Status
Owner	THANGARAJAN-ext, Ganesan
Stakeholders	The business stakeholders involved in making, reviewing, and endorsing this decision. Type @ to mention people by name

Purpose

The purpose of this document is to define the data conversion approach for creating Pricing Condition Records in the SAP S/4HANA target system, as part of a Greenfield implementation.

In SAP ECC, sales pricing condition records exist as part of the pricing procedure configuration and are stored in condition tables such as KONV, A*, and related master and transactional tables. These records are used to define pricing elements such as base price, discounts, freight, and surcharges across sales documents.
 
In SAP S/4HANA, the structure and usage of pricing condition records remain largely consistent; however, data models may be simplified, and dependencies on business partners (replacing customer/vendor master records) become critical in ensuring consistency across sales and purchasing functions.
 
This conversion aims to migrate active and relevant sales pricing condition records from existing ECC systems into S/4HANA by applying 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 IDOCs, BAPIs, or direct table loads where applicable.

Conversion Scope

The scope of this document includes the end-to-end approach for:

• Extracting existing Pricing Condition Records from SAP ECC systems WP2 and PF2.
• Applying transformation and cleansing logic via Syniti to conform with the S/4HANA data model and business partner framework.
• Loading the transformed condition records into SAP S/4HANA while ensuring data integrity, correct assignment to condition types, condition tables, access sequences, and pricing procedures.

This process will support the migration of condition records such as:

• Base Price (e.g., PR00)
• Discounts (e.g., K007, K004)
• Freight and surcharges

The conversion will ensure all condition records are aligned to the new Pricing Key combinations defined for example, based on Business Partner, Material Masters and relevant Organizational Units (Sales Org, Distribution Channel, Division) as designed for the target S/4HANA landscape.

The data from legacy system includes:

1. List price at various key combinations including scale-based pricing as applicable
2. Discounts and surcharges at various key combinations
3. Freight condition records at various key combinations

The data from legacy system excludes:

1. Tax condition records that will be covered in CONV-1035 Tax condition records spec.
2. Rebate condition records that will be managed via Condition contracts set up

List of source systems and approximate number of records

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
WP2	Pricing Condition Records		S/4HANA System
PF2	Pricing Condition Records		S/4HANA System

Additional Information

Multi-language Requirement 

Not Applicable

Document Management

None identified. The conversion scope is limited to the migration of pricing condition data records. No document attachments, images, or supporting files are included.

Legal Requirement

Summarize Legal Requirement/s, if any

Special Requirements

Specify any special requirements or considerations that may impact the data conversion process based on specific locations, regulatory compliance or system limitations. Clearly outline any regional or localization requirements such as country-specific data formats, legal reporting obligations or industry standards that must be adhered to (e.g., localization rules for countries like China).

If the data conversion involves third-party systems or external data sources, such as Icertis, describe any additional requirements related to data mapping, transformation logic, validation rules or security measures that must be followed.

Target Design

With Functional input, document the technical design of the target fields that are in the scope of this document.

The technical design of the target for this conversion approach.

Table	Field	Data Element	Field Description	Data Type	Length	Requirement
KONH	KNUMH	KNUMH	Condition Record Number	CHAR	10	Mandatory (Key)
KONH	ERDAT	ERDAT	Created On	DATS	8	Optional
KONH	DATAB	DATAB	Valid From	DATS	8	Mandatory
KONH	DATBI	DATBI	Valid To	DATS	8	Mandatory
KONP	KSCHL	KSCHL	Condition Type	CHAR	4	Mandatory
KONP	KBETR	KBETR	Rate	CURR	11	Mandatory
KONP	KPEIN	KPEIN	Pricing Unit	DEC	5	Mandatory if UoM
KONP	KMEIN	KMEIN	Unit of Measure	UNIT	3	Optional
KONP	WAERS	WAERS	Currency	CUKY	5	Mandatory
KONP	KZBZG	KZBZG	Calculation Type	CHAR	1	Mandatory
KONM	KSTBM	KSTBM	Scale Base Value	DEC	17	Optional
KONM	KBETR	KBETR	Scale Rate	CURR	11	Optional

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.

ID	Criticality	Error Message/Report Description	Rule	Output	Source System
1034-001	C1	Remove obsolete condition records	Eliminate pricing condition records where the material, customer, or condition type is blocked or discontinued.	List of obsolete records	WP2/PF2
1034-002	C1	Validate Customer-Material master data	Ensure pricing condition records refer to valid and active Customer and Material master records.	List of invalid Customer Material combinations	WP2/PF2
1034-003	C1	Remove expired condition records	Delete condition records where validity end date has already passed. Exception the condition records required for open sales orders under migration scope	List of expired records	WP2/PF2
1034-004	C1	Validate mandatory fields	Check for missing mandatory fields (e.g. Condition Value, Currency, UoM, Scale data, Validity dates).	List of incomplete records	WP2/PF2
1034-005	C2	Detect duplicate condition records	Identify and flag duplicate pricing condition records for the same condition type, key combination, and validity period. This is possible as the source is from multiple systems WP2 and PF2	List of duplicate records	WP2/PF2
1034-006	C1	Validate currency consistency	Validate that the currency used in pricing conditions matches the currency allowed for the corresponding sales organization or customer master data.	List of inconsistent currency	WP2/PF2
1034-007	C2	Validate scale data	Identify and correct scale records with inconsistent or overlapping ranges (quantity/value).	List of scale issues	WP2/PF2
1034-008	C1	Validate unit of measure consistency	Validate unit of measure used in pricing conditions aligns with material master base UoM and allowed UoMs.	List of inconsistent UoM records	WP2/PF2

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 Description	Team Responsible
1034-001	Confirm scope and extraction approach for each ECC source systems WP2, PF2 (direct DB or manual extract)	Data Team (L2C), Data Team (Syniti)
1034-002	Establish and validate Syniti connectivity to both ECC source systems	Technical / Basis Team, Data Team (Syniti)
1034-003	Perform full data extraction from relevant SAP pricing tables (e.g., A*, KONH, KONP, etc.) from both source systems WP2, PF2	Data Team (Syniti)
1034-004	Extract pricing condition records via the application layer for additional validations for Manual Data Collection using DCTs	Functional / Data Team (L2C)
1034-005	Apply agreed Relevancy Criteria to filter only applicable condition records for S/4HANA (e.g., active conditions, valid dates, active customers/materials)	Data Team (L2C), Data Team (Syniti)
1034-006	In case of restricted access or connectivity issues, receive pre-extracted pricing reports/files from source system team and upload to Syniti Migrate manually	Data Team (L2C), Data Team (Syniti)
1034-007	Identify pricing data not present in SAP (e.g., special rates, legacy exceptions) and collect manually via DCT (Data Collection Template)	Business Users / Data Team (L2C), Data Team (Syniti)
1034-008	Perform data quality checks on extracted records (e.g., missing key fields, invalid dates, incorrect formats)	Data Team (L2C), Data Team (Syniti)
1034-009	Review and approve extracted data sample sets from each source system before transformation begins	Business / Functional Team
1034-010	Archive raw extracts and maintain extraction audit logs for traceability	Data Team (L2C), Data Team (Syniti) / PMO Team

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 Screen	Parameter Name	Selection Type	Requirement	Value to be entered/set

Data Collection Template (DCT)

A Target Ready Data Collection Template will be created for the required data, except for fields that need transformation as per the defined transformation rules. These templates will follow the format required by the target S/4HANA pricing configuration.

Each template corresponds to a specific condition table structure, designed to handle data based on the key combinations used for one or more condition types. You can identify the correct template based on the condition type and the relevant sales organizations or entities.

Please find the complete list of Data Collection Templates in the link attached below.

DCT-CNV-1034-Pricing Condition Records

Please note, creation of Data collection template must be aligned with pricing configurations for Condition types, Access sequence and Associated Condition Tables.  For now, the following Template is prepared based on Pricing Configurations from S/4HANA Sandbox environment.  This will be replaced once the pricing configuration is ready.

<Object> DCT Rules

Field Name	Field Description	Rule
KSCHL	Condition Type	Mandatory. Must be a valid condition type configured in S/4HANA. Use lookup list provided.
Field List Based on Chosen Access Table / Key Combination (Refer to Full Template List Above)
VKORG	Sales Organization	Mandatory. Must match valid Sales Org values in target system. Only authorized values per scope should be used.
VTWEG	Distribution Channel	Optional based on condition table. Must be valid if provided.
SPART	Division	Optional. Use only if applicable. Validate against S/4HANA master data.
KUNNR	Customer Number	Must be a valid customer number in the S/4HANA master data.
LIFNR	Vendor Number	Use only when condition type applies to vendor. Must match master data.
MATNR	Material Number	Used only for material-based pricing. Should be padded to 18 characters.
WERKS	Plant	Optional. Use only if relevant for the pricing condition.
Mandatory Fields in All DCTs
KBETR	Condition Rate	Mandatory. Should be numeric. Decimal separator should be "." (e.g., 25.50).
KONWA	Currency	Mandatory. Must be a valid ISO currency code (e.g., USD, EUR).
KPEIN	Pricing Unit	Mandatory. Must be numeric and represent number of units (e.g., 1, 1000).
KMEIN	Unit of Measure	Mandatory. Must match valid UOM from SAP (e.g., EA, KG, L).
DATAB	Valid From Date	Mandatory. Format: YYYYMMDD. Cannot be in the past or beyond system date range.
DATBI	Valid To Date	Mandatory. Format: YYYYMMDD. Must be later than Valid From date.

Extraction Dependencies

List the steps that need to occur before extraction can commence

Item #	Step Description	Team Responsible
Not Applicable

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 Description	Team Responsible
1	Identify target S/4HANA fields and determine applicable legacy source fields from both ECC systems WP2, PF2	Functional Team (L2C)+ Data Team (L2C)
2	Review condition types and access tables used in each ECC source systems WP2, PF2	Business Team + Functional Team (L2C)
3	Map legacy field values to S/4HANA target values (including field-level mapping and technical names)	Data Team (L2C), Data Team (Syniti)
4	Define value mapping rules for fields requiring standardization or harmonization across the two source systems WP2, PF2 (i.e., USD, US$ mapped to USD, and ZD01 and ZDISC from ECC system mapped to ZD01 etc.,	Functional Team (L2C)+ Data Team (L2C)
5	Identify and agree on default values where legacy data is incomplete or inconsistent	Business Team + Functional Team (L2C)
6	Configure transformation rules in Syniti Migrate (including calculated fields, formatting rules, etc.)	Data Team (Syniti), Data Team (L2C)
7	Review transformation logic and mappings with Business for confirmation	Business Team + Functional Team (L2C)
8	Perform initial transformation run and generate draft target-ready dataset	Data Team (Syniti),
9	Review draft target-ready data for structure and completeness	Data Team (L2C), Functional Team (L2C)
10	Share transformed data with Business for Pre-load Validation	Business Team
11	Incorporate feedback from Business and refine mappings or transformation logic as needed	Data Team (L2C)
12	Finalize and approve transformed data as Target Ready Load File	Business + Functional (L2C) + Data Team (L2C)
13	Handover final file to Load Team or trigger the load via Syniti Load Workbench	Data Team (Syniti), Data Load Team

Transformation Rules

The source and target tables have the same fields as listed in the key combination.  Please check the attached file for the complete source-to-target field mapping  CNV-1034-Transformation Rules

Rule #	Source system	Condition Type	Source Table	Key Combination (Fields)	Target System	Target Table	Target Condition Type	Target Description	Transformation Logic
1034-001	QF2	BOLL	A764	ALAND / LLAND / VKORG	S/4HANA	A764	BOLL
1034-002	QF2	BOLL	A110	LLAND / VKORG	S/4HANA	A110	BOLL
1034-003	QF2	CTXJ	A604	AUART_SD	S/4HANA	A604	CTXJ
1034-004	QF2	CV	A534	KUNNR / LLAND / SPART / VKBUR / VKORG / VTWEG / ZZPRODH_P3	S/4HANA	A534	CV

Transformation Mapping

Please check the attached file for the complete field to mapping table mapping CNV-1034-Transformation Rules

Field Name	Mapping Table Name	Mapping Table Description
AUART_SD	AUART	Sales Document Types
BUKRS	BUKRS	Company Code
KUNAG	KUNNR	Business Partner - Customer
KUNNR	KUNNR	Business Partner - Customer
KUNRG	KUNNR	Business Partner - Customer
KUNWE	KUNNR	Business Partner - Customer
LGORT	LGORT	Storage Location
MATKL	MATKL	Material Group
MATNR	MATNR	Material Master
PRODH	PRODH	Product Hierarchy
SPART	SPART	Division
VKBUR	VKBUR	Sales Office
VKORG	VKORG	Sales Organization
VKORGAU	VKORG	Sales Organization
VTWEG	VTWEG	Distribution Channel
WERKS	WERKS	Plant

Transformation Dependencies

List the steps that need to occur before transformation can commence

Item #	Step Description	Team Responsible
1	Value Mapping Tables are complete	Functional Team (L2C) + Data Team (L2C)
2	Pricing configuration is complete	Functional Team (L2C) + Data Team (L2C)
3	Org structure configuration is complete	Functional Team (L2C) + Data Team (L2C)
4	Dependent Master Data records for Customer and Material are loaded	Functional Team (L2C) + Data Team (L2C)

Pre-Load Validation

Project Team

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

Completeness

Task	Action
Configuration	Ensure necessary configurations are in place in target system and field mapping is aligned with access sequence, pricing condition types
Review Mapping Table	Ensure all the source organization units are mapped with target values
Check Values	Validate the pre-load data confirming the values are aligned with target system format and
Validate template structure and required field population	Ensure mandatory fields like VKORG, VTWEG, MATNR, KUNNR, KSCHL, valid dates are filled

Accuracy

Task	Action
Review Mapping Table	Ensure all the source organization units are mapped with target values
Check mapping rules against configuration (access sequences, condition tables)	Cross-check mapping sheet with customizing entries in V/03, V/04, V/05, V/08
Set up validation rules based on condition tables and field catalog	Use rule-based validation and lookups against master data (e.g., MARA, KNA1)
Perform format validation (date, currency, decimal separators)	Standardize format to match SAP accepted input (e.g., YYYYMMDD for dates)
Implement logic to detect duplicate condition records	Example: Run duplicate checks using key combinations (e.g., VKORG + MATNR + KUNNR)
Conduct dry runs using LTMC or BAPIs and review logs	Analyze load results and correct format or conversion errors

Business

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

Completeness

Task	Action
Review populated templates for missing or incorrect values	Use checklists to verify completeness and correctness before submission
Ensure all required pricing scenarios are covered	Confirm that customer/material-specific special conditions are not missed

Accuracy

Task	Action
Review condition records for duplicate or conflicting entries	Review for duplicates within key combinations (e.g., customer-material-date)
Validity Period Check	Review validity period of the condition records to ensure pricing coverage
Spot-check high-impact pricing conditions for accuracy	Validate pricing accuracy for key customers and materials

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 Description	Team Responsible
1	Confirm readiness of final approved data sets for each ECC source system WP2 and PF2	Business / Functional Team
2	Validate transformation rules and mappings in Syniti tool	Data Team (L2C-Data)
3	Generate target-ready load files based on S/4HANA condition table format	Data Team (Syniti)
4	Review and approve load files before execution	Business / Functional Team
5	Execute automated data load using Syniti into the S/4HANA system (or generate manual load files if required)	Data Team (Syniti)
6	Monitor load progress and capture load statistics (records loaded, errors, duplicates, etc.)	Data Team (Syniti) / Technical Team
7	Extract loaded data from S/4HANA for post-load validation	Data Team (Syniti)
8	Perform post-load data validation (compare target data with source/approved files) for all loaded pricing condition types	Data Team (L2C-Data)
9	Log and resolve any data load errors or mismatches identified during validation	Data Team (L2C-Data) + Functional Team
10	Obtain business sign-off on successful load and validation	Business Team
11	Archive load logs, error reports, and validation results for audit/compliance	Data Team (L2C-Data) / Data Team (Syniti) / PMO

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
Condition types	Ensure the condition types are assigned with access sequence and condition tables are active for all the key combinations planned for each condition type
Organization Data	Ensure configurations for all the organization units involved in pricing condition records are imported into the target system

Conversion Objects

Object #	Preceding Object Conversion Approach
Business Partner	Business Partner
Material Master	Material Master - Basic View,  Product Hierarchy, Material Group,  Material Group 1 to 5

Error Handling

As part of the sales pricing condition data load from multiple SAP ECC systems to a single S/4HANA instance using the Syniti data migration tool, various data quality, configuration, and technical challenges may arise. These errors typically occur during the transformation, load, and post-load validation phases and can impact the accuracy, completeness, or acceptance of condition records in the target system.

The following table outlines the most commonly observed error types during data load, and the corrective actions typically taken to resolve them. This helps ensure consistency in issue handling, improves traceability during cutover, and supports smooth end-to-end execution of the pricing condition load.

Error Type	Error Description	Action Taken
Invalid Condition Type	Condition type not found or not configured in target S/4HANA system	Validated against configuration; corrected or replaced with valid KSCHL
Missing Key Fields	One or more key fields (e.g., VKORG, MATNR, KUNNR) are blank or incorrectly formatted when required as per the selected Key Combination	Populated missing values; ensured format (e.g., leading zeros for KUNNR/MATNR)
Invalid Date Range	Valid From (DATAB) is after Valid To (DATBI)	Corrected the date range to ensure DATAB < DATBI and in required date format
Duplicate Records	Identical key combinations found more than once in the load file	Duplicates removed or merged as per business rule. Aligned with Business and documented for future loads
Unmapped Values	Values for fields like UoM (KMEIN), Currency (KONWA), etc. not mapped in Syniti	Updated mapping tables; ensured value conversion aligned with S/4HANA settings
Invalid Currency Format	Incorrect currency formatting or unsupported currency code	Standardized to valid ISO currency codes (e.g., USD, EUR, JPY)
Invalid Number Format	KBETR or KPEIN contains special characters or comma separators	Cleaned formatting; ensured decimal values used with '.' as separator
Authorization Errors	Lack of access to execute load in target client/system	Raised access request; obtained necessary authorizations
Condition Table Mismatch	Field structure in load file doesn’t match condition table in target system	Corrected the file structure to align with condition table (A001, A002, etc.)
Transformation Miss	Required transformation logic not applied before load	Re-applied transformation rules and revalidated source-target mapping
Obsolete Master Data	Customer or material master data no longer exists in target system	Replaced or removed based on business input
Technical Load Failure	File not processed due to syntax/format error or system issue	Reviewed logs; regenerated file; re-executed load after resolving issue
Missing Condition Record Dependencies	Dependent records (e.g., access sequences, pricing procedures) not available	Reviewed config dependencies; coordinated with config team for correction

Post-Load Validation

Project Team

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

Completeness

Task	Action
Execute condition record report (e.g., V/LD, PRC_COND_MONITOR)	Run transaction reports to confirm condition records exist as expected
Compare uploaded data against source file values	Use Custom reconciliation tools or Excel based comparison tools to validate the following ensure number of records loaded  meets the load file record volume
Check for load errors or partial loads in AIF or LTMC	Review IDocs, BDC, or Legacy Transfer Migration Cockpit LTMC logs for any failures
Perform technical reconciliation with database tables (e.g., KONH, KONP)	Query SAP tables and match field-level values using SE16N or custom report

Accuracy

Task	Action
Compare uploaded data against source file values	Use Custom reconciliation tools to validate the following Number of records loaded against load file Any mismatch in condition value, unit , validity period against each input record at the KEY combination level Ensure field by field value match across all loaded records
Verify Key Field Values	Ensure values like Condition Type, Material, Customer, Sales Org, Validity Dates, and Rates are correctly populated

Business

The business team plays a vital role in validating the completeness and accuracy of sales pricing condition data loaded into S/4HANA. Their review ensures that key pricing elements such as condition types, customer-material combinations, and validity dates are correctly migrated and aligned with business requirements. This validation helps identify any missing or incorrect records early, supports a smooth cutover, and ensures that pricing processes function correctly from day one in the new system.

Completeness

Task	Action
Participate in Post-Load Walkthroughs	Join scheduled validation sessions with the migration and functional teams
Review Loaded Condition Records	Access the S/4HANA system (via transactions like VK13 or custom reports) to view loaded pricing data
Check for Missing Records	Identify any missing condition records or key combinations that were expected but not loaded

Accuracy

Task	Action
Compare Against Approved Load File	Cross-check data in S/4HANA against the final business-approved load file used for migration
Validate Accuracy of Converted/Transformed Data	Review any transformed fields (e.g., currency conversion, unit mappings) for correctness
Log and Report Discrepancies	Use provided discrepancy log format or defect management tool to report any findings

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