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OwnerPrasad Naidu
Stakeholders

Purpose

The purpose of this document is to define the approach, scope, and rules for the conversion of Bank Master Data from legacy systems into SAP S/4HANA. The Bank Master includes information about House Banks and Bank Directory (External Banks) required for processing payment transactions such as vendor payments, customer refunds, and bank reconciliations.

This conversion ensures that all bank-related master data is available and consistent in the S/4HANA system to support business-critical financial operations post go-live. The data migration encompasses both:·        External external Banks (from tables like BNKA): Used for storing details of banks globally (e.g., SWIFT, bank address, bank key).

·        House Banks: Internal company banks used for executing payments and receiving cash (e.g., bank account number, account ID, GL account linkage).

The migration process includes the cleansing, transformation, mapping, and loading of this data in alignment with SAP's Business Partner and Financial Supply Chain Management framework, while adhering to data quality and audit requirements.

Conversion Scope

The scope of this conversion covers the migration of all relevant Bank Master Data from the legacy SAP ECC system to the SAP S/4HANA system. This includes both External Bank Directory data and House Bank configurations, ensuring continuity in banking operations such as payments, collections, and bank reconciliations.

In Syensqo, the bank master data will be loaded and post go-live, the bank master data will be maintained by loading delta changes on a monthly basis.

Conversion Scope

 Bank master Data will be migrated from PI2 client to S4 


Relevancy Criteria:

1) All Bank keys in BNKA table are in scope from PI2

2) If there are any duplicate keys in source systems 

    a) Read all the records from table BNKA 

    b) Eliminate Duplicates - Select max( BANKS, BANKL) , All the other fields from the step b by grouping on the fields BANKS, BANKL

3) Business is responsible for Data cleansing.

The data from legacy system includes:

  1. Bank Key
  2. Bank Country
  3. Bank Name
  4. Bank Address
  5. SWIFT/BIC Code
  6. Bank Number / Routing Code

The data from legacy system excludes:

  • Bank configuration for treasury or cash management tools not in active use
  • Bank Communication Management (BCM) configurations unless separately scoped


    List of source systems and approximate number of records
    SourceScope

    Source Approx No. of Records

    Target SystemTarget Approx

    No. of Records

    PF2
    PI2Bank Master
    WP2
    ~374000
    Bank Master
    S4
    PI2
    ~374000
    Bank Master

    Additional Information

    Multi-language Requirement

    Document Management

    Legal Requirement

    Special Requirements




    Target Design

    The technical design of the target for this conversion approach.

    BNKA
    TableFieldData ElementField DescriptionData TypeLengthRequirement
    BNKA
    MANDTMANDTClientCLNT3Mandatory
    BANKSBANKSBank Country/Region KeyCHAR3Mandatory
    BNKA
    BANKK
    BANKLBANKKBank KeysCHAR15
    OptionalBNKAERDAT_BFERDAT_BFRecord Created OnDATS8MandatoryBNKAERNAM_BFERNAM_BFName of person who created the objectCHAR12
    Mandatory
    BNKABANKABANKAName of Financial InstitutionCHAR60
    Optional
    Mandatory
    BNKA
    REGIO
    PROVZREGIORegion (State, Province, County)CHAR3Optional
    BNKASTRAS
    _GP
    STRAS_GPStreet and House NumberCHAR35Optional
    BNKAORT01
    _GP
    ORT01_GPCityCHAR35Optional
    BNKASWIFTSWIFTSWIFT-BIC for International PaymentsCHAR11Optional
    BNKABGRUPBGRUPBank Group (bank network)CHAR2Optional
    BNKAXPGROXPGROPost Office Bank Current Account FlagCHAR1Optional
    BNKALOEVMLOEVMDeletion IndicatorCHAR1Optional
    BNKA
    BANKL
    BNKLZBANKLBank
    Keys
    NumberCHAR15
    OptionalBNKAAD_ADDRNUM
    Mandatory
    BNKA
    PSKTO_CHPSKTO_CHPost office bank current account numberCHAR16Optional
    ADRNR
    AD_ADDRNUMAddress NumberCHAR10Optional
    BNKABRNCHBRNCHBank BranchCHAR40Optional
    BNKA
    CHECKMETH
    CHKMECHECKMETHCheck Digit Calculation MethodCHAR4Optional
    BNKAVERS
    _BF
    VERS_BFFormat of File with Bank DataCHAR3
    OptionalBNKABNKA_SEPABNKA_SEPASEPA-relevant Local Bank NameCHAR60OptionalBNKAIBAN_RULEIBAN_RULEIBAN RuleCHAROptionalBNKASDD_B2BSDD_B2BSupport of SEPA B2B Direct DebitCHAR1OptionalBNKASDD_COR1SDD_COR1Support of SEPA COR1 Direct DebitCHAR1OptionalBNKASDD_RTRANSSDD_RTRANSSupport of SEPA Returned Debits (R Transactions)CHAR1OptionalBNKABNKAAPPBNKAAPPBank Application – Unique key for application-specific bank attributesCHAR
    Optional
    BNKA
    PRQ_
    BICKYPRQ_BICKYKey of a BIC+ data record (Swift)CHAR12Optional
    BNKA
    PRQ_RCCPRQ_RCCRouting Control CodeCHAR15Optional


    Data Cleansing

    NA

    Data Cleansing

    ID

    Criticality

    Error Message/Report Description

    Rule

    Output

    Source System

    1

    High

    Bank key not unique within country

    BANKS + BANKL must be unique

    Flag as duplicate; reject or merge records

    PF2,WP2,PI2

    2

    High

    Missing or invalid SWIFT/BIC code

    SWIFT field must be 8 or 11 alphanumeric characters

    Flag and request update from valid bank directory

    PF2,WP2,PI2

    3

    Medium

    Bank name contains special characters or inconsistent casing

    BANKA field should follow naming conventions and avoid special characters

    Normalize or correct bank name formatting

    PF2,WP2,PI2

    4

    High

    Obsolete bank record not linked to any business partner

    Check if BANKL is not referenced in any related table (e.g., LFBK, KNBK)

    Mark for archival or deletion after verification

    PF2,WP2,PI2

    7

    High

    Duplicate bank key entries detected

    BANKL must be unique per BANKS; fuzzy match for duplicates

    Flag duplicates; consolidate or clean up

    PF2,WP2,PI2

    10

    High

    Bank key format invalid per country-specific rules

    BANKL format must match country-specific structure rules (e.g., DE = 8 digits)

    Flag and correct according to rulebook or SAP note

    PF2,WP2,PI2

    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:

    1. The data exists. connects to the source and loads the data into . There are 3 methods: The data is manually collected by the business directly in
      1. Perform full data extraction from relevant tables in the source system(s).
      2. Perform extraction through the application layer.
      3. 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).
      1. .
      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 DescriptionTeam Responsible

    NA










    Selection Screen

    Selection Ref ScreenParameter NameSelection TypeRequirementValue 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 NameField DescriptionRuleBNKA-BANKSBank Country/Region KeyThe country in which the bank is located.
    ISO Country code
    e.g. AE for United Arab EmiratesBANKA-BANKKBank KeysA Bank Key in SAP uniquely identifies a particular Bank in particular country.
    Bank Keys are created automatically in SAP using the following logic:
    If Bank Number is available, then Bank Number is equal to Bank Key.
    If Bank Number is unavailable, then SWIFT/BIC code is equal to Bank Key.
    Different length by country, for AE is 3 digits length
    e.g. for AE is 027 - SAP provides a guidance listBNKA-BANKLBank NumberA Bank Number is a SAP terminology for identifying Bank Code, Sort Code, BSB Number
     etc.
    Different length by country, for AE is 3 digits length
    e.g. for AE is 027 - SAP provides a guidance listBNKA-ERNAM_BFName of person who created the objectThe user who created it - OptionalBNKA-BANKAName of Financial InstitutionName of the Bank - Optional
    e.g. FIRST ABU DHABI BANK PJSCBNKA-REGIORegion (State, Province, County)Bank Region - OptionalBNKA-STRAS_GPStreet and House NumberBank address - OptionalBNKA-ORT01_GPCityCity - OptionalBNKA-SWIFTSWIFT/BIC for International Payments8 digits to max 11 digits- OptionalBNKA-BGRUPBank group (bank network)Bank group (bank network)- OptionalBNKA-XPGROPost Office Bank Current AccountPost Office Bank Current Account- Optional

    No DCT for this object


    Extraction Dependencies

    Item #Step DescriptionTeam Responsible

    NA










    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:

    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
    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

    description

    Team responsible

    1.      

    Ensure all the fields that require value mapping, as stipulated  Mapping tables, have the latest signed-off mapping files imported into toolMigrate.

    Data team

    2.      

    In tool, select the Object Bank Master

    Data team

    3.      

    Go to Process Area Launch and Process the Object - Bank Master

    Data team

    4.      

    Launch the Objects to execute transformation.

    Data team

    5.      

    Monitor the transformation progress and ensure performance and completion is within allowed timeframe

    Data team

    6.      

    Generate Pre-Load reports .

    Data team

    7.      

    Generate data load count.

    Data team

    8.      

    Log errors as defects, if any and address resolutions. Close defects.

    Data team

    9.      

    Re-transform and re-validate the Pre-load reports if necessary.

    Data team

    10.   

    Validate the transformed file as part of pre-load validation, raise data defects or provide the pre-load sign-off.

    Business

    11.   

    Analyse and resolve any pre-load defects logged by business.

    Data team

    12.   

    Repeat steps 6 to 11 if necessary

    Data team

    13.   

    Proceed to pre-load validations

    Data team

    Team Responsible


    Transformation Rules


    Rule#Source
    System
    Source
    Table
    Source FieldSource DescriptionTarget SystemTarget TableTarget FieldTarget DescriptionTransformation Logic
    1
    ECCBNKAMANDTClientS/4 HANABNKAMANDTClientCopy as-is2
    ECCBNKABANKSBank Country/Region KeyS/4 HANABNKABANKSBank Country/Region KeyCopy as-is from ECC
    3
    2ECCBNKA
    BANKK
    BANKLBank KeysS/4 HANABNKA
    BANKK
    BANKLBank KeysCopy as-is
    45ECCBNKAERNAM_BFName of person who created the objectS/4 HANABNKAERNAM_BFName of person who created the objectCopy as-is6
    from ECC
    BNKAERDAT_BFRecord Created OnS/4 HANABNKAERDAT_BFRecord Created OnCopy as-is
    3
    ECCBNKABANKAName of Financial InstitutionS/4 HANABNKABANKAName of Financial InstitutionCopy as-is from ECC
    7
    4ECCBNKA
    REGIO
    PROVZRegion (State, Province, County)S/4 HANABNKA
    REGIO
    PROVZRegion (State, Province, County)Copy as-is from ECC
    8
    5ECCBNKASTRAS
    _GP
    Street and House NumberS/4 HANABNKASTRAS
    _GP
    Street and House NumberCopy as-is from ECC
    9
    6ECCBNKAORT01
    _GP
    CityS/4 HANABNKAORT01
    _GP
    CityCopy as-is from ECC
    10
    7ECCBNKASWIFTSWIFT-BIC for International PaymentsS/4 HANABNKASWIFTSWIFT-BIC for International PaymentsCopy as-is from ECC
    11
    8ECCBNKABGRUPBank Group (bank network)S/4 HANABNKABGRUPBank Group (bank network)Copy as-is from ECC
    12
    9ECCBNKAXPGROPost Office Bank Current Account FlagS/4 HANABNKAXPGROPost Office Bank Current Account FlagCopy as-is from ECC
    13
    10ECCBNKALOEVMDeletion IndicatorS/4 HANABNKALOEVMDeletion IndicatorCopy as-is from ECC
    14
    11ECCBNKA
    BANKL
    BNKLZBank
    Keys
    NumberS/4 HANABNKA
    BANKL
    BNKLZBank KeysCopy as-is
    15ECCBNKAPSKTO_CHPost office bank current account numberS/4 HANABNKAPSKTO_CHPost office bank current account numberCopy as-is16
    from ECC
    12ECCBNKA
    AD_ADDRNUM
    ADRNRAddress NumberS/4 HANABNKA
    AD_ADDRNUM
    ADRNRAddress NumberCopy as-is from ECC
    17
    13ECCBNKABRNCHBank BranchS/4 HANABNKABRNCHBank BranchCopy as-is from ECC
    18
    14ECCBNKA
    CHECKMETH
    CHKMECheck Digit Calculation MethodS/4 HANABNKA
    CHECKMETH
    CHKMECheck Digit Calculation MethodCopy as-is from ECC
    19
    15ECCBNKAVERS
    _BF
    Format of File with Bank DataS/4 HANABNKAVERS
    _BF
    Format of File with Bank DataCopy as-is
    20ECCBNKABNKA_SEPASEPA-relevant Local Bank NameS/4 HANABNKABNKA_SEPASEPA-relevant Local Bank NameCopy as-is21ECCBNKAIBAN_RULEIBAN RuleS/4 HANABNKAIBAN_RULEIBAN RuleCopy as-is22ECCBNKASDD_B2BSupport of SEPA B2B Direct DebitS/4 HANABNKASDD_B2BSupport of SEPA B2B Direct DebitCopy as-is23ECCBNKASDD_COR1Support of SEPA COR1 Direct DebitS/4 HANABNKASDD_COR1Support of SEPA COR1 Direct DebitCopy as-is24ECCBNKASDD_RTRANSSupport of SEPA Returned Debits
    (R Transactions)S/4 HANABNKASDD_RTRANSSupport of SEPA Returned Debits (R Transactions)Copy as-is25ECCBNKABNKAAPPBank Application – Unique key for application-specific
     bank attributesS/4 HANABNKABNKAAPPBank Application – Unique key for application-specific
     bank attributesCopy as-is26
    from ECC
    16ECCBNKA
    PRQ_
    BICKYKey of a BIC+ data record (Swift)S/4 HANABNKA
    PRQ_
    BICKYKey of a BIC+ data record (Swift)Copy as-is
    27ECCBNKAPRQ_RCCRouting Control CodeS/4 HANABNKAPRQ_RCCRouting Control CodeCopy as-is
    from ECC


    Transformation Mapping

    Mapping Table NameMapping Table Description








    Transformation Dependencies

    List the steps that need to occur before transformation can commence
    Item #Step DescriptionTeam Responsible













    Pre-Load Validation

    Project Team

    Completeness

    TaskAction
    Generation of
    Pre-load reports

    Reconciliation of total

    Record Count

    Summary of Record Counts from Constructed dataset, Valid and Invalid record set.




    Accuracy

    TaskAction
    Mandatory field mapping and transformationObtain a list of the fields to be populated with values from mapping files and ensure all these fields contain S/4HANA values. 
    Review the data report to ensure mapping value is not missing in tool.
    Capture errors in the Data Error report.

    Business

    Completeness

    TaskAction
    Verify record count in Pre-load reports Ensure third party file SWIFTREF used for Bank master is up to date and it is the latest version file.





    Accuracy

    TaskAction





    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

    View file
    nameSource data for Bank.xml
    height250

    Load Run Sheet

    Item

    #

    Step

    Description

    description


    Team responsible

    1

    Ensure the load tools are transported into the correct tool instance.

    Data team

    2

    Ensure DCTs and all required mappings are submitted and complete

    Data team

    3

    Ensure Pre-load sign-offs are obtained.

    Data team

    4

    Execute tool Trial Balance Upload

    Data team

    5

    Generate the post load reports in tool.

    Data team

    6

    Log errors as defects, if any and address resolutions. Close defects.

    Data team

    7

    Resolve defects by reupload and re-generate post load reports if necessary.

    Data team

    8

    Business to validate the post load files as part of post-load validation, raise data defects or provide the post-load sign-off.

    Business

    9

    Repeat steps 5 to 7 if necessary.

    Data team

    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 TypeError DescriptionAction Taken










    Post-Load Validation

    Project Team

    Completeness

    TaskAction
    Reconciliation of Record CountConfirm all the  Bank Master records listed in the Construction file (DCT )/ from the third party SWIFTREF file are loaded





    Accuracy

    TaskAction
    Check values in key fields for accuracy

    Post-load reports will have the same structure as the load file and some additional columns as required to facilitate the post load validation.

    Any mismatch will be reported under the Post Load - Error report.

    Each Column will have Source field, target field and Matching Status. ( XXXX_ECC, XXXX_S4HANA, XXXX_MATCH). A loading status field to show the record is loaded in S/4HANA.  Also, a field to unmatched fields in the Post-Load file. 






    Business

    Completeness

    TaskAction
    Record Count Check

    Review the record count report from the Data Team and ensure it is correct by cross-checking with the record count confirmed during Pre-load Business Validations

    Business will check BNKA table using tcode SE16N. 





    Accuracy

    TaskAction
    Complete CheckPost-Load File contains matching status of each field. 
    Spot check



    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

    Change History
    limit10

    Workflow history

    Workflow Report
    parent@self
    hideheadertrue
    typeapprovals