Status
Owner	Prasad Naidu
Stakeholders	The business stakeholders involved in making, reviewing, and endorsing this decision. Type @ to mention people by name

Purpose

The purpose of this document is to define the conversion approach to create Business Partners - FI Customer (FLCU00) in S/4 HANA.

Business Partner - FI Customer Role captures the Customer’s FI data attributes such as Reconciliation Account, Tax Code, etc. at the Company Code level.

Conversion Scope

The scope of this document covers the approach for converting active from Legacy Source Systems into S/4HANA following the  Master Data Design Standard. 

The data from legacy system includes:

1. All Customer types

The data from legacy system excludes:

1. Blocked / marked for deletion
2. Inactive customers without transactions within 2 years

List of source systems and approximate number of records

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
PF2/PI2/WP2	Extract from KNA1,KNB1 and as determined as active based on the relevancy criteria.		S4

Additional Information

Multi-language Requirement

Summarize Multi-language Requirement/s, if any

Document Management

Summarize Document Management requirement, if any

Legal Requirement

Summarize Legal Requirement/s, if any

Special Requirements

Specify any special requirements or considerations that may impact the data conversion process based on specific locations, regulatory compliance or system limitations. Clearly outline any regional or localization requirements such as country-specific data formats, legal reporting obligations or industry standards that must be adhered to (e.g., localization rules for countries like China).

If the data conversion involves third-party systems or external data sources, such as Icertis, describe any additional requirements related to data mapping, transformation logic, validation rules or security measures that must be followed.

Target Design

With Functional input, document the technical design of the target fields that are in the scope of this document.

The technical design of the target for this conversion approach.

Table	Field	Data Element	Field Description	Data Type	Length	Requirement
MARA	MATNR	MATNR	Material Number	CHAR	18	Mandatory

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
		No legacy cleansing	Relevancy

Conversion Process

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

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
1	Refresh KNB1 tables via Syniti (Customer data)	Data

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
1	Ensure Syniti has the necessary connection and access to legacy servers	Data
2	Ensure that the necessary cleansing activities in legacy sources are complete	Data / Business
3	Ensure that create, change and deletion of master data is freeze in legacy Production system	Legacy IT

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
1	KNA1 relevancy execution in Syniti	Data
2	KNB1 relevancy execution in Syniti	Data
3	BP relevancy execution in Syniti	Data
4	Business partner FI Customer execution in Syniti	Data

Transformation Rules

Rule #	Source system	Source Table	Source Field	Source Description	Target System	Target Table	Target Field	Target Description
1	PF2/PI2/WP2	KNB1	KUNNR	Customer Account Number	S/4HANA	BP000	PARTNER	Business Partner Number
2	PF2/PI2/WP2	KNB1	BUKRS	Company Code	S/4HANA	BP001	BUKRS	Company Code
3	PF2/PI2/WP2	KNB1	AKONT	Reconciliation Account	S/4HANA	BP001	AKONT	Reconciliation Account
4	PF2/PI2/WP2	KNB1	ZTERM	Payment Terms	S/4HANA	BP001	ZTERM	Payment Terms
5	PF2/PI2/WP2	KNB1	ZWELS	Payment Methods	S/4HANA	BP001	ZWELS	Payment Methods
6	PF2/PI2/WP2	KNB1	VZSKZ	Payment Block	S/4HANA	BP001	VZSKZ	Payment Block Indicator
7	PF2/PI2/WP2	KNB1	XPORE	Individual Payment	S/4HANA	BP001	XPORE	Individual Payment Indicator
8	PF2/PI2/WP2	KNB1	ZUAWA	Sort Key	S/4HANA	BP001	ZUAWA	Sort Key
9	PF2/PI2/WP2	KNB1	DTAWS	Instruction Key	S/4HANA	BP001	DTAWS	Instruction Key

Transformation Mapping

Mapping Table Name	Description
Legacy Customer-BP Master Mapping	Legacy to S4 Business Partner customer mapping
Business Partner deDupe mapping (Global Data)	dedupe Golden-child (Global) mapping
Company Code Mapping	Legacy to S4 Company Code Mapping
Payment Terms Mapping	Legacy to S4 Payment Terms Mapping
Payment Method Mapping	Payment Method Mapping
Tax Category Mapping	Legacy to S4 Tax Category Mapping
Reconciliation Account Mapping	Legacy to S4 Reconciliation Account Mapping
Sort Key Mapping	Legacy to S4 Sort Key Mapping
Planning Group Mapping	Legacy to S4 Planning Group Mapping
deDupe customer Company Code Nominations Mapping	Golden-Child Company Code data Mapping

Transformation Dependencies

List the steps that need to occur before transformation can commence

Item #	Step Description	Team Responsible
1	Extract PF2/PI2/WP2 source tables – KNB1	Data
2	Ensure that Business Partner – General is loaded	Data
2	Ensure all Customer master data collection templates, deduplication and cleansing completeness and no errors	Data
3	Ensure that all required Configurations are in S/4HANA	Data

Pre-Load Validation

Project Team

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

Completeness

Task	Action
Verify count	Verify that the record count in the pre-load file is the same as the record count based on the approved DCT records

Accuracy

Task	Action
Data Accuracy	Data team to verify that all the data in the load table/file is accurate as per signed-off transformation rules and DCT contents
Mapping Error Reports	Verify that all necessary error reports have been validated, and that errors have been addressed.

Business

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

Completeness

Task	Action
Verify Count for all customers	Verify that the record count in the pre-load file is the same as the record count based on the relevancy (including deduplication) results
Verify Relevancy Rules	Verify that the relevancy rules were correctly applied

Accuracy

Task	Action
Verify Data Accuracy	Verify that all the data in the load table/file is accurate as per signed-off transformation rules and DCT contents
Review Error Reports	Verify that all necessary error reports have been validated, and that errors have been addressed.
Verify Transformation Rules	Verify that the transformation rules are correct and have been carried out correctly

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
1	Load Sample Business Partners	Data
2	Validate sample Business Partners	Data
3	Load remaining Business Partners	Data
4	Validate data loaded for Business Partners	Data
5	Load Sample BP Type – Customer Contact Persons	Data
6	Validate sample BP Type – Customer Contact Persons	Data
7	Load remaining BP Type – Customer Contact Persons	Data
8	Validate data loaded for BP Type – Customer Contact Persons	Data
9	Load Sample BP Type – Vendor Contact Persons	Data
10	Validate sample BP Type – Vendor Contact Persons	Data
11	Load remaining BP Type – Vendor Contact Persons	Data
12	Validate data loaded for BP Type – Vendor Contact Persons	Data
13	Load Sample BP Type - Bank Contacts (First Name, Last Name)	Data
14	Validate sample BP Type - Bank Contacts (First Name, Last Name)	Data
15	Load remaining BP Type - Bank Contacts (First Name, Last Name)	Data
16	Validate data loaded for BP Type - Bank Contacts (First Name, Last Name)	Data
17	Load Sample BP Type – BP General, FI Customer, FI Vendor	Data
18	Validate sample BP Type – BP General, FI Customer, FI Vendor	Data
19	Load remaining BP Type – BP General, FI Customer, FI Vendor	Data
20	Validate data loaded for BP Type – BP General, FI Customer, FI Vendor	Data
21	Load Sample Vendors Default Partner	Data
22	Validate sample Vendors Default Partner	Data
23	Load remaining Vendors Default Partner	Data
24	Validate data loaded for Vendors Default Partner	Data
25	Load Sample BP - General for remaining customer roles	Data
26	Validate sample BP - General for remaining customer roles	Data
27	Load remaining BP - General for remaining customer roles	Data
28	Validate data loaded for BP - General for remaining customer roles	Data
29	Load Sample BP – Customers with Default Partner	Data
30	Validate sample BP – Customers with Default Partner	Data
31	Load remaining BP – Customers with Default Partner	Data
32	Validate data loaded BP – Customers with Default Partner	Data
33	Load Sample BP - Bank Role	Data
34	Validate sample BP - Bank Role	Data
35	Load remaining BP - Bank Role	Data
36	Validate data loaded BP - Bank Role	Data
37	Load Sample BP Relationship Contact Person to Organisation (Will create KNVK records)	Data
38	Validate sample BP Relationship Contact Person to Organisation (Will create KNVK records)	Data
39	Load remaining BP Relationship Contact Person to Organisation (Will create KNVK records)	Data
40	Validate data loaded for BP Relationship Contact Person to Organisation (Will create KNVK records)	Data
41	Load Sample BP - Carrier	Data
42	Validate sample BP - Carrier	Data
43	Load remaining BP - Carrier	Data
44	Validate data loaded BP - Carrier	Data
45	Load Sample BP - Credit Management	Data
46	Validate sample BP - Credit Management	Data
47	Load remaining BP - Credit Management	Data
48	Validate data loaded BP - Credit Management	Data
49	Load Sample BP Collections Management	Data
50	Validate sample BP Collections Management	Data
51	Load remaining BP Collections Management	Data
52	Validate data loaded BP Collections Management	Data

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
1	Obtain the approved upload USER ID’s to be used (e.g. Firefighter ID)
2	SAP USER profile (SU3) Date and Decimal Notation Formats are in sync with the load format
3	Company Code Configuration
4	Incoterms Configuration
5	Plant Configuration
6	Confirmation Control Configuration
7	Payment Terms Configuration
8	Payment Method Configuration
9	Reconciliation Account Configuration
10	Withholding Tax Types Configuration

Conversion Objects

Object #	Preceding Object Conversion Approach
	Intercompany Business Partners
	Business Partner - Contact
	Business Partner – General
	GL Accounts

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
Configuration	<configuration> is not valid/missing	If it is a missing configuration item then engage Functional team to expedite and fix the error in the system.
Invalid Data	<parameter> is not valid.	The parameter entry needs to be reviewed (ex. invalid payment terms). If it is an invalid data, business needs to review and correct the source of the data either in PF2/PI2/WP2 or if it’s mapped in DCT.
Technical Setup	Interface / Connection issue within target system’s landscape	N/A – the data will be loaded directly to S/4HANA environment

Post-Load Validation

Project Team

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

Completeness

Task	Action
Verify full Count of Customers	Verify that the record count in the post-load file is the same as the record count based on the relevancy (including deduplication) results

Accuracy

Task	Action
Data Accuracy	Data team to verify that all the data in the load table/file is accurate as per signed-off transformation rules and DCT contents
Error Reports	Verify that all necessary error reports have been validated, and that errors have been addressed.

Business

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

Completeness

Task	Action
Verify full Count of Customers	Verify that the record count in the post-load file is the same as the record count based on the relevancy (including deduplication) results
Validate Loaded Data	Validate, as per the loads files signed-off, that all records were created

Accuracy

Task	Action
Verify Data Accuracy	Data team to verify that all the data in the load table/file is accurate as per signed-off transformation rules and DCT contents
Review Error Reports	Verify that all necessary error reports have been validated, and that errors have been addressed.
Validate Loaded Data	Validate, as per the loads files signed-off, that all records were created

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