Status

OwnerRAYUDU-ext, Narasimha Kumar 
StakeholdersThe business stakeholders involved in making, reviewing, and endorsing this decision. Type @ to mention people by name

Purpose

The purpose of this conversion is to migrate and create Extended Warehouse Management (EWM) Product Master data in the S/4HANA EWM environment.

The EWM Product Master is an extension of the Material Master, providing warehouse-specific attributes that enable and control warehouse functionality and processes such as putaway, stock removal, replenishment, and physical inventory.

This conversion ensures that each product (material) within the warehouse has a corresponding EWM product master record, containing all relevant attributes aligned with the warehouse organization structure.


Conversion Scope

The scope of this conversion includes the creation of EWM Product Master data in S/4HANA, derived from existing Material Master and WM-related configuration and data in the legacy ECC system.

Because legacy EWM Product Master data does not exist, the conversion is not a one-to-one migration but rather a data derivation and enrichment process. The data will be constructed based on material master attributes and warehouse-specific logic defined during EWM design.

In Scope

  • Creation of EWM Product Master records for all materials that are in scope for warehouse operations in S/4HANA.

  • Population of key EWM product attributes including:

    • Warehouse Number

    • Putaway and Stock Removal Control Indicators

    • Storage Type Indicators

    • Handling Unit Type Assignments (where relevant)

    • Consolidation Group and Availability Group

    • Packaging Data and Unit of Measure Information

    • Product Grouping for Replenishment or Slotting (if applicable)

  • Alignment of EWM Product Master data with S/4HANA Material Master and EWM design configurations.

  • Upload of EWM Product Master data via standard EWM transaction /SCWM/MIG_PRODUCT or approved migration cockpit object.

Out of Scope

  • Non-warehouse relevant materials.

  • Any historical WM data or warehouse task information.

  • Changes to core Material Master data (MARA/MARC) — this will be maintained separately under the Material Master conversion.


Additional Information

Multi-language Requirement

N/A

Document Management

N/A

Legal Requirement

N/A

Special Requirements

N/A




Target Design

The technical design of the target for this conversion approach.

IndexTechnical Table-FieldField LabelDescriptionField FormatAllowed Values / ReferenceConditional LogicMulti-language Field RequirementsComments / Special Handling NotesRequirement (R/O/C/S/NU)
1/SAPAPO/MATLWH-MATIDProduct IDProduct identifier within EWMCHAR(22)NoneNoneNoneDerived from MARA-MATNRR
2/SAPAPO/MATLWH-ENTITLED_IDParty Entitled to DisposeParty responsible for stock ownershipRAW(16)NoneNoneNoneLinked to business partner dataR
3/SAPAPO/MATLWH-SCUGUIDSupply Chain UnitSupply chain unit relevant to warehouseRAW(16)NoneNoneNoneRepresents warehouse numberR
4/SAPAPO/MATLWH-PTDETINDProcess Type Determination IndicatorControls process type determination for productCHAR(2)/SCWM/TPTDETIND-PTDETINDNoneNoneDrives task creation behaviorC
5/SAPAPO/MATLWH-CCINDCycle Counting IndicatorDefines product classification for inventory countingCHAR(1)MARC-ABCINNoneNoneMaps ABC indicator to EWMC
6/SAPAPO/MATLWH-PUT_STRAPutaway Control IndicatorControls product putaway strategyCHAR(4)/SCWM/T305Q-PUT_STRANoneNoneRequired for inbound processingR
7/SAPAPO/MATLWH-LGBKZStorage Section IndicatorDefines section search strategyCHAR(4)/SCWM/T304-LGBKZNoneNoneUsed for bin search logicC
8/SAPAPO/MATLWH-LPTYPStorage Bin TypeDefines type/classification of storage binCHAR(4)/SCWM/T303-LPTYPNoneNoneImpacts putaway and removal rulesC
9/SAPAPO/MATLWH-BLOCKBulk Storage IndicatorControls bulk storage putawayCHAR(2)/SCWM/T338-BLOCKNoneNoneUsed for bulk materialsC
10/SAPAPO/MATLWH-REM_STRAStock Removal ControlControls stock removal strategyCHAR(4)/SCWM/T305R-REM_STRANoneNoneRequired for picking logicR
11/SAPAPO/MATLWH-STCKDETGRStock Determination GroupDetermines stock group for pickingCHAR(2)/SCWM/V_STCKDTGR-STCKDETGRNoneNoneUsed for batch-managed materialsC
12/SAPAPO/MATLWH-DRDETGRStaging Area Determination GroupDefines staging area determinationCHAR(4)/SCWM/TDRDETGR-DRDETGRNoneNoneUsed for outbound stagingC
13/SAPAPO/MATLWHST-LGTYTPStorage TypeStorage space within warehouseCHAR(4)/SCWM/T331-LGTYPNoneNoneLevel-specific configurationC
14/SAPAPO/MATLWHST-SECTINDSection IndicatorSection indicator at storage type levelCHAR(4)/SCWM/T304-LGBKZNoneNoneUsed for fine-tuning putawayC
15/SAPAPO/MATLWHST-BINTYPEBin TypeBin type assignment for productCHAR(4)/SCWM/T303-LPTYPNoneNoneImpacts replenishment logicC
16/SAPAPO/MATLWHST-REPQTY_DSPMinimum Replenishment QtyMinimum quantity for replenishment triggerQUAN(15)NoneNoneNoneMaintained based on planning dataC
17/SAPAPO/MATLWHST-REPQTY_UOM_DSPDisplay UoM for Replenishment QtyUnit of measure for replenishment quantityUNIT(3)MEINSNoneNoneUoM from material masterC
18/SAPAPO/MATLWHST-MINQTY_DSPMinimum QtyMinimum stock level in storage typeQUAN(15)NoneNoneNoneUsed for replenishment logicC
19/SAPAPO/MATLWHST-MINQTY_UOM_DSPDisplay UoM for Minimum QtyUoM for minimum stockUNIT(3)MEINSNoneNoneDerived from base UoMC
20/SAPAPO/MATLWHST-MAXQTY_DSPMaximum QtyMaximum allowed stock in storage typeQUAN(15)NoneNoneNoneUsed for replenishment ceilingC
21/SAPAPO/MATLWHST-MAXQTY_UOM_DSPDisplay UoM for Maximum QtyUoM for maximum stockUNIT(3)MEINSNoneNoneDerived from base UoMC
22/SAPAPO/MATLWHST-QUANCLAQuantity ClassificationClassification for stock quantityCHAR(1)/SCWM/TQUANCLA-QUANCLANoneNoneUsed for volume optimizationC
23/SAPAPO/MATLWHST-QUANCLAPUTQuantity Classification (Putaway)Classification for putaway quantityCHAR(1)/SCWM/TQUANCLA-QUANCLANoneNoneImpacts putaway bin searchC


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.

IDCriticalityError Message/Report DescriptionRuleOutputSource System


























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 DescriptionTeam Responsible













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 ScreenParameter NameSelection TypeRequirementValue 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 NameField DescriptionRule












Extraction Dependencies

List the steps that need to occur before extraction can commence

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 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 DescriptionTeam Responsible













Transformation Rules

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









































Transformation Mapping

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

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

Completeness

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Accuracy

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Business

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

Completeness

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Accuracy

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





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

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






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

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 TypeError DescriptionAction Taken










Post-Load Validation

Project Team

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

Completeness

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Accuracy

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Business

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

Completeness

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





Accuracy

TaskAction
titlespecific details of what and how the task needs to be performed e.g. which reports are being used etc.





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.


See also

Insert links and references to other documents which are relevant when trying to understand this decision and its implications. Other decisions are often impacted, so it's good to list them here with links. Attachments are also possible but dangerous as they are static documents and not updated by their authors.

Change log

Workflow history