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A Global SAP System Integrator since 2003

Embark on a Smart SAP Migration with DataLark

Streamline your journey to SAP S/4HANA with DataLark’s selective data transition capabilities and shape your SAP landscape to fit your business.

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5

How It Works

  • 1. Connect Systems
  • 2. Select & Cleanse Data
  • 3. Map & Transform Data
  • 4. Validate & Test
  • 5. Monitor & Control

1

Connect Systems
Seamlessly connect to a wide range of data sources — including legacy ERPs, spreadsheets, cloud platforms, and databases — using DataLark’s pre-built, configurable connectors. Integrate with SAP S/4HANA, either directly via native SAP interfaces (such as BAPIs, RFC, and OData) or indirectly through the SAP Migration Cockpit. You can either generate load-ready files compatible with the Migration Cockpit or push data directly into its underlying staging tables, ensuring flexibility across migration scenarios.

2

Select & Cleanse Data
Define which master data, transactional records, and custom tables you want to migrate. Use DataLark’s data profiling tools to assess structure, quality, and dependencies. Detect inconsistencies automatically and apply cleansing rules to prepare reliable data for S/4HANA.

3

Map & Transform Data
Map data fields between source systems and S/4HANA using DataLark’s visual drag-and-drop interface. Apply no-code transformation rules to align formats, standardize values, and structure your data according to S/4HANA requirements.

4

Validate & Test
Leverage DataLark’s validation capabilities to ensure data accuracy, completeness, and integrity during the migration process. Simulate migration steps where applicable to catch and resolve potential issues in advance.

5

Monitor & Control
Gain full visibility into migration progress, status, and performance through detailed logs. Track and audit every data transfer with comprehensive, customizable reports, or configure email notifications for real-time operational monitoring.

1

Connect Systems
Seamlessly connect to a wide range of data sources — including legacy ERPs, spreadsheets, cloud platforms, and databases — using DataLark’s pre-built, configurable connectors. Integrate with SAP S/4HANA, either directly via native SAP interfaces (such as BAPIs, RFC, and OData) or indirectly through the SAP Migration Cockpit. You can either generate load-ready files compatible with the Migration Cockpit or push data directly into its underlying staging tables, ensuring flexibility across migration scenarios.

2

Select & Cleanse Data
Define which master data, transactional records, and custom tables you want to migrate. Use DataLark’s data profiling tools to assess structure, quality, and dependencies. Detect inconsistencies automatically and apply cleansing rules to prepare reliable data for S/4HANA.

3

Map & Transform Data
Map data fields between source systems and S/4HANA using DataLark’s visual drag-and-drop interface. Apply no-code transformation rules to align formats, standardize values, and structure your data according to S/4HANA requirements.

4

Validate & Test
Leverage DataLark’s validation capabilities to ensure data accuracy, completeness, and integrity during the migration process. Simulate migration steps where applicable to catch and resolve potential issues in advance.

5

Monitor & Control
Gain full visibility into migration progress, status, and performance through detailed logs. Track and audit every data transfer with comprehensive, customizable reports, or configure email notifications for real-time operational monitoring.
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Streamline Your SAP S/4HANA Migration with DataLark
Request a Demo
Key Benefits
Reduced Timeline & Cost
Reduce data volumes and complexity through selective data migration to significantly shorten project timelines. With DataLark’s automation and rule-based transformation tools, you can accelerate your path to S/4HANA — minimizing risk, downtime, and overall project cost.
Lean & Clean Landscape
Avoid bringing unnecessary historical baggage into your new S/4HANA system. DataLark helps you move only what’s relevant, ensuring a clean core that’s easier to manage, maintain, and scale.
Seamless Connectivity
Whether your data resides in legacy ERPs, on-premise databases, cloud platforms, or flat files, connect directly to your non-SAP data sources to extract selected datasets and load them into SAP S/4HANA — fully validated and with end-to-end data lineage preserved.
Data Security
Ensure secure data migration practices, including encrypted transfers, access controls, and configurable masking of sensitive fields. These features help teams align with internal governance and data protection expectations.
Transparency
Gain full visibility into every step of the data migration process — from initial scoping to final validation — through detailed logging and reporting. With DataLark, every transformation rule and data movement is fully traceable, supporting internal reviews, troubleshooting, and governance.

SAP RISE Success Stories

  • Cafe & Bakery
  • A Group of Retail Companies
  • Energy Production Plant

Problem

TThe client’s rapid growth outpaced their legacy ERP system, causing it to hinder business operations due to several issues:

  • Slow processing and poor performance
  • Limited automation in production and logistics
  • Challenges in onboarding and employee training
  • Disorganized data storage and migration processes

 

 

Solution

DataLark helped the client successfully migrate to S/4HANA, enabling the automation of data processing, streamlined logistics operations, organized data storage, and enhanced personnel training processes.

Results

70%

Overall financial and analytical productivity increased by 70%.

90%

Transparency of the data management process improved by 90%.

60%

Business modernization and scalability speed grew by 60%

Problem

The client’s outdated business architecture required a complete overhaul to address the following issues:

  • No centralized repository for data collection, automation, and storage
  • Inadequate detail in customer data reporting
  • Weak retail analytics, leading to guesswork in decision-making
  • Lack of a unified customer view, complicating customer management

Solution

Cloud migration allows the client to optimize and scale processes, create seamless shopping experiences, centralize and automate data storage, and enable data-driven decision-making.

Results

90%

Visibility into customer shopping behaviors improved by 90%

50%

Planning cycle time reduced by 50%

100%

General ledger record processing efficiency increased by 100%

Problem

The client, one of the largest energy producers in their region, faced obstacles in their transition to green energy due to:

  • Manual workflows
  • Lack of consistent output and consumption control
  • Inefficient resource utilization and excessive costs
  • Poor compliance monitoring and legal risks

Solution

We fully digitized the client’s workflows by migrating their infrastructure from a legacy system to S/4HANA. This digital transformation accelerated their green energy transition, reduced waste, and ensured ongoing compliance with industry standards and regulations.

Results

10-20%

Service revenue from new business models increased by 10-20%

5-8%

Time-to-market reduced by 5-8%

5-15%

Equipment efficiency improved by 5-15%

Learn More about Smart SAP S/4HANA Migration

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FAQ

  • What is selective data transition, and how is it different from system conversion or greenfield migration?
    Selective data transition is a targeted migration strategy that allows you to move specific data sets and organizational units to SAP S/4HANA. Unlike system conversion (which migrates everything) or greenfield (which starts from scratch), selective migration gives you full control over what to keep, discard, or restructure.
  • What kinds of data can I selectively migrate with DataLark?

    With DataLark, you can migrate:

    • Master data (customers, vendors, materials, etc.)
    • Transactional data (sales orders, invoices, production records, etc.)
    • Custom tables and fields

    You choose what’s relevant based on your business and compliance requirements — DataLark takes care of the rest.

  • Can I migrate data from non-SAP systems into S/4HANA?
    Yes. This is one of the key advantages of using DataLark. The platform can connect to both SAP and non-SAP systems, allowing you to extract data from legacy ERPs, proprietary databases, cloud platforms, or flat files, then transform and map it to align with SAP S/4HANA’s structure. You can load clean, validated data into your S/4HANA system without disrupting business operations or relying on multiple third-party tools.
  • How long does a selective data migration typically take?
    Timelines vary depending on the scope of data and system complexity. Selective migration with DataLark is significantly faster than traditional full-system approaches. With automated transformation, validation, and data loading, DataLark reduces manual effort, lowers risk, and accelerates your transition to S/4HANA.
  • Does DataLark support previewing and validating data before final migration?
    DataLark supports simulation and dry-run capabilities in applicable scenarios, allowing you to preview results, validate transformations, and make adjustments before final cutover. This helps teams reduce risk and gain confidence throughout the migration process.
  • Can I perform a phased migration using DataLark?
    Yes. Phased, incremental migration is one of the key strengths of the selective approach with DataLark. You can migrate business units, regions, or data domains in stages, reducing risk and allowing your teams to adapt gradually. This also supports hybrid scenarios where parts of the business remain on legacy systems during the transition.
  • What kind of support and onboarding services does DataLark provide?
    With dedicated product support, you get responsive guidance tailored to your project context — including help with initial training, setup, troubleshooting, and technical questions. For more complex migration needs — such as scoping, data mapping, or cutover planning — additional consulting services are available through a separate engagement.
  • How does DataLark ensure data security during migration?

    DataLark applies strong security measures throughout the migration process to help protect your data and minimize risk. These include:

    • End-to-end encryption for data in transit and at rest
    • Role-based access controls (RBAC) to manage user permissions
    • Detailed logs for traceability
    • Secure connectors designed in accordance with SAP integration best practices

    Whether deployed on-premise or in the cloud, DataLark helps ensure that your sensitive business data is handled securely and in accordance with your internal policies and regulatory expectations.