| Status | Revision in Progress |
|---|---|
| Owner | |
| Stakeholders |
Purpose
The purpose of this document is to define the conversion approach to create TM-Transportation lanes in S/4 HANA TM (Transportation management).
In SAP Transportation Management (SAP TM), transportation lanes are a foundational master data object that represent the relationship between two locations, two transportation zones, or a combination of locations and transportation zones that expresses the direct reachability of the locations, or of all locations, within the transportation zones for a specific means of transport (MTr).
<Assumption> The data for TM-Transportation lanes in S/4 would need to be constructed in data collection template (DCT).
Conversion Scope
The scope of this document covers the approach for creating Transportation lanes in S/4HANA following the TM-Transportation lanes Master Data Design Standard.
This includes:
- Capturing and using the transportation lanes data in data collection template (DCT).
- Applying transformation logic via Syniti to conform with the S/4 HANA data model.
- Loading the transformed data into SAP S/4 HANA while ensuring data integrity.
The data from legacy system includes:
- N/A (Manual data collection)
The data from legacy system excludes:
- N/A (Manual data collection)
| Source | Scope | Source Approx No. of Records | Target System | Target Approx No. of Records |
|---|---|---|---|---|
| DCT | Creation of TM-Transportation lanes | TBD | S/4 HANA (TM) | TBD |
Additional Information
Multi-language Requirement
Document Management
Legal Requirement
Special Requirements
Target Design
Transportation lanes data adheres to the Master Data Standard. The complete information of the key fields that hold the default route information follows the Master Data Standard document.
The technical design of the target for this conversion approach.
| Table | Field | Data Element | Field Description | Data Type | Length | Requirement |
|---|---|---|---|---|---|---|
| /SAPAPO/TR | locfr | Start Location/Zone | CHAR | 22 | Mandatory | |
| /SAPAPO/TR | locto | Destination Location/Zone | CHAR | 22 | Mandatory | |
| /SAPAPO/TRM | valfr | Start date defaulted to date of migration/creation | NUM (DATE) | 15 | Mandatory | |
| /SAPAPO/TRM | valto | End date defaulted to 31.12.9999 | NUM (DATE) | 15 | Mandatory | |
| /SAPAPO/TRM | DIST | Transportation Distance | NUM | 10,3 | Mandatory | |
| /SAPAPO/TRM | DURAT | Transport Duration | NUM | 11 | Mandatory | |
| /SAPAPO/TRM | ttype | Means of Transport | CHAR | 10 | Mandatory | |
| /SAPAPO/TRMC | stbase | Priority/Costs default should be D (cost*priority) | CHAR | 1 | Mandatory | |
| /SAPAPO/TRMC | cobase | Cost Origin default should be T (cost calculated by component TCM) | CHAR | 1 | Mandatory | |
| /SAPAPO/TRMC | cmbase | Contin Move Type Two possibilities, depend on the scenario. | CHAR | 1 | Mandatory | |
| /SAPAPO/TRMCARR | partner | Carrier | CHAR | 10 | Mandatory | |
| /SAPAPO/TRMCARR | ttype | Means of Transport | CHAR | 10 | Mandatory | |
| /SAPAPO/TRMCARR | valfr | Start date defaulted to date of migration/creation | NUM (DATE) | 15 | Mandatory | |
| /SAPAPO/TRMCARR | valto | End date defaulted to 31.12.9999 | NUM (DATE) | 15 | Mandatory | |
| /SAPAPO/TRMCARR | CARRTRCOST | Transportation Cost | NUM | 15,2 | Mandatory | |
| /SAPAPO/TRMCARR | CARRTRCOSTUNIT | Unit of Measure for Transportation Costs of a Product | CHAR | 3 | Mandatory | |
| /SAPAPO/TRMCARR | CARRPRIO | Priority of Transportation Service Provider | CHAR | 3 | Mandatory |
Data Cleansing
Transportation lanes data will be populated directly in the Data Collection Template (DCT).
| ID | Criticality | Error Message/Report Description | Rule | Output | Source System |
|---|---|---|---|---|---|
Conversion Process
The high-level process is represented by the diagram below:
Data Privacy and Sensitivity
Extraction
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
Extraction Run Sheet
| Req # | Requirement Description | Team Responsible |
|---|---|---|
| 1 | Data is populated in the DCT or uploaded from downloaded Excel template | Data owner (Business) |
| 2 | If the data is uploaded to DCT in bulk via excel template, any upload errors need to be reviewed and corrected | Data owner (Business), Syniti/ Data Team |
| 3 | The data which has passed validation checks in DCT will be used for transformation/further processing | Syniti |
Selection Screen
| Selection Ref Screen | Parameter Name | Selection Type | Requirement | Value to be entered/set |
|---|---|---|---|---|
Data Collection Template (DCT)
A Target Ready Data Collection Template will be created for the required data, except for fields that need transformation as per the defined transformation rules. It will follow the format required by the target S/4HANA Transportation lanes.
Please find below the DCT details.
DCT Rules
Discuss with Syniti Later if we capture all languages in one DCT or if to split another DCT for other Languages.
Please refer to the above Google sheet for the DCT rules.
| Field Name | Field Description | Rule |
|---|---|---|
Extraction Dependencies
| Item # | Step Description | Team Responsible |
|---|---|---|
Transformation
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
Transformation Run Sheet
| Item # | Step Description | Team Responsible |
|---|---|---|
Transformation Rules
| Rule # | Source system | Source Table | Source Field | Source Description | Target System | Target Table | Target Field | Target Description | Transformation Logic |
|---|---|---|---|---|---|---|---|---|---|
Transformation Mapping
| Mapping Table Name | Mapping Table Description |
|---|---|
Transformation Dependencies
List the steps that need to occur before transformation can commence| Item # | Step Description | Team Responsible |
|---|---|---|
Pre-Load Validation
Project Team
Completeness
| Task | Action |
|---|---|
Accuracy
| Task | Action |
|---|---|
Business
Completeness
| Task | Action |
|---|---|
Accuracy
| Task | Action |
|---|---|
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
| Item # | Step Description | Team Responsible |
|---|---|---|
Load Phase and Dependencies
Configuration
| Item # | Configuration Item |
|---|---|
Conversion Objects
| Object # | Preceding Object Conversion Approach |
|---|---|
| list the exact title of the conversion object of only the immediate predecessor – this will then confirm the DDD (Data Dependency Diagram) | |
Error Handling
| Error Type | Error Description | Action Taken |
|---|---|---|
Post-Load Validation
Project Team
Completeness
| Task | Action |
|---|---|
Accuracy
| Task | Action |
|---|---|
Business
Completeness
| Task | Action |
|---|---|
Accuracy
| Task | Action |
|---|---|
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.
See also
Change log
Workflow history
| Title | Last Updated By | Updated | Status | |
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