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 Profit Centre Group (Alt, Std Hierarchy)s into S/4 HANA.  

The document details out the field list, extraction criteria, scoping, mapping of cost centre object

Cost Centres will be extracted from Source and based on the list of cost centres from the cost centre mapping sheet, target cost centre data file will be 

Conversion Scope

Profit Centre Group (Alt, Std Hierarchy)s which will be listed as part of scope list with new numbering will be in scope of migration. 

List of source systems and approximate number of records 

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
PF2	Profit Centre Group (Alt, Std Hierarchy)	6,423	S4HANA
WP2	Profit Centre Group (Alt, Std Hierarchy)	5,768	S4HANA

Additional Information

Multi-language Requirement

In the Syensqo Profit Centre Group (Alt, Std Hierarchy)s, the following four language keys must be maintained:
 - English (EN)
 - French (FR)
 - Italian (IT)
 - Chinese (ZN)
Note: For certain countries it may be required to also maintain account descriptions for certain Profit Centre Group (Alt, Std Hierarchy)s in local language as per regulatory requirement (e.g. Japanese) in the respective country. Such requests must be backed by supporting evidence of the underlying regulatory requirement.
Such data will be collected as part of DCT for the translation texts for Profit Centre Group (Alt, Std Hierarchy)s.

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 Label	Data Type	Length	Requirement	Syensqo Requirement R = Required : Mandatory field. O = Optional: Not mandatory. If a value is entered it doesn't impact Business Process. C = Conditional: Not mandatory. If a value is entered it impacts Business Process or Reporting. S = System: System generates the value. NU = Not Used
CEPC	PRCTR	PRCTR	Profit Center	CHAR	10	Organizational unit in controlling used for internal reporting and responsibility accounting. The Profit center represents in syensqo context either a Plant or a GBS 'non Plant'. The Syensqo PC codification must follow the naming convention.  "1 + 4 ""  Digit #1  = GBU Indicator S=SPEC. POLYMERS or C=COMPOSITE MATERIALS or  N=NOVECARE or  T=TECHNOLOGY SOLUTIONS or  B=CBS From digit 2 to 5  :  4 char. Company Code OR Plant Code.   Illustration : S1001	R

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	Lock any Profit Centre Group (Alt, Std Hierarchy) not being used for last 5 years	TBD	Report	PF2 / WP2

Note: Cleansing mau not be necessary as the ex

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 CEPC and CEPCT are extracted in tool according to the agreed cut-off date in the project plan Ensure DCT is collected for the Profit Centre Group (Alt, Std Hierarchy)s based on the collection template	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
CEPC-PRCTR	Profit Centre Group (Alt, Std Hierarchy)	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	DCT/ECC	CEPC	PRCTR	Profit Center	S/4HANA	CEPC	PRCTR	Profit Center	Copy From DCT as-is
2	DCT/ECC	CEPC	DATBI	Valid To Date	S/4HANA	CEPC	DATBI	Valid To Date	Copy From DCT as-is

Transformation Mapping

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

Mapping Table Name	Mapping Table Description
Profit Centre Group (Alt, Std Hierarchy)	Mapping of legacy Profit Center to target system value
Person Responsible	Mapping of legacy Person Responsible to New Person Responsible
User ID	Mapping of legacy User ID
Hierarchy Group	Mapping of Legacy Hierarchy Group to Hierarchy Group

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
2	Ensure Profit Centre Group (Alt, Std Hierarchy) hierarchies are loaded into target S/4HANA	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. Profit Centre Group (Alt, Std Hierarchy)s are mapped to new values Profit Centre Group (Alt, Std Hierarchy) Hierarchy Mapped to new values Person Responsible / HR positions mapped to new values Company Code is mapped based on Company Code Mapping
Record Count	Record Count Confirm the record counts in preload summary report Total Records: To be Filled in Summary Report Valid Records: To be Filled in Summary Report Invalid Records: To be Filled in Summary Report

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	Confirm the Preload File contains all the records in scope of migration based on the DCT (Data Construction Template)

Accuracy

Task	Action
Conversion accuracy	Verify Profit Centre Group (Alt, Std Hierarchy)s 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 ECC tcode SE16N to display table CEPC to confirm copied fields are accurately copied. ( If applicable)

Load

The load process includes:

1. Execute the automated data load into target system using load tool or produce the load file if the loading of records to be done using LTMC cockpit object of Profit Centre Group (Alt, Std Hierarchy). 
2. Once the data is loaded to the target system, it will be extracted and prepared for Post Load Data Validation with side by side check of each fields in scope of the objects with fields to be displayed as XXXX_ECC, XXXX_S4HANA, XXXX_MATCH ( As TRUE or FALSE) with an additional column denoting fields not matching and status of loading in S/4HANA as LOADED_IN_S4HANA ( As TRUE or FALSE) 

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 upload of Profit Centre Group (Alt, Std Hierarchy) Object using Migration Cockpit Object for Profit Centre Group (Alt, Std Hierarchy) 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.	Controlling Area

 Conversion Objects

Object #	Preceding Object Conversion Approach
N/A

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

Post-Load Validation

Project Team

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

Completeness

Task	Action
Reconciliation of Record Count	Check Record count between DCT, Preload file and target extracted data from tables SETHEADER, SETNODE, SETLEAF. A Summary report to be added in the post-load report

Accuracy

Task	Action
Check values in key fields for accuracy	Refer to the post-load file and Manual check of the Loaded data using KCH3 and SE16N

Business

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

Completeness

Task	Action
Record Count Check	Business to check Post-Load File and Summary report in post-load

Accuracy

Task	Action
Spot check	Spot check some sample records from the post-load report to be picked for checking in SAP transaction code KCH3 to verify accuracy of the data.

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