Status
Owner	The person responsible for driving this decision and documenting it. Type @ to mention people by name
Stakeholders	The business stakeholders involved in making, reviewing, and endorsing this decision. Type @ to mention people by name

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In the legacy systems, Source List entries may be duplicated, outdated, or inconsistently maintained across plants and purchasing organizations.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.

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:

1. Valid Source List entries with active Vendor and Material

2. Entries with current or future Validity Period

3. Plant (when applicable) and Purchasing Organization combinations relevant to the business scope

4. Fixed vendor flags and quota arrangements, if maintained

The data from legacy system excludes:

1. Entries with deletion indicators

2. Expired entries with no future relevance

3. Entries referring to blocked materials or vendors

List of source systems and approximate number of records

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
PF2			S4H
WP2			S4H

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 (Not Applicable)

Legal Requirement

N/A (Not Applicable)

Special Requirements

N/A (Not Applicable)

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
EORD	MATNR	MATNR	Material Number	CHAR	18
EORD	WERKS	EWERK	Plant	CHAR	4
EORD	ZEORD	DZEORD	Number of Source List Record	NUMC	5	Mandatory
EORD	ERDAT	ERDAT	Record Created On	DATS	8
EORD	ERNAM	ERNAM	Name of Person Responsible for Creating the Object	CHAR	12
EORD	VDATU	ORDAB	Source List Record Valid From	DATS	8
EORD	BDATU	ORDBI	Source List Record Valid To	DATS	8
EORD	LIFNR	ELIFN	Supplier's Account Number	CHAR	10
EORD	FLIFN	FLIFN	Indicator: Fixed Supplier	CHAR	1
EORD	EBELN	EVRTN	Agreement Number	CHAR	10
EORD	EBELP	EVRTP	Agreement Item	NUMC	5
EORD	FEBEL	FEBEL	Fixed Outline Purchase Agreement Item	CHAR	1
EORD	RESWK	BEWRK	Plant from Which Material is Procured	CHAR	4
EORD	FRESW	FRESW	Fixed issuing plant in case of stock transport order	CHAR	1
EORD	EMATN	EMATN	Material Number Corresponding to Manufacturer Part Number	CHAR	40
EORD	NOTKZ	ORDSP	Blocked Source of Supply	CHAR	1
EORD	EKORG	EKORG	Purchasing Organization	CHAR	4
EORD	VRTYP	BSTYP	Purchasing Document Category	CHAR	1
EORD	EORTP	EORTP	Category of Source List Record	CHAR	1
EORD	AUTET	AUTET	Source List Usage in Materials Planning	CHAR	1
EORD	MEINS	BSTME	Purchase Order Unit of Measure	UNIT	3
EORD	LOGSY	LOGSYSTEM	Logical System	CHAR	10

Data Cleansing

All data cleansing should take place in the data source system as defined in this document, unless system limitations prevent it.

If data cleansing is managed outside of the source system (e.g. Syniti Migrate, 3rd Party Vendor, DCT), the necessary documentation must be produced and appended to this deliverable for sign-off.

ID	Criticality	Error Message/Report Description	Rule	Output	Source System

Conversion Process

The high-level process is represented by the diagram below:

Summarize High-Level Process. Include diagrams, where applicable. Include information supporting details of Extract, Transform and Load specific to the Data Object

Data Privacy and Sensitivity

Summarize Data Privacy and Sensitivity Requirements, if any

Extraction

Extract data from a source into Syniti Migrate. There are 2 possibilities:

1. The data exists. Syniti Migrate connects to the source and loads the data into Syniti Migrate. There are 3 methods:
   1. Perform full data extraction from relevant tables in the source system(s).
   2. Perform extraction through the application layer.
   3. Only if Syniti Migrate; cannot connect to the source, data is loaded to the repository from the provided source system extract/report.
2. The data does not exist (or cannot be converted from its current state). The data is manually collected by the business directly in Syniti Migrate. This is to be conducted using DCT (Data Collection Template) in Syniti Migrate

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

Selection Screen

If applicable, this section will give the details on any selection screen parameters, including the parameter type, that are required to be entered to ensure consistent data extracts.

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 Object data with exception of some fields which require transformation as mentioned in the transformation rule.

<Object> DCT Rules

Field Name	Field Description	Rule

Extraction Dependencies

List the steps that need to occur before extraction can commence

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 Syniti Migrate to make the data Target ready:

1. Perform value mapping and data transformation rules.
   1. Legacy values are mapped to the to-be values (this could include a default value)
   2. Values are transformed according to the rules defined in Syniti Migrate
2. 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

Use the exact name and reference this section in the “Transformation rules” above

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

The following pre-load validations will be performed by the Project Team.

Completeness

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Accuracy

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Business

The following pre-load validations will be performed by the business.

Completeness

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Accuracy

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Load

The load process includes:

1. Execute the automated data load into target system using load tool or product the load file if the load must be done manually
2. 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

Identify the phase as to “when” the load for this object will occur. <Pre-Cutover, Cutover, Post Cutover> and list the steps that need to occur before the load can commence

Configuration

List the Configurations required before loading can commence

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

The table below depicts some possible system errors for this data object during data load. All data load error is to be logged as defect and managed within the Defect Management

Error Type	Error Description	Action Taken

Post-Load Validation

Project Team

The following post-load validations will be performed by the Project Team.

Completeness

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Accuracy

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Business

The following post-load validations will be performed by the business.

Completeness

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Accuracy

Task	Action
title	specific details of what and how the task needs to be performed e.g. which reports are being used etc.

Key Assumptions

• Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
• Data Object is in scope based on data design and any exception requested by business.

Any additional key assumptions.

See also

Insert links and references to other documents which are relevant when trying to understand this decision and its implications. Other decisions are often impacted, so it's good to list them here with links. Attachments are also possible but dangerous as they are static documents and not updated by their authors.

Change log

Workflow history