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    Streamline Your SAP Data Transformation with DataLark

    Accelerate SAP data transformation with DataLark’s no-code platform designed to streamline complex data workflows, ensure data quality, and reduce manual effort across SAP ECC, S/4HANA, and hybrid environments.

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    5

    How It Works

    • 1. Connect Systems
    • 2. Cleanse, Enrich, & Standardize
    • 3. Validate Data
    • 4. Automate Execution
    • 5. Monitor & Control

    1

    Connect Systems
    Natively connect to SAP ECC or S/4HANA using DataLark’s pre-built connectors based on BAPI, RFC, OData, and IDoc protocols. Easily extract master and transactional data such as customers, materials, orders, or invoices. You can also connect to cloud platforms, databases, and external applications without writing any custom code.

    2

    Cleanse, Enrich, & Standardize
    Use drag‑and‑drop tools to cleanse invalid entries, remove duplicates, standardize formats, and enrich data from trusted sources. Apply transformation logic visually with no scripting required, fully aligned to your business rules.

    3

    Validate Data
    Ensure transformed data meets internal and regulatory standards by applying validation rules. Simulate pipeline runs to catch errors before they go live and gain assurance that your SAP data is ready for its next destination.

    4

    Automate Execution
    Schedule transformations to run on a recurring basis or trigger them from external systems. Built-in automation handles retries, error resolution, and conditional flows, reducing manual intervention and improving reliability.

    5

    Monitor & Control
    Track every transformation with detailed logs and reports. Set up alerts for failures or anomalies, and continuously optimize your pipelines based on performance metrics and data quality insights.

    1

    Connect Systems
    Natively connect to SAP ECC or S/4HANA using DataLark’s pre-built connectors based on BAPI, RFC, OData, and IDoc protocols. Easily extract master and transactional data such as customers, materials, orders, or invoices. You can also connect to cloud platforms, databases, and external applications without writing any custom code.

    2

    Cleanse, Enrich, & Standardize
    Use drag‑and‑drop tools to cleanse invalid entries, remove duplicates, standardize formats, and enrich data from trusted sources. Apply transformation logic visually with no scripting required, fully aligned to your business rules.

    3

    Validate Data
    Ensure transformed data meets internal and regulatory standards by applying validation rules. Simulate pipeline runs to catch errors before they go live and gain assurance that your SAP data is ready for its next destination.

    4

    Automate Execution
    Schedule transformations to run on a recurring basis or trigger them from external systems. Built-in automation handles retries, error resolution, and conditional flows, reducing manual intervention and improving reliability.

    5

    Monitor & Control
    Track every transformation with detailed logs and reports. Set up alerts for failures or anomalies, and continuously optimize your pipelines based on performance metrics and data quality insights.
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    Simplify SAP Data Transformation with DataLark
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    Key Benefits
    No-Code Transformation for Complex Logic
    Build sophisticated transformation logic using a visual interface. Cleanse, enrich, normalize, and restructure SAP data without writing code — making it accessible to both IT and business users.
    Reusable Pipeline Templates
    Save time by using pre-built templates for common SAP scenarios like vendor data harmonization, material master cleansing, and invoice standardization. Clone and adapt data flows as your business evolves.
    Seamless SAP and non-SAP Integration
    Connect effortlessly to SAP (ECC, S/4HANA) with DataLark’s in-built connectors. Easily integrate with supported third-party systems, whether it’s a data warehouse, BI platform or data lake.
    End-to-End Data Quality Enforcement
    Apply validation rules to ensure your SAP data is complete, consistent, and compliant. Detect and fix duplicates, formatting issues, and referential errors before they reach target systems.
    Scalable Automation
    Schedule pipelines to run on a recurring basis or trigger them in real time based on events or dependencies. Automate retries, branching logic, and exception handling to keep workflows moving.

    Request a Demo

    Get a personal walkthrough from one of our product specialists to explore DataLark’s key features:
    Built-in Source and Target Connectors
    Robust Data Transformations
    Zero-coding
    Flexible Deployment: On-prem, Cloud, and Hybrid
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    Real-World SAP Transformation Scenarios

    • S/4HANA Migration Data Preparation
    • Multi-System Master Data Harmonization
    • Financial Data Transformation for Compliance

    Challenge

    A global manufacturing company needed to migrate 15 years of SAP ECC data to S/4HANA, including 2.3 million material masters with inconsistent descriptions, duplicate vendor records across 12 countries, and financial data with varying chart of accounts structures.

    DataLark Solution

    • Automated material master deduplication using fuzzy matching algorithms, reducing 2.3M records to 1.8M clean materials.
    • Standardized vendor master data across purchasing organizations, consolidating vendors to unique entities.
    • Harmonized chart of accounts mapping from legacy GL structures to S/4HANA universal journal format.
    • Validated all transformations against S/4HANA data model requirements before migration.

    Business Impact

    4 months

    6-month migration timeline reduced to 4 months

    Challenge

    A pharmaceutical company with SAP ECC in 4 countries needed to harmonize customer master data for global reporting, dealing with different naming conventions, address formats, and customer hierarchies across regions.

    DataLark Solution

    DataLark replaced the legacy mass maintenance tool, providing a modern, user-friendly platform to streamline data management processes. Key improvements included:

    • Applied region-specific address standardization rules (US ZIP+4, European postal codes, Asian address formats).
    • Implemented global customer hierarchy mapping using DUNS numbers and tax IDs.
    • Created a unified customer classification system across all sales organizations.
    • Established real-time synchronization between regional SAP systems.

    Business Impact

    60%

    60% reduction in duplicate customer creation.

    Unification

    Unified global customer reporting achieved.

    Challenge

    A financial services company required SAP financial data transformation to meet new regulatory reporting requirements, including IFRS 17 compliance and enhanced risk reporting.

    DataLark Solution

    DataLark replaced the standard SAP LSMW, providing a modern and intuitive platform for handling mass data maintenance tasks. Key enhancements included:

    • Transformed legacy cost center structures to new regulatory reporting hierarchies.
    • Applied complex allocation rules for insurance contract grouping.
    • Implemented automated currency conversion with real-time exchange rates.

    Business Impact

    75%

    75% reduction in manual reporting effort.

    Acceleration

    Audit preparation time reduced from weeks to days.

    Explore Opportunities for Enhanced SAP Test Data Management

    Talk to Our Experts

    FAQ

    • Which SAP systems does DataLark support?

      DataLark supports both SAP ECC and SAP S/4HANA environments, seamlessly integrating with core SAP modules such as MM (Materials Management), SD (Sales and Distribution), FI/CO (Financial Accounting and Controlling), PLM (Product Lifecycle Management), as well as other modules. It uses standard protocols like RFC, BAPI, and HTTP/OData for reliable data integration and smooth communication across systems.

    • Can I use DataLark to prepare data for S/4HANA migration?
      Yes. DataLark is widely used for preparing data for selective or full migrations to S/4HANA. You can extract, cleanse, enrich, and validate legacy SAP data before staging it for migration, ensuring better data quality and compliance.
    • How does DataLark validate transformed SAP data?
      DataLark lets you define rule-based validations, including field formats, mandatory values, referential integrity, and business logic checks. Simulations can be run before executing a pipeline to preview issues and resolve them proactively.
    • Can DataLark push data back into SAP systems?
      Yes. DataLark supports bidirectional integration. Transformed data can be written back into SAP using supported APIs and interfaces, depending on system permissions and integration patterns.
    • Is it possible to automate SAP data transformation workflows?
      Absolutely. Pipelines can be scheduled or triggered by external events like SAP jobs, file drops, or webhook/API calls. Built-in orchestration features support retries, conditional branching, and multi-step flows.
    • Do I need to write any code to transform SAP data with DataLark?
      No. DataLark’s platform is entirely no-code. You can define complex transformation logic, cleansing rules, and mappings using a visual interface. For advanced scenarios, optional scripting extensions are available — but never required.
    • Can this be used by business users, or is it only for IT teams?
      DataLark is designed for both technical and business users. The intuitive interface allows business analysts, data stewards, and domain experts to build and manage pipelines without needing developer support.
    • How do I monitor pipeline runs and errors?
      DataLark provides detailed execution logs and run histories for each pipeline. You can review success/failure statuses, timestamps, and error messages to understand what occurred during a run. Alerts can be configured to notify users in case of failures or anomalies. All run-level information is accessible for audit, troubleshooting, and continuous improvement.