Data Management

Get tailored supply chain and ERP data integration without the headaches of custom development. 


Unparalleled Speed and Scalability

By taking a “net change” approach that only captures data that has changed since the last update, large data volumes can be synchronized in dramatically less time. By reducing load and return times from and to ERP and other external data sources, more time is available for high-value business optimization with less impact on the ERP. 

Logility’s supply chain data management relieves internal IT resources of the burden of maintaining custom integration solutions, which minimizes total cost of ownership as integration needs evolve over time. Our template-based approach, featuring pluggable objects that contain detailed mappings and associated processing logic, ensures that Logility solutions can scale to meet even the most data-heavy integration requirements. Data flows are structured for maximum parallel processing, and the integration functionality can be distributed across multiple servers to provide greater scalability and minimize network loading. 

Implementation effort and time can be cut dramatically – by as much as 90% for many integration projects, and results are often complete in just 30 to 60 days. 

Cut integration effort and drive ROI

Reduce integration effort by up to 90%, providing a predictable time and cost to completion.

Scale to large data volumes

Only changed data gets reprocessed, with parallel, distributed in-memory processing. Large heterogeneous landscapes are encompassed with numerous data sources through a clean, simple design model.

Simplify support and upgrades

Clear separation between standard software and localized configurations or mappings simplifies support and upgrade requirements.

Ensure high-quality data

Advanced data transformation and error checking in the application keeps supply chain data management running at peak performance while identifying incomplete data for correction.

Logility provides very rapid and reliable integration with SAP as well as with other data sources.
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