Status

OwnerPrasad Naidu
StakeholdersThe 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 Customer Master Data from Legacy Source Systems into S/4HANA Business Partner Collection Management (UDM00) Master Data Design Standard. 

The CNV-3007 Business Partners – General (Role 000000) relevancy criteria will also be used for this conversion document.

Customer Master Data - General Information

The data from legacy system includes:

1. Customer with AR Balance under the company codes within S4 Hana implementation scope (BSID-KUNNR).
2. or (Customer doesn't have central deletion indicator (KNA1-LOEVM="") AND Customer has active sales view data within the sales organizations in scope(KNVV-KUNNR)) and there is usage within 4 years. * modified on 16/Oct/2025
3. or (Customer doesn't have central deletion indicator and customer has active company code view within the company codes in scope) and there is usage within 4 years. * modified on 16/Oct/2025
4. or there is customer consignment stock and the plant for the consignment stock is within S4 Hana implementation scope. 
5. or Customer is set as the credit account for other customers, and either the customer or credit account customer is not deleted. (if both customer or credit account is deleted, then not in migration scope)

6.  Intercompany customer will be defined based on the Enterprise structure. (To identify Intercompany customer, trading partner will be used. In the meantime, Group field(KNA1-KONZS) from customer general data will be used. For WP2/PF2, Group value = 0000810135 (Syensqo) )

7. or the customer in the partner function is active, then the parent customer will also be migrated. * added on 16/Oct/2025

8. or the customer is active in Salesforce and there are activities within 48 months.* added on 16/Oct/2025

9. or there is an existing forecast for the customer in Kinaxis. * added on 16/Oct/2025

10. or there is active master data for the customer, such as active Pricing Condition records. * added on 16/Oct/2025


CriteriaRelevancy RuleTechnical Details
1Customer with AR Balance under the company codes within S4 Hana implementation scope Select KUNNR from BSID where BSID-BUKRS in (Company code in scope)
2

or (Customer doesn't have central deletion indicator AND Customer has active sales view data within the sales organizations in scope) and there is usage within 4 years.

Select KUNNR from KNA1 where KNA1-LOEVM="" and KNVV-KUNNR = KNA1-KUNNR AND KNVV-VKORG in (Sales Org in scope) and KNVV-LOEVM = "" and usage within 4 years. 


  1. Accounting document (Select MAX(BSAD/BSID-CPUDT) where BSAD/BSID-KUNNR =KNA1-KUNNR and BSAD/BSID-BUKRS = (Company code in scope) )
  2. Sales Document (Select MAX(VBAK-ERDAT) WHERE VBAK-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
  3. Delivery Document (Select MAX(LIKP-ERDAT) WHERE LIKP-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
  4. Billing   (Select MAX(VBRK-ERDAT) WHERE VBRK-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
3

or (Customer doesn't have central deletion indicator and customer has active company code view within the company codes in scope) and there is usage within 4 years

Select KUNNR from KNA1 where KNA1-LOEVM="" and KNB1-KUNNR = KNA1-KUNNR AND KNB1-BUKRS in (Company code in scope) and KNB1-LOVEM = "" and usage with 4 years


  1. Accounting document (Select MAX(BSAD/BSID-CPUDT) where BSAD/BSID-KUNNR =KNA1-KUNNR and BSAD/BSID-BUKRS = (Company code in scope) )
  2. Sales Document (Select MAX(VBAK-ERDAT) WHERE VBAK-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
  3. Delivery Document (Select MAX(LIKP-ERDAT) WHERE LIKP-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
  4. Billing   (Select MAX(VBRK-ERDAT) WHERE VBRK-VBELN=VBPA-VBELN AND VBPA-KUNNR = KNA1-KUNNR)
4or there is customer consignment stock and the plant for the consignment stock is within S4 Hana implementation scope. Select KUNNR from MSKU where MSKU-WERKS in (Plant in scope)
5or Customer is used for Credit Limit Reference in Credit Management, only when the credit account is different from the customer, and at least credit account or customer is still active.Select  KNKLI from KNKK where KNKK-KKBER  = T001CM-KKBER  and T001CM-BUKRS in (Company Code in scope based on the sales organization) where KNKK-KUNNR<>KNKK-KNKLI AND (KNA1-LOEVM is initial where KNA1-KUNNR = KNKK-KUNNR or KNA1-LOEVM is initial where KNA1-KUNNR = KNKK-KNKLI)
6Intercompany Customer is in migration scope, but it will be use Data Collection Template to collect the informationKNA1-VBUND <>"" or KNA1-KONZS
7or the customer in the partner function is active and in migration scope, then the parent customer will also be migrated based on rule 2. * added on 16/Oct/2025

Select KNVP-KUNNR INNER

JOIN KNA1 as a WHERE KNVP-KUNNR = a.kunnr and a.loevm = X and KNVP-VKORG in 'Sales Org in scope'

inner join kna1 as b where knvp-kunn2 = b.kunnr and b.loevm  = '' and kunn2 in rule 2

8or the customer is active in Salesforce and there are activities within 48 months.

Two reports will be provided.


iCare - If (there is value in field 'PRS Code (Account)' or 'RCS code (Account)') and 'Last Activity' is within 48 months and Type <> "Inactive Customer". then the account is in scope. 'PRS Code (Account)' is mapped to PF2 customer number, 'RCS code (Account)' is mapped to WP2 customer number.


Core CRM - If (there is value in field 'PRS ID / RCS ID') and 'Last Activity' is within 48 months and 'Account Organization' = 'SCO' and 'Status'<>"Rejected", then the account is in scope. 'PRS ID / RCS ID' need to split using "/" to get the PRS/RCS code and 'GBU'  in (Novecare, Technology Solutions). 

9or there is an existing forecast for the customer in Kinaxis.
  • This will be parked for now
10

or there is relevant Pricing Condition records maintained for the customer 4 years ago.

a. The relevant condition table will be provided, which includes the customer field

b. The price valid-from date is >= current date - 4 years 

c. Based on the selection criteria mentioned in a&b to select the condition header index table (KONH), then use it to match the customer number. If there is match, then the customer is taken into consideration.

Select  KNA1-KUNNR from KONH where KONH-KOTABNR IN (List to be provided) and KONH-DATAB >= current date - 4 years  and  KONH-VAKEY CS KNA1-KUNNR

The data from legacy system excludes:

  1. One time customer (Account group is Z004 or ZCPD)
1

One time customer (Account group is Z004)

KNA1-KTOKD = Z004 or ZCPD


List of source systems and approximate number of records 

SourceScopeSource Approx. No. of recordsTarget SystemTarget Approx. No. of records
PF2Customer Master Data General Information55371S44200
WP2Customer Master Data General Information36983S424000

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.

TableFieldData ElementField DescriptionData TypeLengthRequirement
MARAMATNRMATNRMaterial NumberCHAR18Mandatory






















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.

IDCriticalityError Message/Report DescriptionRuleOutputSource System


No legacy cleansingRelevancy





















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 DescriptionTeam Responsible
1Refresh 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 ScreenParameter NameSelection TypeRequirementValue 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 NameField DescriptionRule












Extraction Dependencies

List the steps that need to occur before extraction can commence

Item #Step DescriptionTeam Responsible
1Ensure Syniti has the necessary connection and access to legacy serversData
2Ensure that the necessary cleansing activities in legacy sources are completeData / Business
3Ensure that create, change and deletion of master data is freeze in legacy Production systemLegacy 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 DescriptionTeam Responsible
1KNA1 relevancy execution in SynitiData
2KNB1 relevancy execution in SynitiData
3BP relevancy execution in SynitiData
4Business partner FI Customer execution in SynitiData


Transformation Rules

Rule #Source systemSource TableSource FieldSource DescriptionTarget SystemTarget TableTarget FieldTarget Description
1PF2/PI2/WP2KNB1KUNNRCustomer Account NumberS/4HANABP000PARTNERBusiness Partner Number
2PF2/PI2/WP2KNB1BUKRSCompany CodeS/4HANABP001BUKRSCompany Code
3PF2/PI2/WP2KNB1AKONTReconciliation AccountS/4HANABP001AKONTReconciliation Account
4PF2/PI2/WP2KNB1ZTERMPayment TermsS/4HANABP001ZTERMPayment Terms
5PF2/PI2/WP2KNB1ZWELSPayment MethodsS/4HANABP001ZWELSPayment Methods
6PF2/PI2/WP2KNB1VZSKZPayment BlockS/4HANABP001VZSKZPayment Block Indicator
7PF2/PI2/WP2KNB1XPOREIndividual PaymentS/4HANABP001XPOREIndividual Payment Indicator
8PF2/PI2/WP2KNB1ZUAWASort KeyS/4HANABP001ZUAWASort Key
9PF2/PI2/WP2KNB1DTAWSInstruction KeyS/4HANABP001DTAWSInstruction 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 DescriptionTeam 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

TaskAction

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

TaskAction

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

TaskAction

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

TaskAction

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 TypeError DescriptionAction 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

TaskAction

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

TaskAction

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

TaskAction

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

TaskAction

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

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