| Status | In Progress |
|---|---|
| Owner | |
| Stakeholders |
Purpose
This document outlines the conversion strategy for migrating Source List data from SAP ECC systems to SAP S/4HANA.
In the legacy systems, Source List entries may be duplicated, outdated, or inconsistently maintained across plants and purchasing organizations. Some entries reference inactive vendors or materials and contain obsolete validity dates. As per SyWay standards, Source List data will be rationalized and aligned to the new S/4HANA data model.
---CHECKLIST---
- Logical Source and Target Systems are identified.
- Processing Type is specified (i.e. Direct Input, BAPI, IDoc, Web Service, OData API, etc.)
- Standard or custom load program name/BAPI/IDoc is specified to support this functionality.
- Data Mapping is provided for mappings which are not obvious to a suitably-skilled and experienced developer
- All translation requirements are clearly defined (including data validation rules, data derivation/calculation and default values, if applicable)Input and/or Output file layouts are provided for all record types possible
- Transaction volume is specified / Execution frequency is specified / Restart/Recovery requirements have been defined
- Error handling requirements are specified, including alerting requirement and expected action on failure.
- Application log requirement if applicable to be specified.
--- Additional topics to check---
- Update the Data Volume with a actual figures
- Rules for Data Merging (all systems)
- Mapping Rules & Conversion Rules
Conversion Scope
The objective is to convert active and relevant Source List entries from legacy systems (PF2, WP2) into S/4HANA in accordance with the Source List Master Data Design.
The Source List in SAP defines the approved supply source(s) for a specific material over a given timeframe and plant. It plays a critical role in the Source-to-Pay process, particularly in automatic sourcing and purchase requisition conversion.
The legacy systems already use Source List functionality, but the structure, completeness, and business relevance vary. A cleansing and standardization process will be undertaken to ensure only valid, non-redundant records are transitioned.
The data from legacy system includes:
Valid Source List entries with active Vendor and Material
Entries with current or future Validity Period
Plant (when applicable) and Purchasing Organization combinations relevant to the business scope
Fixed vendor flags and quota arrangements, if maintained
The data from legacy system excludes:
Entries with deletion indicators
Expired entries with no future relevance
Entries referring to blocked materials or vendors
| Source | Scope | Source Approx No. of Records | Target System | Target Approx No. of Records |
|---|---|---|---|---|
| P2F | The Source List will be extracted/collected via DCT. An initial extract of the relevant data will be provided in Google Sheet format to assist business in decision making. Any additional data that need to be created to support the new design may be added in the DCT. | 217.793 | S4H | 180.000 |
| WP2 | 139.062 | S4H | 90.000 |
Data will be extracted via Syniti Migrate and formatted into DCTs (Data Collection Templates). Business users will validate and confirm the relevance of each entry.
Additional Information
Multi-language Requirement
Descriptions are not applicable for Source List records, but Plant and Purchasing Organization descriptions may be presented in English and logon language if available.
Document Management
N/A
Legal Requirement
N/A
Special Requirements
Processing Type ETL:
The extraction and transformation will be done by Syniti, while the loading will be executed by a Standard tool of SAP Migration Cockpit.
- E - Extraction: Data will be Extracted from at least two source systems. This process will be executed by Syniti
- T - Transform: Data will be Cleansed, Transformed, Merged, and staging areas of Migration Cockpit will be updated by Syniti
- L - Loading: Data will be Loaded using the Migration Cockpit
Target Design
Source List data will be loaded into SAP S/4HANA tables EORD and EINE (if applicable for quota and vendor assignment) according to the standard structure:
The technical design of the target for this conversion approach.
| Table | Field | Data Element | Field Description | Data Type | Length | Requirement |
|---|---|---|---|---|---|---|
| S_EORD | ZEORD | Number of Source List Record (Legacy) | CHAR | 20 | The field is auto generated | |
| S_EORD | MATNR | Product Number | CHAR | 80 |
| |
| S_EORD | WERKS | Plant | CHAR | 80 |
| |
| S_EORD | VDATU | Source List Record Valid From | DATE | 8 | ||
| S_EORD | BDATU | Source List Record Valid To | DATE | 8 | Do not send records that have this field in the past | |
| S_EORD | LIFNR | Supplier's Account Number | Text | 80 |
| |
| S_EORD | EKORG | Purchasing Organization | Text | 80 |
| |
| S_EORD | TYPE | Agreement Type | Text | 1 | ||
| S_EORD | EBELN | Outline Purchase Agreement Number | Text | 80 | ||
| S_EORD | EBELP | Agreement Item | Number | 5 | ||
| S_EORD | FLIFN | Indicator: Fixed Supplier | Text | 1 | ||
| S_EORD | NOTKZ | Indicator: Blocked | Text | 1 | ||
| S_EORD | AUTET | Source List Usage in Products Planning | Text | 80 |
Data Cleansing
Standardization activities include:
| ID | Criticality | Error Message/Report Description | Rule | Output | Source System |
|---|---|---|---|---|---|
| 1097-002 | C1 | Elimination of expired entries | Remove expired dates before upload the date | ||
| 1097-004 | C1 | Standardizing date formats and flags | Check whether the date format is correct according to the users language |
Conversion Process
The conversion process begins with the extraction of Source List records from ECC systems based on relevancy criteria. These records are pre-validated to ensure referenced materials and vendors are active and valid. The validated data is then loaded into the DCT where cleansing, standardization, and transformation activities are performed. Once complete, the business reviews the entries and confirms readiness. Following this, load files are prepared and test loads are executed for validation. If successful, a full data load is carried out into S/4HANA, followed by a post-load validation to confirm completeness and accuracy.
Data Privacy and Sensitivity
N/AExtraction
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 |
|---|---|---|
001 | Extract data from source system based on relevancy rule | SyWay Data Team |
002 | Google Sheet report pre-populated with PF2 and WP2 information to be generated based on relevancy criteria. | SyWay Data Team |
003 | Only extract data that is NOT marked for deletion Where: EINA-LOEKZ = ”” | SyWay Data Team |
004 | Only extract records that are still valid Where: EINA-LIFBI >= Today’s date | SyWay Data Team |
005 | Extract Info Records for Vendors that are NOT marked for deletion and are part of an Info Record | SyWay Data Team |
006 | Extract Info Records for Vendors that are in scope | SyWay Data Team |
007 | Extract Info Records for Materials that are NOT marked for deletion and are part of the respective Info Record | SyWay Data Team |
008 | Extract Info Records for Materials that are in scope | SyWay Data Team |
009 | Extract Info Records for Plants that are in scope. Do this check when EINE-WERKS is different than initial | SyWay Data Team |
Selection Screen
| Selection Ref Screen | Parameter Name | Selection Type | Requirement | Value to be entered/set |
|---|---|---|---|---|
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
| Field Name | Field Description | Rule |
|---|---|---|
Extraction Dependencies
| Item # | Step Description | Team Responsible |
|---|---|---|
001 | Vendor - The Info Record is created for a specific vendor, therefore the vendor must exist and be active | S2P |
002 | Material - The Info Record is for a specific material, therefore the material must exist and be active | S2P |
003 | Purchasing Organization - Mandatory organizational level (configuration). Must be valid for both the vendor and material | S2P |
004 | Plant (optional) - If a plant-specific Info Record is used, the plant must be valid (included on scope) and maintained | FICO |
005 | Currency & UoM - Must align with vendor master and material master data | S2P |
006 | Tax Code - Should exist in system and be consistent with vendor's country and plant region | S2P |
007 | Conditions - Purchasing conditions (price, discounts, scales) are typically stored in condition records. Linked to Info Records via condition tables | S2P |
008 | Vendor Master Settings - The vendor must have the purchasing organization maintained in purchasing view | S2P |
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 |
|---|---|---|
| 001 | Identify target S/4HANA fields and determine applicable legacy source fields from both ECC systems WP2, PF2 | Functional Team (S2P)+ Data Team (S2P) |
| 002 | Review condition types and access tables used in each ECC source systems WP2, PF2.Those have to be translated into the new S/4Hana Conditions | Business Team + Functional Team (S2P) |
| 003 | Map legacy field values to S/4HANA target values (including field-level mapping and technical names) | Data Team (S2P), Data Team (Syniti) |
| 004 | Define value mapping rules for fields requiring standardization or harmonization across the two source systems WP2 and PF2. | Functional Team (S2P)+ Data Team (S2P) |
| 005 | Identify and agree on default values where legacy data is incomplete or inconsistent | Business Team + Functional Team (S2P) |
| 006 | Configure transformation rules in Syniti Migrate (including calculated fields, formatting rules, etc.) | Data Team (Syniti), Data Team (S2P) |
| 007 | Review transformation logic and mappings with Business for confirmation | Business Team + Functional Team (S2P) |
| 008 | Perform initial transformation run and generate draft target-ready dataset | Data Team (Syniti), |
| 009 | Review draft target-ready data for structure and completeness | Data Team (S2P), Functional Team (S2P) |
| 010 | Share transformed data with Business for Pre-load Validation | Business Team |
| 011 | Incorporate feedback from Business and refine mappings or transformation logic as needed | Data Team (S2P) |
| 012 | Finalize and approve transformed data as Target Ready Load File | Business + Functional (S2P) + Data Team (S2P) |
| 013 | Handover final file to Load Team or trigger the load via Syniti Load Workbench | Data Team (Syniti), Data Load Team |
Transformation Rules
| Rule # | Source system | Source Table | Source Field | Source Description | Target System | Target Table | Target Field | Target Description | Transformation Logic |
|---|---|---|---|---|---|---|---|---|---|
001 | Legacy | EORD | MATNR | Material | S/4HANA | EORD | MATNR | Material | Select the new Material Code from the mapping table and update the corresponding target structure accordingly |
002 | Legacy | EORD | LIFNR | Vendor | S/4HANA | EORD | LIFNR | Vendor | Select the new Vendor Code from the mapping table and update the corresponding target structure accordingly |
003 | Legacy | EORD | MEINS | Order Unit | S/4HANA | EORD | MEINS | Order Unit | Select the new Order Unit Code from the mapping table and update the corresponding target structure accordingly |
004 | Legacy | EORD | WERKS | Plant | S/4HANA | EORD | WERKS | Plant | Select the new Plant Code from the mapping table and update the corresponding target structure accordingly |
Transformation Mapping
| Mapping Table Name | Mapping Field Name | Mapping Table Description |
|---|---|---|
LIFNR | LIFNR | <Vendor> |
MATNR | MATNR | <Material> |
WERKS | WERKS | <Plant> |
EKORG | EKORG | <Purchasing Organization> |
EKGRP | EKGRP | <Purchasing Group> |
MATKL | MATKL | <Material Group> |
MEINS | MEINS | <Unit of Measure> |
Transformation Dependencies
List the steps that need to occur before transformation can commence| Item # | Step Description | Team Responsible |
|---|---|---|
| 001 | Org structure configuration is complete | Functional Team (S2P) + Data Team (S2P) |
| 002 | Configuration for Purchasing Conditions is complete | Functional Team (S2P) + Data Team (S2P) |
| 003 | Value Mapping Tables are complete | Functional Team (S2P) + Data Team (S2P) |
| 004 | Dependent Master Data records for Materials / Vendors are loaded | Functional Team (S2P) + Data Team (S2P) |
Pre-Load Validation
Project Team
The following pre-load validations will be performed by the Project Team.Completeness
| Task | Action |
|---|---|
| Configuration | Ensure necessary configurations are in place in target system and field mapping is aligned with access sequence, pricing condition types |
| Review Mapping Table | Ensure all the source organization units are mapped with target values |
| Check Values | Validate the pre-load data confirming the values are aligned with target system format and |
| Validate template structure and required field population | Ensure mandatory fields like VKORG, VTWEG, MATNR, KUNNR, KSCHL, valid dates are filled |
Accuracy
| Task | Action |
|---|---|
| Review Mapping Table | Ensure all the source organization units are mapped with target values |
| Check mapping rules against configuration (access sequences, condition tables) | Cross-check mapping sheet with customizing entries in V/03, V/04, V/05, V/08 |
| Set up validation rules based on condition tables and field catalog | Use rule-based validation and lookups against master data (e.g., MARA, KNA1) |
| Perform format validation (date, currency, decimal separators) | Standardize format to match SAP accepted input (e.g., YYYYMMDD for dates) |
| Implement logic to detect duplicate condition records | Example: Run duplicate checks using key combinations (e.g., VKORG + MATNR + KUNNR) |
| Conduct dry runs using LTMC or BAPIs and review logs | Analyze load results and correct format or conversion errors |
Business
The following pre-load validations will be performed by the business.Completeness
| Task | Action |
|---|---|
| Check whether the total number of records meet the final result after Data Cleansing | Check the total number of records and compare the source system against SAP S4Hana |
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
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|---|---|---|---|---|
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