Status
Owner	Soumen Laru
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 of GL Open Items into S/4 HANA.

GL Open Items are extracted from source as of cut-over date which then is used to prepared open items for migration

Conversion Scope

Only the accounts which are open item managed both in source and target will be part of migration of GL Open items.

List of source systems and approximate number of records 

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
PF2	Cost Centre		S4HANA
WP2	Cost Centre		S4HANA
PI2	Cost Centre		S4HANA

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 (Decimals)	Requirement
CSKS	KOSTL		Cost Centre	CHAR	4

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
1.	Can load, but business process will fail	Open Item is overdue and aged	TBD	Report	PF2 / PI2 / WP2

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
1.	Ensure source tables BKPF, BSIS are extracted in tool according to the agreed cut-off date in the project plan	Data team
2.	Perform preliminary completeness check documented in section 5.2.8.1.1	Data team
3.	Raise issues as defects if Req # 1 to 2 are not met	Data team
4.	Repeat Req # 1 to 3 if required	Data team
5.	Report extraction result to person in charge of APOI conversion	Data team

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
BSEG-LZBKZ	SCB Indicator	Business to enter content as per data type and length permitted
BKPF- XREF1_HD	Reference field 1 (header)	Business to enter content as per data type and length permitted
BKPF- XREF2_HD	Reference field 2 (header)	Business to enter content as per data type and length permitted
BSIK – KIDNO	Payment reference	Business to enter content as per data type and length permitted

Suggestion to add:

Decimal validation - Check table TCURX for the document currency key and if Decimals (TCURX-CURRDEC) is ‘0’, validate that no decimal value is populated.

Extraction Dependencies

List the steps that need to occur before extraction can commence

Item #	Step description	Team responsible
1.	Any period / year end close activities have been fully completed	Business
2.	Reconciliation for intercompany payables have been completed, and adjustment made in legacy SAP system	Business
3.	Reconciliation of migrated Purchase Order is completed before the extraction of Accounts Payable Open Items	Business and Data

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.	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 Trial Balance object PY.	Data team
3.	Go to Process Area Launch and Process the Object - Trial Balance object - R4 Trial Balance PY.	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

Transformation Rules

Rule #	Source system	Source Table	Source Field	Source description	Target system	Target Table	Target Field	Target description	Transformation logic
1.	N/A	N/A	N/A	N/A	S/4HANA	BKPF	BELNR	Document Number	Automatic determination of the Document number in target system. Document Date from source system is migrated into field SGTXT – see transformation rule for Line Item text field below.
2.	Legacy	BKPF	BUKRS	Company Code	S/4HANA	BKPF	BUKRS	Company Code	Map from source to target using company code mapping table
4.	Legacy	BSIK	HKONT	GL Account	S/4HANA	ACDOCA	HKONT	GL Account	Map from source to target using G/L Account mapping table

Transformation Mapping

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

Mapping Table Name	Mapping Table Description
Company Code	Mapping of legacy company codes to target system value
GL Account	Mapping of legacy GL accounts to target system value
Profit Centre	Mapping of legacy Profit Center to target system value
Business Partner	Mapping of legacy vendor accounts to target system value
Trading Partner	Mapping of legacy trading partners to target system value
Currency Key	Mapping of legacy currency keys to target system value
Payment Block Key	Mapping of legacy payment block key to target system value

Transformation Dependencies

List the steps that need to occur before transformation can commence

Item #	Step Description	Team Responsible
1	Ensure all the fields that require value mapping, as stipulated. Mapping tables, have the correct values mapped and imported into tool.	Data team

Pre-Load Validation

Project Team

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

Completeness

Task	Action
Generation of Pre-load reports	Mandatory field check. GL Accounts, Company code mapped Posting key mapped Currency types mapped Profit Centres mapped Check Business Partners are extended to required company code Check if the GL Accounts extended to the company codes for the records by looking up SKB1.  Check signage of amount. Check whether source data (including DCT) has debit and credit entries in the same line. If sign is the same in all the three currency fields, then no action needed. If the sign in the document currency and company code currency field are different, then the document needs to be corrected in the source system or DCT. Ensure all transactions have values in Document Currency and Local Currency (i.e. no 0.00 allowed)
Reconciliation of total	Record Count Summary at GL Account and Company Code level.  Check Amount in Document Currency and Local Currency Check the sum of the amount in Document Currency and Local Currency in load file is the same as source. If any of the sum is different, flag the record as error.

Accuracy

Task	Action
Mandatory field mapping and transformation	Obtain 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

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

Completeness

Task

Action

Verify record count in Pre-load reports by region

In legacy system, execute report AP Line Item Display (t/code: FS10N ) with selection parameters stated in section 7.2.  Group the output of the report by Company Code, GL Account and Profit Centre using subtotal function and compare the count in this report against the TB Balance ( PY )  count in the pre-load file. The record count for TB Balance ( PY )  may also be done on the more granular level. The recommended granular level or the subtotal fields can consist of: Company Code, Vendor, Profit Centre, Document Currency Key, Company ID for Trading Partner. If any of the count is different, raise defect and flag the relevant record as error.

Accuracy

Task	Action
Conversion accuracy	Verify GL Open Lines are transformed accurately as per endorsed transformation/mapping rules. Review error reports in tool for any mismatch or missing transformed values. In legacy system, execute report FBL3N If any of the sum is different, raise defect and flag the relevant record as error.
Business partner balance on Company code and profit center level	Check the total open item amount on Business partner at Company Code and Profit center level, against the total in legacy by Document, Local and Group currency. Apply currency rules where applicable

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	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

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.	Company code-related configuration (posting period variant).
2.	Finance posting (document types, document number ranges, special gl indicator)
3.	Currencies (currency keys, decimal places in currencies)

 Conversion Objects

Object #	Preceding Object Conversion Approach
1067	GL Account Operational CoA (incl. secondary CE)
1073	Profit center

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
Posting Period Error	Posting period is blocked for posting	Review project / cutover plan and ensure posting periods can be opened for postings
Profit Centre does not exist	Profit centre does not exist in company code	Ensure the profit centre mapping is correct and or create the profit centre if it is valid

Post-Load Validation

Project Team

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

Completeness

Task

Action

Reconciliation of Record Count

Total number of records loaded for TB Balance ( PY )  will be generated in the Post-load reports in tool based on the target table and fields mentioned in section 3. The reconciliation needs to be executed on the total number of ‘valid’ records and currency amount per company code in the source compared to total number of records and currency amount in S/4HANA Record Count Check the sum of record count of the open items in the load file is the same as S/4HANA. The record count for TB Balance ( PY )  will be done on the group basis. The fields in the group are consist of: Company Code, Vendor Account Check Amount in Document Currency and Local Currency Check on line item level that the sum of the amount in Document Currency and Local Currency in the load file is the same as posted in S/4HANA. If any of the sum is different, flag the record as error.

Accuracy

Task

Action

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. Leverage on tool to create a Post Load report that reports S/4HANA loaded records along with the legacy values side-by-side to allow for 100% check of all these fields in the shortest possible time. Any mismatch will be reported under the Post Load - Error report.

Business

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

Completeness

Task	Action
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 may also run transaction code FS10N – Vendor Line Item Display or equivalent report in Fiori App to display loaded TB Balance ( PY )  in S/4HANA and compare results against the pre-load reports generated from tool.

Accuracy

Task	Action
Open items totals	Check business partner open item totals by Business partner, Company code, profit centre. Totals should be checked in Document, Local and Group currency.
Spot check	Business should choose some business partners and perform comprehensive check of open items, payment terms etc Such partners should have huge number of open items or be critical for payment runs in S4 or have certain complexity in conversion.

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.

Change log

Workflow history