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Status

  Revision in Progress

Owner
Stakeholders


Purpose

The purpose of this document is to define the conversion approach to create 1041 Inspection Plan Conversion Specification Document in S/4 HANA.

Inspection Plans are a core component of SAP Quality Management (QM) that define how materials are inspected, including inspection characteristics, sampling procedures, and inspection methods. An inspection plan contains detailed steps for quality checks and ensures that inspections are carried out in a standardized, repeatable, and compliant manner for specific materials, plants, and usage scenarios.

In SAP S/4HANA, the structure and usage of inspection plans remain largely consistent with SAP ECC, typically organized by key combinations such as material/plant, material group/plant, or multiple materials assigned to the same inspection plan via task lists. Inspection plans may also be linked to specific usage types (e.g., goods receipt, in-process inspection, final inspection) and can be maintained with reference to alternative groupings for flexibility.

In SAP ECC, aside from the standard structures, there may be inspection plans with additional variants such as multiple alternative plans for the same material/plant combination, inspection plans assigned to multiple task list groups, or plans that use reference materials. In some legacy systems, plans may also include non-standard fields or custom enhancements (pending MDS review) that will require evaluation before conversion.

This conversion aims to migrate active and relevant inspection plan master data, including associated operations, inspection characteristics, sampling procedures, and inspection methods, from existing ECC systems into S/4HANA. The migration will apply required transformation logic using Syniti as the data migration and transformation platform. The converted records will be loaded into the target S/4HANA system using standard SAP mechanisms such as BAPIs (e.g., BAPI_INSPECTIONPLAN_CREATE), IDOCs, or direct table loads where applicable, ensuring data consistency and compliance with S/4HANA requirements


Conversion Scope

The scope of this document covers the approach for converting active Inspection Plan from Legacy Source Systems into S/4 HANA system following the TBD Inspection Plan Master Data Design Standard.

From the current system landscape, Inspection Plan data exists separately in the legacy systems (PF2 and WP2), with potential discrepancies in both systems. Harmonization and validation are required to ensure accurate and consolidated data in S/4HANA. While PF2 and WP2 serve as source systems, extensive mapping and transformation logic will be necessary to produce properly formatted load templates in line with the target design.

The data from legacy system includes:

  1. Active Inspection Plans (PLKO) that are in “Released” status (STATU = 4) and used in production, quality, or procurement processes within the last three (3) years.
  2. Inspection Plans without deletion flag (PLKO-LOEKZ not set).
  3. Plant-specific Inspection Plans that will be migrated according to the To-Be Plant Mapping (considering new plant definitions).
  4. Inspection Plans assigned to valid materials via MAPL, where the material exists in the Material Master (MARA/MARC) and is in scope for migration.
  5. Inspection Plans with valid Group and Group Counter (PLKO-PLNNR, PLKO-PLNAL).
  6. Inspection Plans containing valid operations (PLPO) that reference existing and active work centers (CRHD).
  7. Inspection Plan characteristics (PLMK) that:
    • Reference valid Master Inspection Characteristics (QPMK)
    • Reference valid Sampling Procedures (QDSV)
    • Reference valid Inspection Methods (QMTB)
  8. Inspection Plans with consistent usage assignment (PLKO-VERWE) that aligns with configured Task List Usages (e.g., 5 = QM, 9 = Incoming Inspection).
  9. Inspection Plans with valid validity dates (PLKO-DATUV and PLKO-DATUB).
  10. Inspection Plans with multilingual text

The data from legacy system excludes:

  1. Inactive Inspection Plans that have not been used in inspection lots or linked processes for more than three (3) years
  2. Inspection Plans marked for deletion (PLKO-LOEKZ = X)
  3. Inspection Plans belonging to deleted or out-of-scope plants (as per To-Be Plant Mapping)
  4. Obsolete or duplicate Inspection Plans, including:
    • Plans replaced by harmonized corporate/global standards.

    • Multiple plans with identical material/usage/plant combinations where only one is required

    • Test or training plans not intended for production use
  5. Inspection Plans with invalid or inconsistent references, such as:
    • Characteristics linked to deleted/inactive MICs
    • Sampling Procedures or Inspection Methods that do not exist in S/4HANA
    • Work Centers flagged for deletion or not migrated
  6. Inspection Plans with invalid configuration, including:
    • Missing or blank Group Counter
    • Invalid usage codes
    • Duplicate operations/characteristics
  7. Inspection Plans with expired or invalid validity periods (Valid-To date already expired at cutover, or Valid-From date far into the future).
  8. Plans missing essential texts/descriptions required for business use in S/4HANA.


List of source systems and approximate number of records
SourceScope

Source Approx No. of Records

Target SystemTarget Approx

No. of Records

PF2/WP2

Inspection Plan will be extracted from PF2 and WP2  

PF2 = 8129 records

WP2 = 37451 records

S/4 HANA

13209 records

DCT

Inspection Plans for Plant / Material combinations not available in PF2 and WP2 (new builds or delta)

TBDS/4 HANATBD

Additional Information

Multi-language Requirement

Inspection Plan description will be maintained in English by default.

Since multi-language support is available for Inspection Plan, users logging in with a different language will see the description displayed in their logon language, provided that the corresponding language key has been maintained in the on Inspection Plan.

Document Management

None identified. The conversion scope is limited to the migration of Inspection Plan object. No document attachments, images, or supporting files are included.

Legal Requirement

Not applicable

Special Requirements

Not applicable



Target Design

Inspection Plan strictly adheres to the Master Data Standard. The complete information of the tables and key fields that hold the Inspection Plan information follows the Master Data Standard document.

The technical design of the target for this conversion approach (pending MDS)

TableFieldData ElementField DescriptionData TypeLengthRequirement
PLKOPLNTYPLNTYTask List Type (Q = Inspection Plan)CHAR1R
PLKOPLNNRPLNNRTask List GroupCHAR8R
PLKOPLNALPLNALGroup Counter (alternative)CHAR2R
PLKOWERKSWERKS_DPlantCHAR4R
PLKODATUVDATUVValid-From DateDATS8R
PLKOVERWEVERWETask List Usage (e.g., 1/5/9 – confirm in T416)CHAR3R
PLKOSTATUSTATUTask List Status (e.g., Released)CHAR1R
PLKOKTEXTKTEXTHeader DescriptionCHAR40C
PLKOLOEKZLOEKZDeletion IndicatorCHAR1C
PLKOKLARTKLARTClass Type (if classification used)CHAR3C
PLKOKZKUPKZKUPReference Indicator (Header)CHAR1C
PLPOPLNKNPLNKNNode Number (internal op ID)NUMC8R
PLPOVORNRVORNROperation Number (sequence)CHAR4R
PLPOLTXA1LTXA1Operation Short TextCHAR40R
PLPOSTEUSSTEUSControl KeyCHAR4R
PLPOARBIDARBIDWork Center (internal ID)NUMC8R
PLPOWERKSWERKS_DPlant (Work Center Plant)CHAR4R
PLPOBMSCHBMSCHBase Quantity (for std values)QUAN13C
PLPOVGW01VGWRTStandard Value 1 (e.g., Setup/Inspect time)DEC7C
PLPOVGE01VGWTSUnit for Standard Value 1UNIT3C
PLPOVGW02VGWRTStandard Value 2DEC7C
PLPOVGE02VGWTSUnit for Standard Value 2UNIT3C
PLPOKAPAZKAPAZCapacity Category (if used)CHAR3C
PLPOARBPLARBPLWork Center (external key, if you load views)CHAR8C
PLPOLOEKZLOEKZDeletion Indicator (Operation)CHAR1C
PLMKMERKNRMERKNRCharacteristic Number (in plan)NUMC4R
PLMKKURZTEXTKURZTEXTChar. Short TextCHAR40R
PLMKVORGLFNRVORGLFNROp Link (operation sequence number)NUMC4R
PLMKKZREFKZREFReference to Master Insp. Char. (MIC)CHAR1R
PLMKVERWMERKMVERWMERKMMIC Name (Referenced Char.)CHAR18R
PLMKVERSIONVERSIONMIC VersionNUMC2R
PLMKPRUEFUMFPRUEFUMFInspection Scope / Sample Procedure LinkCHAR4C
PLMKSTICHPRVERSTICHPRVERSampling ProcedureCHAR8C
PLMKKATALGARTKATALGARTCatalog Type (for qualitative)CHAR3R for Qualitative MIC
PLMKCODEGRPCODEGRPCode Group (qualitative)CHAR8R for Qualitative MIC
PLMKAUSWMENGEAUSWMENGESelected Set (qualitative)CHAR8C
PLMKPRUEFMEMSEHIUnit of Measure (quantitative)UNIT3R for Quantitative MIC
PLMKTOLKZTOLKZTolerance IndicatorCHAR1R for Quantitative MIC
PLMKMWERTSMWERTSTarget ValueDEC15R for Quantitative MIC
PLMKMWERTUMWERTULower Spec LimitDEC15R for Quantitative MIC
PLMKMWERTOMWERTOUpper Spec LimitDEC15R for Quantitative MIC
PLMKPRFGEBPRFGEBInspection Method AssignmentCHAR12C
PLMKPRFGVERPRFGVERInspection Method VersionNUMC2C
PLMKANZSTANZSTNo. of Single Values / SamplesNUMC3C
PLMKLOEKZLOEKZDeletion Indicator (Characteristic)CHAR1C
MAPLMATNRMATNRMaterialCHAR40R
MAPLWERKSWERKS_DPlantCHAR4R
MAPLPLNTYPLNTYTask List TypeCHAR1R
MAPLPLNNRPLNNRTask List GroupCHAR8R
MAPLPLNALPLNALGroup CounterCHAR2R
MAPLDATUVDATUVValid-From DateDATS8R
MAPLLOEKZLOEKZDeletion IndicatorCHAR1C


Data Cleansing

IDCriticalityError Message/Report DescriptionRuleOutputSource System
2009-001C1Invalid or inactive Material Assignment in Inspection PlanInspection plan (MAPL) is assigned to a material/plant that does not exist or is inactive in Material Master (MARA/MARC).Material MasterPF2/WP2
1006-001C1Invalid or inactive Work Center linked to OperationOperation (PLPO) assigned to a Work Center (CRHD) that does not exist or is flagged for deletion.Work CenterPF2/WP2
1041-001C1Inspection Plan not releasedHeader (PLKO-STATU) not set to “Released” (status = 4). Only released plans are migrated.Inspection Plan HeaderPF2/WP2
1041-002C1Invalid Usage assignmentInspection plan header (PLKO-VERWE) has an invalid or non-configured Task List Usage.UsagePF2/WP2
1041-003C1Missing or invalid Group CounterInspection plan (PLKO-PLNAL) is blank, duplicated, or inconsistent with group.Plan CounterPF2/WP2
1057-001C1Invalid Inspection CharacteristicPlan characteristic (PLMK) references a Master Inspection Characteristic (QPMK) that does not exist, is inactive, or marked for deletion.Master Insp. CharacteristicPF2/WP2
1057-002C1Inconsistent Quantitative/Qualitative SettingsPlan characteristic (PLMK-QUALI) is inconsistent with assigned MIC type (quantitative/qualitative).CharacteristicPF2/WP2
1064-001C1Missing Sampling ProcedurePlan characteristic (PLMK-STICHPRVER) references a Sampling Procedure (QDSV) that does not exist or is obsolete.Sampling ProcedurePF2/WP2
1043-001C1Missing or Invalid Inspection MethodPlan characteristic (PLMK-PRFGEB) references an Inspection Method (QMTB) that does not exist, is obsolete, or not valid for plant.Inspection MethodPF2/WP2
1057-003C1Duplicate Inspection CharacteristicsInspection plan contains duplicate operation/characteristic entries (same VORNR + MERKNR).Inspection Plan Operations/CharacteristicsPF2/WP2
1041-004C1Invalid Validity DateValid-From date (PLKO-DATUV) is in the future or overlaps inconsistently with other plans for same material/usage.Inspection Plan HeaderPF2/WP2
1041-005C1Obsolete Inspection PlanHeader marked with deletion flag (PLKO-LOEKZ = X). Exclude from migration.Inspection Plan HeaderPF2/WP2



Conversion Process

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

The ETL (Extract, Transform, Load) process is a structured approach to data migration and management, ensuring high-quality data is seamlessly transferred across systems. Here’s a breakdown of its key components:

1. Extraction
The process begins with extracting metadata and raw data from source systems, such as Syensqo ECC system (i.e. WP2/PF2) periodically. The extracted data is then staged for transformation.


2. Transformation
Once extracted, the data undergoes cleansing, consolidation, and governance. This step ensures data integrity, consistency, and compliance with business rules. The transformation process includes:
- Data validation to remove inconsistencies.
- Standardization to align formats across datasets.
- Business rule application to refine data for operational use.


3. Loading
The transformed data is then loaded into the target S/4HANA system. 

image-2025-6-10_17-0-33.png

Data Privacy and Sensitivity

Not applicable


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
Extraction Scope Definition- Identify the source systems and databases involved.
- Define the data objects (tables, fields, records) to be extracted.
- Establish business rules for data selection.

Syniti /P2F Data team

Extraction Methodology- Specify the extraction approach (full, incremental, or delta extraction).
- Determine the tools and technologies used.
- Define data filtering criteria to exclude irrelevant records.
Syniti 
Extraction Execution Plan- Establish execution timelines and batch processing schedules.
- Assign responsibilities for extraction monitoring.
- Document dependencies on other migration tasks.
Syniti
Data Quality and Validation- Define error handling mechanisms for extraction failures.Syniti


Selection Screen

Selection Ref ScreenParameter NameSelection TypeRequirementValue to be entered/set
Not applicable



















Data Collection Template (DCT)

Target Ready Data Collection Template for Inspection Plan will be created for data with exception of some fields which require transformation as mentioned in the transformation rule.

DCT For Inspection Plan will be structured into 3 sections:

1. Inspection Plan Header

Field NameField DescriptionRule
PLKO-MATNRMaterial NumberMaterial Number
Data type: Character
Length : 18
PLKO-WERKSPlantPlant
Data type: Character
Length : 4
PLKO-PLNNRGroup NumberGroup Number
Data type: Character
Length : 8
PLKO-PLNALGroup CounterGroup Counter
Data type: Character
Length : 2
PLKO-STATU

Status 

Status (Released=4)
Data type: Character
Length : 1
PLKO-VERWETask List UsageTask List Usage = Q
Data type: Character
Length : 1
PLKO-DATUVValid from DateValid From Date
Data type: Date Field
Length : 8


2. Inspection Plan - Operation

Field NameField DescriptionRule






















3. Inspection Plan - Characteristic


Field NameField DescriptionRule












Extraction Dependencies

Item #Step DescriptionTeam Responsible
1

Source System Availability

  • Ensure that the source database or application is accessible.
  • Confirm that necessary credentials and permissions are granted

Syensqo IT

2

Data Structure

  • Identify relationships between tables, views, and stored procedures.

Syniti

3

Referential Integrity

  • Ensure dependent records are extracted together.

Syniti

4

Extraction Methodology

  • Define whether extraction is full, incremental, or delta-based.
  • Establish batch processing schedules for large datasets.

Syniti

5

Performance and Scalability Considerations

  • Optimize extraction queries to prevent system overload.
  • Ensure network bandwidth supports data transfer volumes.

Syniti

6

Security and Compliance

  • Adhere to regulatory standards for sensitive information if applicable

Syniti

7

Data cleansing of legacy Material Master - QM View with assigned inspection type data must be completed.

If standardization within the DCT begins using relevant data from PF2 and WP2 before the cleansing is finalized, it is understood that the business will take due diligence to ensure any subsequent delta cleansing is verified and aligned within the DCT.

Business


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

1

Transformation Scope Definition

- Identify the source and target data structures.

- Define business rules for data standardization.

- Establish data cleansing requirements to remove inconsistencies.

Data Team

2

Data Mapping and Standardization

- Align source fields with target fields.

- Ensure unit consistency (e.g., currency, measurement units)

Data Team

3

Business Rule Application

- Implement data enrichment/collection if applicable

- Apply conditional transformations based on predefined logic/business rules

Data Team

4

Transformation Execution Plan

- Define batch processing schedules.

- Assign responsibilities for monitoring execution.

- Establish error-handling mechanisms

Syniti


Transformation Rules

Rule #Source systemSource TableSource FieldSource DescriptionTarget SystemTarget TableTarget FieldTarget DescriptionTransformation Logic
1PF2/WP2PLKOPLNTYTask list typeS/4HANAPLKOPLNTYTask list typeFixed value ‘Q’ for Inspection Plan. R
2PF2/WP2PLKOPLNNRGroup numberS/4HANAPLKOPLNNRGroup numberRetain if unique; otherwise re-number per S/4 numbering range. Keep legacy → new cross-ref. R
3PF2/WP2PLKOPLNALGroup counterS/4HANAPLKOPLNALGroup counterCopy as-is; if duplicate within new group, renumber sequentially. R
4PF2/WP2PLKOWERKSPlantS/4HANAPLKOWERKSPlantMap with Old→New Plant Mapping (To-Be Plant). Reject if target plant out of scope. R
5PF2/WP2PLKOVERWETask list usageS/4HANAPLKOVERWETask list usageMap/validate against S/4 customizing. If blank or invalid, set ‘5’ (Inspection Plan) per design. R
6PF2/WP2PLKOSTATUStatusS/4HANAPLKOSTATUStatusOnly migrate Released (4) plans. Others excluded (cleansing). R
7PF2/WP2PLKODATUVValid-fromS/4HANAPLKODATUVValid-fromCopy; if in past & still valid, keep. If missing, set to Go-Live – 1 day by rule. R
8PF2/WP2PLKOKTEXTHeader short textS/4HANAPLKOTKTEXTHeader text (lang-dep.)Bring per language strategy (EN + available translations). Trim to field length; sanitize special chars. R
9PF2/WP2MAPLMATNR/WERKSMaterial–Plan assignmentS/4HANAMAPLMATNR/WERKSMaterial–PlanMigrate only if Material + Plant exist in S/4 and in scope. Remap plants and 18-char MATNR format. R
10PF2/WP2PLPOVORNROperation numberS/4HANAPLPOVORNROperation numberCopy with zero-pad (e.g., 0010). Re-sequence 0010… if duplicates. R
11PF2/WP2PLPOARBPLWork centerS/4HANAPLPOARBPLWork centerValidate work center (CRHD) migrated & in target plant; otherwise map via WC Old→New or flag error. C
12PF2/WP2PLPOLTXA1Operation short textS/4HANAPLPOTLTXA1Operation textBring EN + translations; enforce length; strip control chars. R
13PF2/WP2PLPOSTEUSControl keyS/4HANAPLPOSTEUSControl keyMap to S/4 controlling key (e.g., QM01). Validate against target customizing; default per business rule if blank. R
14PF2/WP2PLMKMERKNRChar. number within planS/4HANAPLMKMERKNRChar. numberCopy; if missing, derive sequentially per operation (0001…n). R
15PF2/WP2PLMKKURZTEXTChar. short textS/4HANAPLMKKURZTEXTChar. textIf MIC is referenced, pull from MIC (QPMT). If direct char, copy & trim. R
16PF2/WP2PLMKVORNROperation linkS/4HANAPLMKVORNROperation linkEnsure each characteristic links to a migrated operation (Rule #10). R
17PF2/WP2PLMKMERK_ID (VERWMERKM/VERSION)Master Insp. Char.S/4HANAPLMKMERK_IDMIC referenceIf populated, validate MIC migrated (QPMK/QPMT). If not found, flag error or convert to direct char per design. C
18PF2/WP2PLMKTolerances/Specs (various)Specs/limitsS/4HANAPLMK(e.g., UNTLW/OBTLW, MSEHI, DECIMALS)Specs/limitsIf MIC-ref: inherit from MIC unless plan overrides allowed. If direct char: carry lower/upper limits, target, UoM; map UoM via T006. C
19PF2/WP2QAMVSTICHPRVERSampling procedureS/4HANAQAMVSTICHPRVERSampling procedureValidate procedure exists in S/4 (QDSV). Map IDs; if missing, apply default per material/usage or flag error. C
20PF2/WP2PLMKPMTNR/PMTVRInspection method (ref.)S/4HANAPLMKPMTNR/PMTVRInspection methodMigrate only if Method exists & active (QMTB/QMTT). Otherwise blank and log issue. C
21PF2/WP2PLMKERFASRecording modeS/4HANAPLMKERFASRecording modeMap 1=Measured value, 2=Attribute, etc., to S/4 codes; validate against config. C
22PF2/WP2PLMKAUSWGR/VAUSWSelected set / code groupS/4HANAPLMKAUSWGR/VAUSWValuation catalogBring only if target catalogs exist; map catalog/code via customizing mapping tables. C
23PF2/WP2PLMKMERKMARequired char. flagS/4HANAPLMKPFLICHTRequired flagSet according to business rule; if MIC mandates required, keep required in plan. C


Transformation Mapping

Mapping Table NameMapping Table Description
PlantMapping of legacy Plants to To-Be Plants in S/4HANA (used for PLKO/PLPO/PLMK and MAPL).
Work CenterMapping of legacy Work Centers (CRHD-ARBPL) to new Work Centers in the target plant.
Task List UsageMapping of legacy Task List Usage (PLKO-VERWE) to S/4HANA usage codes (e.g., map local values to 5 – Inspection Plan).
Control KeyMapping of legacy Operation Control Keys (PLPO-STEUS) to target control keys (e.g., to QM01).
Material NumberMapping/normalization of Material numbers (legacy format) to the 18-char S/4 MATNR used in MAPL assignment.
Master Inspection Characteristic (MIC)Mapping of legacy MICs (QPMK/QPMT: VERWMERKM/VERSION) to harmonized MIC IDs in S/4; includes merge rules for duplicates/versions.
Sampling ProcedureMapping of Sampling Procedures (QDSV / QAMV-STICHPRVER) from legacy IDs to target IDs and sampling schemes.
Inspection MethodMapping of Inspection Methods (QMTB/QMTT) from legacy method numbers and versions to target method IDs.
Unit of MeasureMapping of UoM (PLMK-MSEHI, PLPO/PLMK qty fields) to S/4 UoM using T006; includes conversion rules/decimals.
Catalogs / Code Groups / Selected SetsMapping of QM catalogs (defect/characteristic/usage) and selected sets used in plan characteristics to target catalogs/code groups.
Language TextsMapping strategy for short & long texts (header/operation/characteristic) from legacy languages to target language keys (EN + approved translations).
StatusMapping of plan status to S/4 rules (only Released = 4 migrated; others excluded).

Transformation Dependencies

List the steps that need to occur before transformation can commence
Item #Step DescriptionTeam Responsible













Pre-Load Validation

Project Team

Completeness

TaskAction

Compare Data Counts

  1. Verify row counts between source and target databases.
  2. Identify missing or duplicated records.

Validate the mandatory fields

Validate there is value for all the mandatory fields

Validate Primary Keys and Unique Constraints

  1. Check for duplicate or missing primary key values.
  2. Ensure unique constraints are maintained.

Test Referential Integrity

Confirm dependent records exist in related tables


Accuracy

TaskAction

Validate the transformation

Validate the fields which require transformation have the value after transformation instead of the original field value

Check Data Consistency

  1. Compare field values across systems
  2. Validate data formats and structures

Business

Completeness

TaskAction

Compare Data Count

  1. Verify row counts between source and target databases.
  2. Identify missing or duplicated records.
Review populated templates for missing or incorrect valuesUse checklists to verify completeness and correctness before submission

Accuracy

TaskAction

Conversion Accuracy

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

1

Load Scope Definition

- Identify the target system and database structure.

- Define data objects (tables, fields, records) to be loaded.

- Establish business rules for data validation.

Data team

2

Load Methodology

- Specify the loading tools and technologies (Migration Cockpit, LSMW, custom loading program).

Syniti 

3

Data Quality and Validation

- Ensure data integrity checks (null values, duplicates, format validation).

- Perform pre-load validations to verify completeness.

- Define error handling mechanisms for load failures

Syniti 

4

Load Execution Plan

- Establish execution timelines and batch processing schedules.

- Assign responsibilities for monitoring execution.

- Document dependencies on other migration tasks

Syniti

5

Logging and Reporting

- Maintain detailed logs of loading activities.

- Generate summary reports on loaded data volume and quality.

- Define escalation procedures for errors

Syniti 


Load Phase and Dependencies

The Material Listing and Exclusions will be loaded in the pre-cutover (PreCutover 4 phase) period.

Before loading, it will have dependency on the following configuration and data objects in the S/4 HANA.

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

Configuration / Data Transformation

The value XXX for field XXX doesn't exist

  1. Check the mapping/ conversion is done properly in the loading file
  2. Validate the target value is configured/ transported in the target system
  3. Reach out to function team to validate the configuration

Configuration

There is mandatory field XXX missing

  1. Validate MDS if the fields are set as mandatory
  2. Validate if there is value in the pre-loading file
  3. Validate if the configuration for the mandatory fields are done properly


Post-Load Validation

Project Team

Completeness

TaskAction

Validate Record count in the backend

Validate all tables with prefix “KOTG” has the same records as the loading file

Display Records

Pick up a few random Material Listing or Material Exclusions, and run t-code: VB03 to validate the Material Listing and Exclusions can be displayed without any error.

Perform Source-to-Target Comparisons

  1. Validate that migrated data matches source records.
  2. Check for discrepancies in numerical values, text fields, and timestamps

Accuracy

TaskAction

Execute Sample Queries and Reports

  1. Run queries to validate business logic.
  2. Generate reports to compare expected vs. actual results

Conduct Post-Migration Reconciliation

Generate reports comparing pre- and post-migration data.


Business

Post-load validation is a critical step in data migration, ensuring that transferred data is accurate, complete, and functional within the target system.

1. Ensuring Data Integrity
After migration, data must be consistent with its original structure. Post-load validation checks for missing records, incorrect mappings, and formatting errors to prevent discrepancies.
2. Business Continuity
Faulty data can disrupt operations, leading to financial losses and inefficiencies. Validating post-load data ensures that applications function as expected, preventing downtime.
3. Error Detection and Resolution
By validating data post-migration, businesses can detect anomalies early, reducing the cost and effort required for corrections


Completeness

TaskAction
Perform Source-to-Target Comparisons
  1. Validate that migrated data matches source records.
  2. Check for discrepancies in numerical values, text fields, and timestamps
Conduct Post-Migration ReconciliationGo through reports comparing pre- and post-migration data.

Accuracy

TaskAction

Perform Manual Testing

Conduct manual spot-checks for additional assurance.


Key Assumptions

  • Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
  • Inspection Plan is in scope based on data design and any exception requested by business.
  • Data cleansing has met the required percentage threshold for the specified mock cycle and all preparation activities have been completed.
  • Data entries in DCT are target-ready data unless a specific transformation rule is stated for that field in the transformation rules.


See also


Change log

Version Published Changed By Comment
CURRENT (v. 13) Feb 24, 2026 11:41 REDDY-ext, Naren Removed the CUI object statement from Purpose
v. 46 Feb 17, 2026 15:15 REDDY-ext, Naren Updated the DCT long text section
v. 45 Feb 17, 2026 09:15 REDDY-ext, Naren Updated DCT section
v. 44 Feb 17, 2026 09:10 REDDY-ext, Naren
v. 43 Feb 12, 2026 15:53 REDDY-ext, Naren Update DCT section : DCT template
v. 42 Nov 28, 2025 14:53 REDDY-ext, Naren Updated the Validation reports link(Post load validation)
v. 41 Nov 27, 2025 11:33 REDDY-ext, Naren Removed STXH-TDLOCK, STXL-TDSPO from transformation rules
v. 40 Nov 17, 2025 03:22 REDDY-ext, Naren Update cleansing rules
v. 39 Nov 17, 2025 02:57 REDDY-ext, Naren Updated the scope of CUI
v. 38 Oct 29, 2025 12:47 REDDY-ext, Naren Updated the relevancy to include PLNTY = Q

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