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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.

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.


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.

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:

  1. Bank configuration for treasury or cash management tools not in active use
  2. 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.

TableFieldData ElementField DescriptionData TypeLengthRequirement
BNKABANKSBANKSBank Country/Region KeyCHAR3
Required
Mandatory
BNKABANKL
BANKL
BANKKBank
Key
KeysCHAR15
Required
Mandatory
BNKABANKABANKA
Bank
Name of Financial InstitutionCHAR60
Optional
Mandatory
BNKA
BANKN
PROVZ

BANKN

REGIORegion (State, Province, County)
Bank Account Number
CHAR
35
3Optional
BNKA
BANKL_OLD
STRAS
BANKL
STRAS_
OLDOld Bank Key
GPStreet and House NumberCHAR
15
35Optional
BNKA
BRNCH
ORT01

BRNCH

Branch Number
ORT01_GPCityCHAR
15
35Optional
BNKASWIFTSWIFTSWIFT
Code
-BIC for International PaymentsCHAR11Optional
BNKA
CITY
BGRUP
ORT01
BGRUPBank
City
Group (bank network)CHAR
35
2Optional
BNKA
STREET
XPGRO

STRAS

XPGROPost Office Bank Current Account Flag
Street
CHAR
60
1Optional
BNKA
COUNTRY
LOEVM
LAND1
LOEVM
Country
Deletion IndicatorCHAR
3
1Optional
BNKA
REGIO
BNKLZ

REGIO

BANKLBank Number
Region (State, Province, County)
CHAR
3
15
Optional
Mandatory
BNKA
BANKT
ADRNR

BANKT

Bank Type
AD_ADDRNUMAddress NumberCHAR
1
10Optional
BNKA
MCOD1
BRNCH
MCOD1
BRNCH
Search Term
Bank BranchCHAR
25
40Optional
BNKA
DATLZ
CHKME

DATLZ

Date of Last Change

DATS

8
CHECKMETHCheck Digit Calculation MethodCHAR4Optional
BNKA
TIMEZ
VERS
TIMEZ
VERS_BF

Time of Last Change

TIMS

6
Format of File with Bank DataCHAR3Optional
Data Cleansing
BNKA
ID
BICKY

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,PI11
PRQ_BICKYKey of a BIC+ data record (Swift)CHAR12Optional


Data Cleansing

NA

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 DescriptionRule

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
SystemSource
Table
Source FieldSource DescriptionTarget SystemTarget TableTarget FieldTarget DescriptionTransformation Logic
1ECCBNKABANKSBank Country/Region KeyS/4 HANABNKABANKSBank Country/Region KeyCopy as-is from ECC
2ECCBNKABANKLBank
Key
KeysS/4 HANABNKABANKLBank
Key
KeysCopy as-is from ECC
3ECCBNKABANKA
Bank
Name of Financial InstitutionS/4 HANABNKABANKA
Bank
Name of Financial InstitutionCopy as-is from ECC
4ECCBNKA
BANKN
PROVZRegion (State, Province, County)
Bank Account Number
S/4 HANABNKA
BANKNBank Account Number
PROVZRegion (State, Province, County)Copy as-is from ECC
5ECCBNKA
BANKL_OLDOld Bank Key
STRASStreet and House NumberS/4 HANABNKA
BANKL_OLD
STRASStreet and House Number
Old Bank Key
Copy as-is from ECC
6ECCBNKA
BRNCH
ORT01
Branch Number
CityS/4 HANABNKA
BRNCH
ORT01
Branch Number
CityCopy as-is from ECC
7ECCBNKASWIFTSWIFT
Code
-BIC for International PaymentsS/4 HANABNKASWIFTSWIFT
Code
-BIC for International PaymentsCopy as-is from ECC
8ECCBNKA
CITY
BGRUPBank
City
Group (bank network)S/4 HANABNKA
CITY
BGRUPBank
City
Group (bank network)Copy as-is from ECC
9ECCBNKA
STREET
XPGROPost Office Bank Current Account Flag
Street
S/4 HANABNKA
STREET
XPGROPost Office Bank Current Account Flag
Street
Copy as-is from ECC
10ECCBNKA
COUNTRY
LOEVM
Country
Deletion IndicatorS/4 HANABNKA
COUNTRY
LOEVM
Country
Deletion IndicatorCopy as-is from ECC
11ECCBNKA
REGIO
BNKLZBank Number
Region (State, Province, County)
S/4 HANABNKA
REGIO
BNKLZBank Keys
Region (State, Province, County)
Copy as-is from ECC
12ECCBNKAADRNRAddress NumberS/4 HANABNKA
BANKTBank Type
ADRNRAddress NumberCopy as-is from ECC
13ECCBNKABRNCHBank BranchS/4 HANABNKA
BANKT
BRNCHBank
Type
BranchCopy as-is from ECC
13
14ECCBNKA
MCOD1Search Term
CHKMECheck Digit Calculation MethodS/4 HANABNKA
MCOD1
CHKMECheck Digit Calculation Method
Search Term
Copy as-is from ECC
14
15ECCBNKA
DATLZ
VERS
Date of Last Change
Format of File with Bank DataS/4 HANABNKA
DATLZ
VERS
Date of Last Change
Format of File with Bank DataCopy as-is from ECC
15
16ECCBNKA
TIMEZ
BICKY
Time of Last Change
Key of a BIC+ data record (Swift)S/4 HANABNKA
TIMEZ
BICKY
Time of Last Change
Key of a BIC+ data record (Swift)Copy 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