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.
Enjoy a predictable time and cost to completion, as well as the ability to scale and adapt to new business requirements over time while maintaining strict data security. 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.
By using Logility as your master data management solution, 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.