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Status

  Approved

Owner
Stakeholders

Purpose

The purpose of this document is to define the conversion approach to create in S/4 HANA.


Conversion Scope

The scope of this document covers the approach for converting Project Budgets from Legacy Source Systems into Project and Item Budgets in S/4HANA.



The data from legacy system includes:

  1. Level 1 WBS element budgets for open Projects
  2. Level 1 WBS element budgets for closed Projects with postings in the agreed timeframe.

The data from legacy system excludes:


List of source systems and approximate number of records
SourceScope

Source Approx No. of Records

Target SystemTarget Approx

No. of Records

PF2Annual WBS Budget values for projects migrated through CNV-1022 PPM Items5000S/4 Hana4000
WP2Annual WBS Budget values for projects migrated through CNV-1022 PPM Items9000S/4 Hana6000
DCTAnnual WBS Budget values for projects which have no budget in Source (e.g. IT and R&I)







Additional Information

Multi-language Requirement

Not Applicable

Document Management

Not Applicable

Legal Requirement

Not Applicable

Special Requirements

Not Applicable




Target Design

The technical design of the target for this conversion approach.

TableFieldData ElementField DescriptionData TypeLengthRequirement
BPJALEDNRBP_LEDNRLedgerCHAR4System Generated
BPJAOBJNRBP_OBJEKTObject numberCHAR22Mandatory
BPJATRGKZBP_TRGKZObject indicatorCHAR1System Generated
BPJAWRTTPCO_WRTTPValue TypeCHAR2System Generated
BPJAGJAHRGJAHRFiscal YearNUMC4Mandatory
BPJAVERSNBP_VERSIONVersionCHAR3Mandatory
BPJAVORGABP_VORGANGBudget TypeCHAR4Mandatory
BPJATWAERTWAERTransaction CurrencyCUKY5Mandatory
BPJAWTJHRBP_WJTTransaction Currency Annual valueCURR21Mandatory
BPJAWLJHRBP_WJLLedger Value Currency Annual valueCURR21Mandatory
BPJAWTJHVBP_WJTVTransaction Currency Annual distributed valueCURR21System Generated
?BPJAWLJHVBP_WJLV

Ledger Value Currency Distributed annual value

CURR21System Generated
/RPM/FIN_PLANEXTERNAL_ID/RPM/TV_EXTIDIDCHAR24Mandatory
/RPM/FIN_PLANFIN_VIEW_ID/RPM/TV_FIN_VIEWFinancial View TypeNUM2Mandatory
/RPM/FIN_PLANFIN_VIEW_DESC/RPM/TV_FIN_VIEW_DESCFinancial View NameCHAR40Mandatory (This is used in upload)
/RPM/FIN_PLANCATEGORY_ID/RPM/TV_FIN_CATGFinancial CategoryCHAR15Mandatory
/RPM/FIN_PLANCATEGORY_TEXT/RPM/TV_FIN_CATG_TFinancial Category textCHAR80Mandatory (This is used in upload)
/RPM/FIN_PLANGROUP_ID/RPM/TV_FIN_GRPFinancial GroupCHAR15Mandatory
/RPM/FIN_PLANGROUP_TEXT/RPM/TV_FIN_GRP_TFinancial Group textCHAR80Mandatory
/RPM/FIN_PLANPERIOD/RPM/TV_START_DATEStart DateDATS8Mandatory
/RPM/FIN_PLANAMOUNT/RPM/TV_CURR_AMOUNTFinancial AmountNUM26Mandatory
/RPM/FIN_PLANCURRENCY/RPM/TV_CURRENCYCurrencyCHAR5Mandatory
/RPM/FIN_PLANPERIOD_TYPE/RPM/TV_PER_CONVFACTORPeriod Conversion FactorNUM2Mandatory


Data Cleansing

Cleansing is done on the master data objects to which the budgets relate, no additional budget cleansing is required.

IDCriticalityError Message/Report DescriptionRuleOutputSource System



Conversion Process

The high-level process is represented by the diagram below:


Data Privacy and Sensitivity

Is there privacy and sensitivity concerns for project budgets?

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













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
Item IDPPM item to which budget is to be assignedBudget will 









Extraction Dependencies

Item #Step DescriptionTeam Responsible













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 DescriptionTeam Responsible













Transformation Rules

Rule #Source systemSource TableSource FieldSource DescriptionTarget SystemTarget TableTarget FieldTarget DescriptionTransformation Logic









































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





Accuracy

TaskAction





Business

Completeness

TaskAction





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

Load Run Sheet

Item #Step DescriptionTeam 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





Accuracy

TaskAction





Business

Completeness

TaskAction





Accuracy

TaskAction





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

Version Published Changed By Comment
CURRENT (v. 3) Dec 08, 2025 14:08 KOHN-ext, Jacob
v. 18 Dec 08, 2025 14:05 KOHN-ext, Jacob
v. 17 Dec 08, 2025 14:02 KOHN-ext, Jacob
v. 16 Nov 20, 2025 09:40 KOHN-ext, Jacob
v. 15 Nov 19, 2025 14:18 KOHN-ext, Jacob
v. 14 Nov 19, 2025 14:13 KOHN-ext, Jacob
v. 13 Nov 19, 2025 13:08 KOHN-ext, Jacob
v. 12 Nov 19, 2025 08:01 KOHN-ext, Jacob
v. 11 Nov 17, 2025 16:00 KOHN-ext, Jacob
v. 10 Nov 17, 2025 13:59 KOHN-ext, Jacob

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