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Status

  Approved

Owner
Stakeholders

Purpose

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


Depending on how Revision is used in S4, what Revision Types are configured


Conversion Scope

The scope of this document covers the approach for converting active Revision from Legacy Source Systems into Maintenance Planning Bucket in S/4HANA.


The data from legacy system includes:

  1. All valid legacy Revision 

The data from legacy system excludes:

  1. Closed Revision
  2. Revision with Dates (Start? End?) in the past
  3. Any other criteria?


List of source systems and approximate number of records
SourceScope

Source Approx No. of Records

Target SystemTarget Approx

No. of Records

PF2, WP2Valid Revisions3000S/4HANA3000
DCTRevisions for plants which do not have data existing from PF2 and PF2nnnS/4HANAnnn










Additional Information

Multi-language Requirement

Revision does not have multi language support. Revision text will be migrated using EN logon.

Document Management

N/A

Legal Requirement

N/A

Special Requirements




Target Design

The technical design of the target for this conversion approach.

TableFieldData ElementField DescriptionData TypeLengthRequirement






















Data Cleansing

IDCriticalityError Message/Report DescriptionRuleOutputSource System
9003-001C1Invalid, Inactive or no Inactive or no Cost Centres linked to RevisionRevision as per Relevancy Criteria assigned with a Cost Centre which does not belong below:
1. Cost Centre (FI) as per Relevancy Criteria
All key fieldsPF2, WP2
9003-002C1Invalid, Inactive or no WBS linked to RevisionRevision as per Relevancy Criteria assigned with a WBS which does not belong below:
1. Work Breakdown Structure (PS) as per Relevancy Criteria
All key fieldsPF2, WP2
9003-003C1Invalid, Inactive or no Inactive or no Work Centres linked to RevisionRevision as per Relevancy Criteria assigned with a Work Centre which does not belong below:
1. Work Centre as per Relevancy Criteria
All key fieldsPF2, WP2








Conversion Process

The high-level process is represented by the diagrams below.


The following represents the high-level process for Source System Extraction:


The following represents the high-level process for DCT:


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:
    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.
  2. The data does not exist (or cannot be converted from its current state). The data is manually collected by the business directly in . 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
 1Extract data from source system based on relevancy ruleData Team
2Google Sheet report pre-populated with PF2 and WP2 information to be generated based on relevancy criteria. Data Team







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












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

Verify Record Count 

Data team to verify that the total number of relevant records from the source systems is equal to the total number of records in the Preload and Load Sheets.






Accuracy

TaskAction

Conversion Accuracy

Data team to verify that all fields below meet pass the checks:

1. Mandatory Fields

2. Field and Value Mapping Correctness

3. Null Checks

4. Text Length Checks

Review error reports

Review and correct the errors.  Achieve a zero-error record count as much as possible. Raise defects for data remediated and requiring a correction in the source data.




Business

Completeness

TaskAction

Verify Record Count 

Business team to verify that the total number of relevant records from the source systems is equal to the total number of records in the Preload and Load Sheets.






Accuracy

TaskAction

Conversion Accuracy

Business  to verify that all the data in the load table/file is accurate as per endorsed transformation/mapping rules (and signed-off data) 






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
N/A




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

Verify Count

Data team to verify the record count created in target S/4 HANA by accessing post load reports in dspMigrate or standard reports from S/4 HANA.

Verify Logs

Check if there is data that failed to load and perform the necessary actions (e.g. register as post load issue, or attempt to load the record again, etc.).




Accuracy

TaskAction

Conversion Accuracy

Data team to verify that the Measuring Point data in target S/4 HANA were loaded correctly via dspMigrate post load reports or standard reports from S/4 HANA. 






Business

Completeness

TaskAction

Verify Count

Download Post Load Reports from dspMigrate and verify that the record count loaded in the target S/4 HANA is the same count as of the endorsed load file.






Accuracy

TaskAction

Conversion Accuracy

Verify that the Measuring Point data in target S/4 HANA were loaded correctly via dspMigrate post load reports or standard reports from S/4 HANA.






Key Assumptions

  • Maintenance Planning Bucket is in scope based on data design and any exception requested by business.


See also

Change log

Version Published Changed By Comment
CURRENT (v. 6) Apr 13, 2026 11:59 ERGUIZA-ext, Pinky Love
v. 115 Apr 10, 2026 11:21 ERGUIZA-ext, Pinky Love
v. 114 Mar 25, 2026 05:09 ERGUIZA-ext, Pinky Love PDM-1373: Removal of Reference to TC24 as result of Unit Test
v. 113 Mar 25, 2026 05:04 ERGUIZA-ext, Pinky Love
v. 112 Mar 25, 2026 05:01 ERGUIZA-ext, Pinky Love
v. 111 Feb 12, 2026 13:53 ERGUIZA-ext, Pinky Love
v. 110 Feb 12, 2026 13:52 ERGUIZA-ext, Pinky Love MAINTPLNGBUCKETLABEL: Updated Rule post Functional Review
v. 109 Feb 12, 2026 13:50 ERGUIZA-ext, Pinky Love
v. 108 Feb 10, 2026 12:55 ERGUIZA-ext, Pinky Love
v. 107 Feb 04, 2026 10:25 ERGUIZA-ext, Pinky Love

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