Data migration

Release Update | 25R2

Mastering Data Migration in IFS Cloud 25R2

Leveraging the Smart Data Manager to transform legacy chaos into structured, audit-ready assets.

In the 25R2 release, data migration has evolved from a technical "backend task" to a governed business process. With the enhanced **Data Migration Manager (DMM)**, IFS Cloud now offers a standardized, containerized approach to moving data, significantly reducing the reliance on fragile, custom PL/SQL scripts.

The Shift: Smart Data Manager

The core innovation in 25R2 is the maturity of the Smart Data Manager. Unlike legacy migration tools that pushed data directly into production tables, the Smart Data Manager utilizes a strict "Staging" methodology. This ensures that no data enters the core system until it passes rigorous validation rules defined by the business, not just the IT department.

25R2 Migration Capabilities

 
1. Containerized Staging

25R2 allows you to create isolated "Migration Projects" (Containers). You can load data from Excel, CSV, or external SQL DBs into these containers without affecting the live environment. This allows for iterative testing—you can wipe and reload the container 50 times without creating "junk" in the actual Master Data.

 
2. Mapping & Transformation

The Mapping tool in 25R2 provides a visual interface to map Legacy Fields to IFS Cloud Fields.
New in 25R2 Auto-Mapping: The system uses fuzzy logic to suggest mappings based on column headers, speeding up the initial setup by up to 40%.

 
3. Pre-Load Validation

The system runs "Basic Data" checks before the load. For example, if you try to migrate a Customer Order, the Smart Data Manager verifies that the Customer ID, Sales Part, and Currency already exist in the target environment. If not, the specific line is flagged as "Error" while valid lines proceed.

The "Evergreen" Advantage

Migration jobs built in 25R2 are persistent. Unlike one-off scripts, these migration containers can be reused for future M&A activities (merging new companies) or bulk-updates, ensuring your investment in data mapping pays dividends long after Go-Live.

25R2 Readiness Checklist
  • Define "Source" identifiers.
  • Cleanse duplicates in Legacy before extraction.
  • Validate "Basic Data" (Sites, Currencies) first.
  • Run Mock Load in Test Container.

25R2 Migration FAQs

25R2 utilizes parallel processing within the Data Migration Manager. You can configure "Deployment Sets" to run concurrently (e.g., loading Customers and Suppliers at the same time), significantly reducing the Cutover Weekend window compared to sequential loading.

Yes. The Smart Data Manager has excellent support for Excel ingestion. It can read flat files directly into the staging containers. However, for massive datasets (>500k rows), we recommend connecting directly to a staging SQL database/Data Lake for better performance.

In 25R2, valid records are committed, and invalid records are flagged in a "Feedback" view. You can fix the data directly in the Staging Container (via the UI) and re-process only the failed lines without rolling back the entire job.