| Status | Approved |
|---|---|
| Owner | |
| Stakeholders |
Purpose
The purpose of this document is to define the conversion approach to create Material Listing and Exclusions in S/4 HANA.
Conversion Scope
The scope of this document covers the approach for converting active Material Listing and Exclusions from Legacy Source Systems into S/4HANA following the Material Listing and Exclusions Master Data Design Standard.
From the current system landscape, Material Master 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:
- All active Material Listing; valid to date beyond S/4 Go-Live date AND customer as per CNV-3003 AND material as per CNV-2003.
- All active Material Exclusions; valid to date beyond S/4 Go-Live date AND customer as per CNV-3003 AND material as per CNV-2003.
The data from legacy system excludes:
- Inactive Material Listing; table not active anymore OR valid to date before S/4 Go-Live date OR customer not included in CNV-3003 or material not included in CNV-2003.
- Inactive Material Exclusions; table not active anymore OR valid to date before S/4 Go-Live date OR customer not included in CNV-3003 or material not included in CNV-2003.
| Source | Scope | Source Approx No. of Records | Target System | Target Approx No. of Records |
|---|---|---|---|---|
WP2 | Table: KOTG001 Listing/exclusion type - Customer - Material - Valid to - Valid From Without sales organization but there are data for inclusion - Z002 (Cust/Restricted used), e.g. WP2 - SO 3480790 where customer 65429 is marked for deletion and listing type Z002 no longer assigned to procedure A00001. CHECK in detail | 5,000 | S/4 HANA | 5,000 |
WP2 | Table: KOTG004 Listing/exclusion type - Sales Organization - Distribution Channel - Customer - Material - Valid to - Valid From | 100 | S/4 HANA | 100 |
WP2 | Table: KOTG906 Listing/exclusion type - Sales Organization - Customer - Material - Valid to - Valid From | 120,000 | S/4 HANA | 120,000 |
WP2 | Table: KOTG908 Listing/exclusion type - Sales Organization - Departure country - Valid to - Valid From | 50 | S/4 HANA | 50 |
WP2 | Table: KOTG909 Listing/exclusion type - Material - Destination Country - Region - Valid to - Valid From | 3,000 | S/4 HANA | 3,000 |
WP2 | Table: KOTG913 Listing/exclusion type - Sales Organization - Material - Customer - Valid to - Valid From | 300 | S/4 HANA | 300 |
WP2 | Table: KOTG962 Listing/exclusion type - Material - Destination Country - Valid to - Valid From | 150 | S/4 HANA | 150 |
WP2 | Table: KOTG964 Listing/exclusion type - Sales Organization - Material - Destination Country - Valid to - Valid From | 85,000 | S/4 HANA | 85,000 |
PF2 | Table: KOTG501 Listing/exclusion type - Destination Country - Material Group - Valid to - Valid From | 15,500 | S/4 HANA | 15,500 |
PF2 | Table: KOTG521 Listing/exclusion type - Destination Country - Region - Material - Valid to - Valid From | 50 | S/4 HANA | 50 |
PF2 | Table: KOTG903 List/excl. - Material - Plant - Ship-To Party - Valid to - Valid From | 50 | S/4 HANA | 50 |
PF2 | Table: KOTG904 List/excl. - Material - Plant - Sold-To Party - Valid to - Valid From | 50 | S/4 HANA | 50 |
PF2 | Table: KOTG906 Sales org. - Destination Country - Valid to - Valid From | 100 | S/4 HANA | 100 |
Additional Information
Multi-language Requirement
Not Applicable
Document Management
Not Applicable
Legal Requirement
As per US Department of Defence (DOD) a Cybersecurity Maturity Model Certification/ CMMC 2.0 is a mandatory certification for all contractors handling Controlled Unclassified Information (CUI) and Federal Contract Information (FCI). CUI includes sensitive technical data (e.g., design specs, system info) related to U.S. military and space applications. The Composites Business handles CUI and is therefore within CMMC scope. Without certification, the business risks disqualification from existing and future DoD programs.
It is mandatory to implement CMMC-compliant systems and processes to for all the organizations that are dealing with CUI.
Therefore, there will be one SAP instance specifically for CUI related entities. The migration for CUI related entities will be covered by US based data consultant using separate tools.
Special Requirements
Material Listing and Exclusions
A. Different SAP Instance Migration Approach
Due to compliance requirement, there will be one SAP instance for Rest of the World (ROW), one for China and one for CUI.
- For entities in China, the data will be loaded into SAP China instance while the entire migration process will remain the same as rest of the world.
- For entities which will reside in CUI, the migration will be handled by US based data consultant.
Please refer to the link for the entity mapping for each instance. In case the data object is applicable for multiples instances, what business rule to follow?
- To identify the record is for SAP ROW Instance, it will use below logic.
- The Material has sales organization data in below entities.
- If the Material is used in both ROW entities and others, then the Sales View data needs to be created in both SAP ROW and others instances.
| PF2 | 3383 | SOLVAY SPOL KR |
| PF2 | 5686 | SOLVAY QUIMICA (AR) |
| PF2 | 5835 | SOLVAY SPOL IT |
| PF2 | 5846 | SOLVAY SPOL JP |
| PF2 | 5955 | SOLVAY SPECIALIT IN |
| PF2 | 5978 | SOLVAY SPOL BE |
| PF2 | 6080 | SOLVAY FRANCE FR |
| PF2 | 6327 | SLV SP CHEM ASIA PAC |
| WP2 | AE01 | AE Composite Matls |
| WP2 | AU01 | Technology Solutions |
| WP2 | AU02 | AU Novecare |
| WP2 | BR42 | Quimicos BR Novecare |
| WP2 | BR44 | Quimicos BR SpecPoly |
| WP2 | BR47 | Quimicos BR Tech Sol |
| WP2 | CA12 | Technology Solutions |
| WP2 | CA15 | Cytec CA Novecare |
| WP2 | CL01 | Cytec Chile Tech Sol |
| WP2 | DE13 | Composites Materials |
| WP2 | FRAZ | SPOP Novecare |
| WP2 | GB34 | Solvay Solutions UK |
| WP2 | GB40 | Composites Materials |
| WP2 | ID01 | CYID Tech Solutions |
| WP2 | IN04 | SSIPL IN Novecare |
| WP2 | IT07 | Novecare Italie |
| WP2 | JP02 | Solvay Japan, Ltd |
| WP2 | JP03 | Solvay Nicca, Ltd |
| WP2 | JP10 | Technology Solutions |
| WP2 | KR11 | CY KR Novecare |
| WP2 | KR12 | CY KR Tech Solutions |
| WP2 | MX01 | MX Tech Solutions |
| WP2 | MX02 | MX Novecare |
| WP2 | MX08 | MX Spec Polymers |
| WP2 | NL01 | Cytec Ind BV TS |
| WP2 | NL05 | Solvay Sol NL Noveca |
| WP2 | NZ01 | Solvay New Zealand |
| WP2 | PE01 | Technology Solutions |
| WP2 | SG03 | Solvay Sp Chem SG |
| WP2 | SG08 | SSCAP SG Tech Sol |
| WP2 | TH01 | Technology Solutions |
| WP2 | TH03 | Solvay (Bangpoo) SC |
- To identify the record is for SAP China Instance, it will use below logic.
- The Material has sales organization data in below entities.
- If the Material is used in both China entities and others, then the Sales View data needs to be created in both SAP China and other instances.
| PF2 | 5876 | SOLVAY SHANGHAI LTD |
| PF2 | 5991 | SOLVAY SPEC POLYMERS |
| WP2 | CN15 | Solvay ZJ Novecare |
| WP2 | CN18 | Zhuhai SLV Novecare |
| WP2 | CN19 | Solvay ZJG Novecare |
| WP2 | CN27 | Solvay ZJ Tech Sol |
| WP2 | CN28 | CYIS Tech Solutions |
| WP2 | CN36 | CYIS Composites Matl |
| WP2 | CN41 | CEM (SH) Compos Mats |
- To identify the record is for SAP CUI Instance, it will use below logic.
- The Material has sales organization data in below entities.
- If the Material is used in both CUI entities and others, then the Sales View data needs to be created in both SAP CUI and other instances.
| PF2 | 5782 | SOLVAY SPOL US |
| WP2 | US05 | Solvay US Novecare |
| WP2 | US23 | Technology Solutions |
| WP2 | US32 | Composite Materials |
| WP2 | US33 | CEM Defense Material |
| WP2 | US50 | Composite Mat (7008) |
Target Design
Material Listing and Exclusions Data strictly adheres to the Master Data Standard. The complete information of the tables and key fields that hold the Material Listing and Exclusions information follows the Master Data Standard document.
The technical design of the target for this conversion approach.
| Table | Field | Data Element | Field Description | Data Type | Length | Requirement |
|---|---|---|---|---|---|---|
Data Cleansing
All data cleansing should take place in the data source system as defined in this document, unless system limitations prevent it.
| ID | Criticality | Error Message/Report Description | Rule | Output | Source System |
|---|---|---|---|---|---|
| 2001-001 | Set valid to date to before S/4HANA Go-Live date | For Listing/ Exclusion which the table combination is no longer valid, e.g. customer flagged for deletion, material flagged for deletion, | Pending MDS | PF2/ 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.
For CUI instance, the ETL process will be similar, but it will not use Syniti tool.
Data Privacy and Sensitivity
For SAP CUI instances, the data will be processed by US Based consultants.Extraction
Extraction Run Sheet
| Req # | Requirement Description | Team 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 / US Based Consultant for S/4HANA CUI instance Syniti / LTC 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 / US Based Consultant for S/4HANA CUI instance |
| Extraction Execution Plan | - Establish execution timelines and batch processing schedules. - Assign responsibilities for extraction monitoring. - Document dependencies on other migration tasks. | Syniti / US Based Consultant for S/4HANA CUI instance |
| Data Quality and Validation | - Define error handling mechanisms for extraction failures. | Syniti / US Based Consultant for S/4HANA CUI instance |
Selection Screen
| Selection Ref Screen | Parameter Name | Selection Type | Requirement | Value to be entered/set |
|---|---|---|---|---|
| Not Applicable | ||||
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
Material Listing and Exclusions
| Field Name | Field Description | Rule |
|---|---|---|
Extraction Dependencies
| Item # | Step Description | Team Responsible |
|---|---|---|
| 1 | Source System Availability
| Syensqo IT |
| 2 | Data Structure
| Syniti / US Based Consultant for S/4HANA CUI instance |
| 3 | Referential Integrity
| Syniti / US Based Consultant for S/4HANA CUI instance |
| 4 | Extraction Methodology
| Syniti / US Based Consultant for S/4HANA CUI instance |
| 5 | Performance and Scalability Considerations
| Syniti / US Based Consultant for S/4HANA CUI instance |
| 6 | Security and Compliance
| Syniti / US Based Consultant for S/4HANA CUI instance |
| 7 | Data cleansing of legacy Material Master - Sales View with sales long text 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 Syniti Migrate to make the data Target ready:
- Perform value mapping and data transformation rules.
- Legacy values are mapped to the to-be values (this could include a default value)
- Values are transformed according to the rules defined in Syniti Migrate
- 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 | 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 / US Based Consultant for S/4HANA CUI instance |
Transformation Rules
| Rule # | Source system | Source Table | Source Field | Source Description | Target System | Target Table | Target Field | Target Description | Transformation Logic |
|---|---|---|---|---|---|---|---|---|---|
Transformation Mapping
| Mapping Table Name | Mapping Table Description |
|---|---|
MAP_VKORG | Sales Organization Mapping |
MAP_VTWEG | Distribution Channel Mapping SyWay - Sales Area.pptx --> All the actual distribution channels and divisions won't exist in the to-be solution Check current Dist.Ch. and discuss with Functional team and how to do the mapping |
MAP_MSTAV | Material Status - Sales Mapping MSTAV - Cross Distribution Chain is used in WQ2 Exclusions (code: 05 and 11) Check the configuration in ECC for 05 and 11 and the mapping to S/4 HANA. Discuss with the Functional team if the material master for these 2 codes will be migrated to S/4? |
MAP_WERKS | Plant Mapping WERKS - Plant Share the same mapping table with S2P. To check with Jasleen Madhok, John Hancock, Angelo Buosi |
MAP_MATKL | Material Group Mapping |
MAP_ALAND | Country Mapping |
MAP_MATNR | Material Mapping |
MAP_REGIO | Region Mapping |
MAP_KUNNR | Customer Mapping Covers mapping for ALL customers, incl.: KUNAG Sold-to KUNWE Ship-to |
MAP_KSCHL | Listing/exclusion type |
Transformation Dependencies
List the steps that need to occur before transformation can commence| Item # | Step Description | Team Responsible |
|---|---|---|
1 | Source Data Integrity - Ensure extracted data is complete, accurate, and consistent. - Validate that data types and formats align with transformation requirements. | Syniti |
2 | Referential Integrity - Ensure dependent records are transformed together or in advance | Syniti |
3 | Transformation Logic and Mapping - Define data mapping rules between source and target schemas. | Data Team |
4 | Performance and Scalability Considerations - Optimize transformation processes for large datasets. - Ensure system resources can handle transformation workloads | Syniti |
5 | Logging and Error Handling - Maintain detailed logs of transformation activities. - Define error-handling procedures for failed transformations | Syniti |
Pre-Load Validation
Project Team
Completeness
| Task | Action |
|---|---|
Compare Data Counts |
|
Validate the mandatory fields | Validate there is value for all the mandatory fields |
Validate Primary Keys and Unique Constraints |
|
Test Referential Integrity | Confirm dependent records exist in related tables |
Accuracy
| Task | Action |
|---|---|
Validate the transformation | Validate the fields which require transformation have the value after transformation instead of the original field value |
Check Data Consistency |
|
Business
Completeness
| Task | Action |
|---|---|
Verify Record Count | Business Data Owner/s to verify that the total number of relevant records from the DCT is equal to the total number of records in the Preload and Load Sheets. |
Accuracy
| Task | Action |
|---|---|
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:
- Execute the automated data load into target system using load tool or product the load file if the load must be done manually
- 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 Description | Team 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 period.
Before loading, it will have dependency on the following configuration and data objects in the S/4 HANA.
Configuration
| Item # | Configuration Item |
|---|---|
1 | Listing/ Exclusion Table |
2 | Listing/ Exclusion Access Sequence |
3 | Listing/ Exclusion Type |
4 | Listing/ Exclusion Procedure |
5 | Country Code (Departure and Destination Country) |
6 | Region |
7 | Material Group |
8 | Sales Organization |
9 | Distribution Channel |
10 | Plant |
11 | Cross-Distribution-Chain Material Status (X-distr.chain status) |
Conversion Objects
| Object # | Preceding Object Conversion Approach |
|---|---|
3003 | Business Partners - Customer (Sales and Service) - FLCU01 |
2003 | Materials - Sales view with sales long text |
Error Handling
| Error Type | Error Description | Action Taken |
|---|---|---|
Configuration / Data Transformation | The value XXX for field XXX doesn't exist |
|
Configuration | There is mandatory field XXX missing |
|
Post-Load Validation
Project Team
Completeness
| Task | Action |
|---|---|
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 |
|
Accuracy
| Task | Action |
|---|---|
Conduct Post-Migration Reconciliation |
|
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
| Task | Action |
|---|---|
Accuracy
| Task | Action |
|---|---|
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.
- Material Listing and Exclusions is in scope based on data design and any exception requested by business.
See also
Change log
Workflow history
| Title | Last Updated By | Updated | Status | |
|---|---|---|---|---|
| There are no pages at the moment. | ||||

