Purpose

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

Conversion Scope

Material Master - PPDS Views are now used to make some of the Planning activities in both systems (PF2 & WP2). Most of the materials used in the planning process have these views updated, as they contain relevant information about the planning process. The aim is to get the conversion into S4 HANA in a standard way, so it can be used in the new planning processes already defined by the functional team and validated with the business.

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. As this is a new view a complete new DCT will be needed, as NO migration data on Scope.

We need to create a NEW Layout to fill in for the new data per material / Plant combination

The data from legacy system may include:

1. As per materials, the rule for this view will follow the rules for the CNV-2019 CNV-2019 Materials - Basic Data View 
   
   
2. Additional to this, the following criteria needs to be followed to create the view: All Direct materials as MRP type X0, will need to have PPDS view and the data to complete the design process in Syensqo.
3. All ZMAT materials and Z700 will be called in S4HANA ZDIR. These material types will be the ones to have PPDS View. 

The data from legacy system excludes:

1. All materials flagged for deletion
2. Any blocked or obsolete materials
3. Any inactive materials that are out of scope

The data from legacy system includes:

1. N/A
2. N/A

The data from legacy system excludes:

Additional Information

Multi-language Requirement

System Multi-language standard definition

Document Management

N/A

Legal Requirement

N/A

Special Requirements

N/A

N/A

Target Design

Fields in Scope for PPDS view

The technical design of the target for this conversion approach.

Data Cleansing

No Data to clean as this is a new view in the Materials

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)

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