IFS Cloud Data Migration Object Tracker
IFS Cloud projects tend to stall when migration objects have no named owner or no honest status. This tracker lists each object with its source, business owner, cleansing state and remaining effort, and totals what is left.
| Migration object | Functional area | Source system or file | Business owner | Cleansing status | Estimated hours | Percent complete (%) | Remaining hours | |
|---|---|---|---|---|---|---|---|---|
36 | ||||||||
0 | ||||||||
13.5 | ||||||||
108 | ||||||||
80 | ||||||||
40 |
Replace the sample objects with your own scope. Estimated hours are your planning figure, not an IFS standard. Review percent complete weekly with each business owner.
Profile your source data before IFS mock 1
Optional: share your source layout and we can suggest profiling queries that size cleansing effort.
Optional. The tool and every export work without this. No spam.
How to use the tracker
Start with the functional areas in your IFS Cloud scope and list the master and transaction data each area needs. Assign a business owner to every object, not just an IT contact, because cleansing decisions are business decisions. Estimate hours for extract, transform, cleanse and load, then update percent complete weekly. Remaining hours are calculated for you and roll up into an overall progress figure.
Which objects usually come first
Reference and master data load before transactions: company and accounting setup, parts, suppliers, customers, then structures and routings, then equipment and open documents, and finally opening balances. Keep a dependency note beside each object so nobody tries to load open purchase orders before parts and suppliers exist in the target.
- Master data first, open transactions late.
- Freeze or tightly control legacy master data changes after the final mock.
- Agree what history, if any, will be migrated versus archived.
Reading the remaining hours
If remaining hours in the late objects are large while early objects are done, the plan is back-loaded and carries cutover risk. Objects that are still Not started close to the first mock should be escalated. Use the cleansing status to separate effort that is blocked on the business from effort that is blocked on technical work.
Common mistakes
Treating the migration as an IT task is the biggest one: without business owners signing off cleansed data, mocks repeat the same errors. Another is estimating only the load and forgetting cleansing and reconciliation, which usually take longer. Finally, teams often skip attachments and documents, which need their own approach and owner.
Frequently Asked Questions
Does this replace the IFS migration tooling?
No. It is a planning and tracking sheet that sits beside whichever IFS migration tools your partner uses. It records scope, ownership, status and effort, not the actual data loads.
Are the estimated hours realistic?
The sample figures are illustrations only. Your hours depend on data quality, volume and how many source systems feed each object. Replace them with estimates from your team after profiling the data.
Can I add columns?
You can add and delete rows in the tool. For extra columns, export to Excel and extend the sheet there. Common additions are target IFS entity, mock cycle and defect count.
Who should own each object?
A business owner who can decide what is correct, for example the materials manager for parts and the controller for opening balances. IT or the partner supports the mechanics, but the owner signs off the cleansed data.
If you are migrating from SyteLine, Infor LN, QAD or another ERP into IFS Cloud, Netray can help profile the source data and build the extract and reconciliation queries.
Related Tools
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More ERP Migration & Selection tools
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- ERP Go-Live Readiness Checklist
- ERP Change Management Readiness Assessment
- ERP Integration Complexity Calculator
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- ERP Upgrade vs Replace Assessment
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