Purpose

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

Facilities are borrowing arrangements with either one or multiple banks. If we have a long term borrowing facility with one bank its called as Bi-Lateral Facility. Under this facility you, can define the fund requirements and the Bank will ear mark these funds to be drawn at a certain interval. If this facility is with multiple banks its called as Syndicate Facility. In a Syndicate there is normally a Lead Banker who will arrange the lending commitment from other lenders and will also have a Lead Banker charges.

These instruments are created under a certain Product Type (Instrument Number) and a Transaction Type (Kind of action i.e. buying or selling) against a counterparty (BP Number) in a Company Code.

Conversion Scope

The scope of this document covers the approach for converting active Facilities from Legacy Source System (Quantum) into S/4HANA.

The relevancy criteria is not applicable for this object as the relevant data will be provided by business in a DCT (Data Collection Template).

List of source systems and approximate number of records

Additional Information

Multi-language Requirement

Document Management

Legal Requirement

Special Requirements

As the conversion involves a source system which is non-SAP, the below area needs special handling:

1. Extraction of CP data from source system i.e. Quantum is to be done manually
2. Cleansing by business team in the source system (Quantum) to ensure that only active and in use records for CP’s are provided in DCT
3. The extracted records to be converted into a DCT and stored in the Syniti for Transformation
4. Below Configuration Check Tables needs to be referenced in Syniti to validate the data in the DCT:
1. Counterparty to Business Partner - BUT100
2. Company Code - T001
3. Product Type - TZPA
4. Transaction Type -  AT10
5. Trader - TZDEA
6. Portfolio Code - TWPOB  
7. General Valuation Class - TRGC_COM_VALCL
8. Interest Calculation Method - Custom Check Table with Value Fields given in the below CNV
5. Amount and date format from source system to align with S4HANA 
6. As the target structure in S4HANA involves dependency on various Configuration and BP Master Data objects (CNV 3040), all this data needs to be loaded before Transactions Data loads.

Custom Check Tables for Interest Calculation (VTBFHA - SZBMETH)  Method and Frequency are as under:

Interest Calculation Method:

Update Rule:

Target Design

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)

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