial forecasts, inventory planning, and customer insights is precise and actionable.

Seamless Migration to SAP S/4HANA

Migrating to S/4HANA requires unified, high-quality data from legacy systems and external applications. Our integration solution consolidates data into one structured format, making the transition smoother and faster. This ensures the S/4HANA environment is set up for optimal performance from day one.

Data Assessment & Integration Strategy

We begin by analyzing your current data landscape, identifying key data sources across legacy systems, third-party applications, and departments. This step helps reveal data silos, inconsistencies, and gaps that need to be addressed prior to integration into SAP.

  • Identify all data sources and assess their current state and quality.
  • Map data dependencies and relationships across systems to ensure full integration coverage.

 

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Data Cleansing & Deduplication

Once data sources are identified, we perform a comprehensive cleansing and deduplication process. This includes identifying and removing duplicate records, correcting errors, filling in missing information, and standardizing formats to ensure that only high-quality data enters SAP S/4HANA.

  • Develop automated data cleansing rules to ensure ongoing data quality.
  • Implement deduplication algorithms to remove redundant records across systems.
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Data Harmonization & Standardization

After cleansing, we harmonize and standardize the data across systems, aligning it with SAP S/4HANA’s architecture. This involves normalizing data from different formats and structures, creating a unified data model to ensure compatibility.

  • Define a universal data model that aligns with SAP S/4HANA’s architecture.
  • Standardize data formats across all sources, ensuring compatibility for integration.
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Real-Time Data Synchronization & Integration

Finally, we establish real-time synchronization across data sources, ensuring seamless integration into SAP S/4HANA. Data is continuously updated and accessible for real-time analytics, reporting, and operational needs.

  • Implement real-time data pipelines for continuous data flow into SAP.
  • Set up monitoring systems to ensure data accuracy and timeliness during synchronization.
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What Makes Artha Advantage for SAP Unique

1 Addressing Data Inconsistencies and Inefficiencies
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  • Data Profiling: Pre-migration and post-migration our solution performs a thorough profiling of the existing data to identify business rules.
  • 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.
Seamless SAP S/4HANA Migration for a Large Manufacturing Company

A global manufacturing company with operations across multiple continents faced challenges due to an overloaded SAP system. To boost efficiency and support future growth, they required a seamless migration to SAP S/4HANA.

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