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Purpose
The purpose of this document is to define the conversion approach for Right of Use (ROU) assets Master and Transactional data in SyWay S/4 HANA. In ROU Fixed Assets migration both the master and transactional data will be migrated in one step. There will be only one SAP standard template which will be used for both the migration of the Master and Transactional data.
ROU Asset master consists of the following information:
- General information: Asset description, asset class, account determination, capitalization date etc.
- Time Dependent data: Cost Center, Plant, Location etc.,
- Depreciation terms data: Depreciation keys, Useful life and Depreciation areas
Conversion Scope
The scope of this document covers the approach for converting active ROU Assets from Legacy Source Systems into S/4HANA following the Master Data Design Standard DD-FUN-050 Master Data Standard_1070-Fixed Assets (incl. Sub Assets)
There are 2 group go-live as below:
- Group 1 go-live is planned for 1 July 2028
- Group 2 go-live is planned for 1 Jan 2029
RE-FX Contracts will be migrated to respective group go live as described in Enterprise Structure Catalog - Google Sheets (worksheet 10. Company code).
The data from legacy system includes:
The data from legacy system excludes:
List of source systems and approximate number of records
| Source | Scope | Source Approx No. of Records | Target System | Target Approx No. of Records |
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| PF2 | ROU Assets | 3,270 | S/4 HANA | Will be same as Source, unless any new Assets and/or deactivation of assets before Go-live |
| WP2 | ROU Assets | 1,044 | S/4 HANA | Will be same as Source, unless any new Assets and/or deactivation of assets before Go-live |
Multi-language Requirement
Document Management
Legal Requirement
Special Requirements
Target Design
The technical design of the target for this conversion approach.
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Data Cleansing
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Conversion Process
The high-level process is represented by the diagram below:
Data Privacy and Sensitivity
Extract data from a source into . There are 2 possibilities:
- The data exists. connects to the source and loads the data into . There are 3 methods:
- Perform full data extraction from relevant tables in the source system(s).
- Perform extraction through the application layer.
- Only if ; cannot connect to the source, data is loaded to the repository from the provided source system extract/report.
- The data does not exist (or cannot be converted from its current state). The data is manually collected by the business directly in . This is to be conducted using DCT (Data Collection Template) in
The agreed Relevancy criteria is applied to the extracted records to identify the records that are applicable for the Target loads
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Selection Screen
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Data Collection Template (DCT)
Target Ready Data Collection Template will be created for data with exception of some fields which require transformation as mentioned in the transformation rule. DCT Rules
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The Target fields are mapped to the applicable Legacy field that will be its source, this is a 3-way activity involving the Business, Functional team and Data team. This identifies the transformation activity required to allow to make the data Target ready:
- Perform value mapping and data transformation rules.
- Legacy values are mapped to the to-be values (this could include a default value)
- Values are transformed according to the rules defined in
- Prepare target-ready data in the structure and format that is required for loading via prescribed Load Tool. This step also produces the load data ready for business to perform Pre-load Data Validation
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Transformation Rules
| Rule # | Source system | Source Table | Source Field | Source Description | Target System | Target Table | Target Field | Target Description | Transformation Logic |
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| Mapping Table Name | Mapping Table Description |
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Pre-Load Validation
Project Team
Completeness
Accuracy
Business
Completeness
Accuracy
Load
The load process includes:
- Execute the automated data load into target system using load tool or product the load file if the load must be done manually
- Once the data is loaded to the target system, it will be extracted and prepared for Post Load Data Validation
Load Run Sheet
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Load Phase and Dependencies
Configuration
Conversion Objects
| Object # | Preceding Object Conversion Approach |
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| list the exact title of the conversion object of only the immediate predecessor – this will then confirm the DDD (Data Dependency Diagram) |
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Error Handling
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Post-Load Validation
Project Team
Completeness
Accuracy
Business
Completeness
Accuracy
| Task | Action |
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| Spot checks | Business should choose some ROU Assets and perform comprehensive checks of the fields in S/4 HANA. Recommended to verify sample data per company code and Asset class combination. |
| Conversion Accuracy | Verify that the ROU Assets in target S/4 HANA are loaded correctly via load program and validate post load reports using standard t.code AR01 from S/4 HANA. |
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Key Assumptions
- Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
- is in scope based on data design and any exception requested by business.
