
Visual Mapping for Smarter Data Flows with DataLark
Use a visual interface to map fields, apply transformation logic, and optimize data delivery across systems — with full visibility and precision.
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Make mass SAP data changes quickly and easily
- Design Data Flow
- Run Data Flow
- Analyze Results
Connect with any data sources and target systems, SAP or non-SAP, and easily manage data transformation processes
Control all key parameters of your data flows, preview source data on-the-spot, and monitor your data flows in real time
Review the history of past data flow executions and delve into detailed logs for each step
Visual Data Mapping with DataLark: Key Features
Comprehensive Monitoring & Logging
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Who Can Benefit from DataLark’s Visual Data Mapping
Data Engineers
Data Analysts
Product Teams
Cloud Architects
Business Intelligence Teams
E-commerce Operations
Healthcare IT Teams
Consultancies & Agencies
Trusted by Leaders in the Industry
- A leading developer of autonomous electric vehicles
- A leading global provider of minimally invasive surgical products
Problem
The client encountered challenges integrating their 3DEXPERIENCE (3DX) PLM system with SAP S/4HANA. Standard interfaces were insufficient for handling complex routing data, leading to:
- Manual data entry for routings, increasing errors and inefficiencies.
- Difficulty synchronizing detailed manufacturing processes between systems..
- Delays in production planning and scalability issues.
These challenges hindered the client’s ability to manage and scale their manufacturing operations effectively.
Solution
DataLark provided a comprehensive integration solution, automating the synchronization of routing data between 3DX PLM and SAP S/4HANA. Key features included:
- Material Assignment: Ensuring accurate links between materials and routings.
- Sequences, Operations, and Sub-Operations: Capturing detailed manufacturing steps.
- Classification: Organizing routings and operations for consistency.
- Component Allocation: Assigning required components to operations.
- Production Resources/Tools (PRTs): Integrating necessary tools into processes.
- Inspection Characteristics: Embedding quality control parameters.
The solution delivered a fully automated, bidirectional interface between systems, ensuring real-time synchronization and data integrity.
Results
The client now benefits from a robust and efficient integration, enabling innovative manufacturing processes, seamless data synchronization, and greater scalability.
80%
80% Reduction in Manual Data Entry: Automation eliminated tedious and error-prone tasks.
70%
70% Improvement in Data Accuracy: Real-time updates ensured reliable data across systems.
50%
50% Faster Production Planning: Streamlined data flow accelerated planning cycles.
Problem
The client needed to integrate their Windchill Product Lifecycle Management (PLM) system with SAP ECC. Standard interfaces were inadequate for managing complex data related to change masters, materials, bills of materials (BOMs), and document info records (DIRs). This led to:
- Manual data entry, increasing the risk of errors and inefficiencies.
- Difficulties in synchronizing detailed product data and engineering changes between systems.
- Delays in production planning and challenges in scaling operations.
These issues created significant obstacles to achieving efficient and scalable data management across systems.
Solution
DataLark provides a comprehensive integration solution, automating the synchronization of key objects between Windchill PLM and SAP ECC. Key features include:
- Change Master Integration: Ensuring accurate tracking and implementation of engineering changes across both systems.
- Product Master Synchronization: Maintaining consistency of product data, including specifications and attributes.
- BOM Alignment: Synchronizing bills of materials to ensure accurate representation of product structures.
- Document Info Records (DIRs): Managing and linking essential documents to relevant product data.
The solution is designed to deliver a fully automated interface between the systems, ensuring comprehensive integration and data integrity.
Anticipated Benefits
This robust and efficient integration approach provides a scalable foundation for innovative manufacturing processes and seamless data synchronization.
75%
75% Reduction in Manual Data Entry: Automation reduces tedious and error-prone tasks.
55%
55% Improved Data Accuracy: Real-time updates ensure reliable data across systems.
60%
60% Faster Production Planning: Streamlined data flow accelerates planning cycles.
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FAQ
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How is DataLark different from traditional data mapping tools?Traditional tools are often complex, code-heavy, and siloed. DataLark offers a modern, visual approach that blends power with usability — making it easier to onboard teams, collaborate across roles, and scale your data mapping workflows.
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What types of data sources does DataLark support?DataLark supports a wide and growing library of connectors, including databases (PostgreSQL, Microsoft SQL Server, Oracle, IBM DB2, SAP HANA), cloud data warehouses (Snowflake, BigQuery, Redshift), cloud storage (like AWS S3), file-based sources (Excel, CSV, XML, JSON), enterprise platforms (SAP, Salesforce), APIs, SaaS tools (like HubSpot, Workday, ServiceNow), and more.
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Is my data secure with DataLark?
Yes. DataLark uses industry-standard encryption and supports secure communication between all application components. It supports SAP SNC for encrypted access to SAP systems and offers multi-factor authentication (MFA) for logging into the application.
DataLark is not a staging area and does not store your data — data is accessed only during runtime for processing. For environments with stricter requirements, DataLark can also be installed in a modular setup, allowing separate deployment of the UI, application server, and internal databases.
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What kind of data transformations can DataLark perform?DataLark supports both no-code and low-code data transformations to help you standardize, enrich, and reshape your data before it’s loaded into the target system. Business rules can be defined in a clear, plain-text format using a visual editor, making it easy for both technical and non-technical users to configure transformation logic. Rules can include conditions, actions, and fallback logic, allowing users to apply changes only when specific criteria are met. All transformations are part of a fully visual data mapping experience, where you can see how source fields connect to targets and how each step transforms your data.
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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.