Purpose

The purpose of this document is to define the conversion approach to create Materials - Sales view with sales long text in S/4 HANA.

Conversion Scope

The scope of this document covers the approach for converting active Material Master Sales View including the sales long text from Legacy Source Systems into S/4 HANA following the Material Sales View Master Data Design Standard. 

From the current system landscape, Material Master data exists separately in the legacy systems (WP2 and PF2), with potential discrepancies in both organizations. Harmonization and validation are required to ensure accurate and consolidated data in S/4HANA. While WP2 and PF2 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. Material without sales view block: X-distr.chain status OR DChain-spec. status are blank AND Material has sales transactions within the sales organizations in scope for the last 5 years, e.g. sales order, delivery or billing.
2. Or Material without sales view block: X-distr.chain status OR DChain-spec. status are blank AND Material does not have sales transactions within the sales organizations in scope for the last 5 years, e.g. sales order, delivery or billing AND Material has stock within the sales organization in scope.

The data from legacy system excludes:

1. Material with sales view block: X-distr.chain status OR DChain-spec. status are not blank

Additional Information

Multi-language Requirement

The material description may need to be printed in non-English. Hence, material masters - sales long text will also need to support the multi-language.  Below languages (International versions and keys) are supported:

Check WP2/ PF2 if all already covered

Check with Syniti team if use international version or language key

Document Management

Legal Requirement

Special Requirements

Target Design

Materials - Sales View with Sales Long Text Data strictly adheres to the Master Data Standard. The complete information of the key fields that hold the Materials - Sales View with Sales Long Text information follows the Master Data Standard document.

The technical design of the target for this conversion approach.

Data Cleansing

Conversion Process

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

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

Selection Screen

Data Collection Template (DCT)

Materials - Sales view with sales long text DCT Rules

Extraction Dependencies

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

Transformation Rules

Transformation Mapping

Transformation Dependencies

Pre-Load Validation

Project Team

Completeness

Accuracy

Business

Completeness

Accuracy

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

Load Phase and Dependencies

Configuration

Conversion Objects

Error Handling

Post-Load Validation

Project Team

Completeness

Accuracy

Business

Completeness

Accuracy

Key Assumptions

• Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
• is in scope based on data design and any exception requested by business.

See also

Change log

Workflow history