Get Your SAP Master Data under Control with DataLark
Explore DataLark — a modern data-orchestration platform that unifies and enriches SAP and non-SAP master data — delivering consistency across your enterprise.
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Master Data Management
Data Consolidation
DataLark helps you to merge siloed data across systems. With in-built connectors for SAP and non-SAP applications, Datalark ensures seamless harmonization of material, vendor, customer, financial data, and other master data.
Validation & Data Quality
DataLark allows you to enforce field-level rules, reference checks, and duplication controls through a no-code interface. Business roles validate data before it is loaded — no coding or SQL required.
Automation & Enrichment
DataLark’s automated matching suggests values, flags anomalies, and enriches incomplete records via trusted third-party data services. Fewer manual touches mean faster onboarding of materials, suppliers, and customers.
Integration with SAP
Datalark integrates natively with SAP ECC and S/4HANA using standard protocols like RFC, BAPI, HTTP/OData, and SOAP. Whether deployed on-premises or in the cloud, DataLark ensures seamless integration with core SAP modules such as MM (Materials Management), SD (Sales and Distribution), FI/CO (Financial Accounting and Controlling), PLM (Product Lifecycle Management), and other modules.
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Problem
The client’s existing data maintenance processes for SAP classification master data and allocations for DIR and materials were manual, inconsistent, and prone to errors. Key challenges included:
- Difficulty managing large-scale updates to classification data.
- Limited visibility into data accuracy and versioning.
- High operational costs due to repetitive manual tasks.
These inefficiencies hindered the client’s ability to scale and maintain accurate, reliable data as their operations expanded.
Solution
DataLark enabled the client to automate the mass creation and ongoing updates of SAP classification master data and allocations. With intuitive tools for bulk processing and validation, the platform empowered business users to:
- Ensure consistency and accuracy in classification data.
- Reduce manual workload through automated workflows.
- Monitor and manage updates with robust reporting and analytics.
DataLark’s seamless integration with SAP ensured data integrity and streamlined ongoing maintenance tasks.
Results
The client now benefits from scalable and efficient data maintenance, enabling them to support growth and innovation.
75%
75% Reduction in manual effort for classification updates.
90%
90% improvement in data accuracy and reliability.
60%
60% faster processing of classification data changes.
Problem
The client relied on an outdated mass maintenance tool to handle key data management tasks, including price condition updates, material creation, and BOMs, documents, and routings maintenance. The legacy system presented several challenges:
- Limited functionality and lack of scalability for modern requirements.
- Frequent errors and inconsistencies in mass updates.
- High dependency on IT teams for data changes, causing delays in operations.
These inefficiencies led to slowed decision-making and increased operational costs, impacting the client's ability to remain agile in a competitive market.
Solution
DataLark replaced the legacy mass maintenance tool, providing a modern, user-friendly platform to streamline data management processes. Key improvements included:
- Automated mass updates for price conditions, materials, BOMs, documents, and routings.
- Simplified workflows enabling business users to perform data updates without IT intervention.
- Advanced validation and reporting to ensure accuracy and compliance with business rules.
With its seamless SAP integration and robust functionality, DataLark became the central hub for managing large-scale data changes efficiently.
Results
The client now operates with a modernized data maintenance process, driving greater agility and cost savings while supporting their strategic growth initiatives.
70%
70% reduction in processing time for mass data updates.
50%
50% decrease in data errors and inconsistencies.
55%
55% improvement in operational efficiency through reduced IT dependency.
Problem
The client managed mass updates using SAP’s standard LSMW (Legacy System Migration Workbench), which posed significant limitations for their growing business needs:
- Time-consuming and complex setup for mass updates.
- Limited flexibility to handle modern data maintenance scenarios.
- High risk of errors due to manual processes and lack of user-friendly validation tools.
- No centralized platform for mass creation, updates, or deletion of data such as MM, BOM, documents, and business partners.
These challenges resulted in inefficiencies, increased operational costs, and delays in critical data maintenance activities.
Solution
DataLark replaced the standard SAP LSMW, providing a modern and intuitive platform for handling mass data maintenance tasks. Key enhancements included:
- Streamlined workflows for mass creation, updates, and deletions across materials, BOMs, documents, and business partners.
- Built-in validation and error-checking mechanisms to ensure data accuracy.
- Simplified processes that empowered business users to perform data updates without technical expertise.
- Centralized management and reporting for improved visibility and traceability.
DataLark’s robust SAP integration eliminated the inefficiencies of manual LSMW processes while delivering scalability and flexibility.
Results
With DataLark, the client transformed their data maintenance processes, enabling rapid, accurate, and efficient data management to support their expanding operations.
85%
85% faster execution of mass data maintenance tasks.
90%
90% reduction in errors through automated validation and user-friendly tools.
65%
65% improvement in operational efficiency by enabling business users to handle data changes independently.
Explore Opportunities for Advanced Master Data Management
FAQ
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How is DataLark different from SAP Master Data Governance (MDG)?
DataLark is purpose-built for enterprises that operate across both SAP and non-SAP systems. While SAP MDG is tightly coupled with the SAP ecosystem, DataLark offers a more flexible, cross-platform MDM solution. It provides native connectors, real-time sync, and low-code customization to ensure master data consistency across any combination of ERP, CRM, PLM, and custom applications. Furthermore, DataLark offers an intuitive drag-and-drop interface thus empowering business users to streamline and govern master data with ease.
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How is DataLark different from other master data management solutions?
Here is a detailed comparison table showcasing DataLark’s standing among MDM solutions.
Feature DataLark
SAP MDG Precisely Profisee Syniti Zero-code Interface ✔ ✖ ✖ ✔ ✖ Built-in SAP & Non-SAP Connectors ✔ ✔ ✔ ✔ ✔ Flexible Deployment (On-prem, Cloud, Hybrid) ✔ ✔ ✔ ✔ ✖ Pre-built Migration Templates ✔ ✖ ✖ ✖ ✔ Real-time Data Validation ✔ ✔ ✔ ✔ ✔ -
What systems does DataLark integrate with?
DataLark offers prebuilt connectors and APIs for a wide range of systems including:
- SAP (S/4HANA, ECC, Business Network, SuccessFactors)
- Salesforce, Oracle, Microsoft Dynamics
- Workday, ServiceNow, HubSpot
- Custom apps and legacy systems
Integration can be configured as real-time or batch-based, depending on business requirements.
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Who typically uses DataLark within an organization?
DataLark is designed for both technical teams and business users. Common user roles include:
- IT admins configuring integrations and transformation rules
- Compliance & risk officers ensuring governance
- Business analysts tracking data consistency and lineage
- Operations teams automating data flows
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Is DataLark secure and compliant with global standards?Yes, DataLark complies with enterprise-level security standards. This includes data encryption in transit and at rest, as well as multifactor authentication. Detailed logging ensures full traceability for all data flows. DataLark maintains highest-level security for all external connections.
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What deployment options are available?DataLark offers flexible deployment options — on-premise (laptops, VDIs, Windows servers), in the cloud (SAP BTP, AWS, Microsoft Azure), or hybrid — to meet your organization’s technical and security requirements.
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How long does it take to implement DataLark?Implementation time primarily depends on your landscape and internal onboarding policies for new applications. Most teams are up and running with DataLark within a few days to a few weeks — including infrastructure setup, SAP prerequisites (such as creating a dedicated user role for external access or importing transports, if required), installation, and guided onboarding.
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Do you offer a demo or free trial?Yes! You can schedule a personalized demo to see how DataLark works with your specific systems and use cases. We also offer a guided free trial to help you evaluate the platform hands-on in your own environment.