Status
Owner	PUN-ext, Eddy
Stakeholders	WELENSKY-ext, Dave ERGUIZA-ext, Pinky Love Ines Vilares; LEIGHTON-ext, Dean Betty Yue; Aurelia Stefanescu ; [Syniti POD Lead]; [Syniti Consultant]

Purpose

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

A Catalog Profile is used to determine which catalogs and code groups from the individual catalogs are to be accessed by the system for maintenance notifications.

Syensqo utilizes Catalog Profile within the SAP S/4HANA system to define and manage its technical object catalogs (Object Type, Cause, Action, Failure mode and Task).

Conversion Scope

The scope of this document covers the approach for migrating active Catalog Profile into S/4 HANA following the Catalog Profile Master Data Design Standard.

The conversion of Catalog Profile follows the endorsed EAM Core Data Design describing the Asset Identification Methodology.

Catalog Profile Data from legacy will consolidated based on the S/4 HANA design and will be constructed via a common DCT which is target ready. This also means multiple GBU could be using the same Catalog Profile based on the Asset Identification Methodology.

There will not be a direct conversion from legacy to S/4 HANA, however there will be a mapping to ensure all the valid and active legacy Catalog Profiles are considered for data migration. 

The data from legacy system includes:

1. All Catalog Profiles that are mapped to S/4 HANA Catalog Profiles

The data from legacy system excludes:

1. All Catalog Profiles that are not mapped to S/4 HANA Catalog Profiles

For reference, the Catalog Profiles in S/4 HANA are not transformed based on the legacy mapping, but they are derived based on the logic of the Asset Identification Methodology.

List of source systems and approximate number of records

Source	Scope	Source Approx No. of Records	Target System	Target Approx No. of Records
PF2, WP2	Catalog Profile will be collected via DCT. An initial extract of the relevant Catalog Profiles will be provided in google sheet format to assist business in decision making on including any relevant Catalog Profiles from PF2 and WP2 as Catalog Profile in S/4 HANA. Any additional Catalog Profiles that need to be created to support the new design may be added in the DCT. A review and standardization will be done across all Catalog Profiles in the DCT.  Please see an indication of what will be baselined from source systems below and what will be constructed in the DCT.	500	S/4 HANA	500

Additional Information

Multi-language Requirement

Catalog Profile description will be made available in English.

Multi language is supported for Catalog Profile. Login via a different language will have its description displayed in the logon language if the language key is maintained in the Catalog Profile.

Document Management

Not Applicable

Legal Requirement

Not Applicable

Special Requirements

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
T352C	RBNR	RBNR	Catalog Profile	CHAR	9	Mandatory
T352B_T	SPRAS	SPRAS	Language Key	LANG	1	Mandatory
T352B_T	RBNRX	RBNRX	Catalog Profile Text	CHAR	30	Mandatory
T352C	QKATART	QKATART	Catalog	CHAR	1	Mandatory
T352C	QCODEGRP	QCODEGRPSEARCHPATTERN	Search Pattern for Code Group/Selected Set	CHAR	8	Mandatory

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
1008-001	C1	Invalid or Inactive Catalog Code Groups & Codes linked to Catalog Profile	Catalog Profile as per Relevancy Criteria assigned with a Catalog Code Groups & Codes which does not belong below: 1. Catalog Code Groups & Codes as per Relevancy Criteria	All key fields	PF2, WP2
1008-002	C3	Duplicate Catalog Profile by Description	Catalog Profile as per Relevancy Criteria where the Catalog Profile Description is used by more than one Catalog Profile.	All key fields	PF2, WP2
1008-003	C1	Missing Catalog Profile Descriptions	Catalog Profile as per Relevancy Criteria where there are blank Catalog Profile Descriptions.	All key fields	PF2, WP2
1008-004	C2	Catalog Profile Descriptions with Informal Words	Catalog Profile as per Relevancy Criteria which contain [Informal Words] in the Catalog Profile Description	All key fields	PF2, WP2
1008-005	C1	Company Code incorrect.	Catalog Profile as per Relevancy Criteria with Invalid Company Code (T001)	All key fields	PF2, WP2
1008-006	C1	Plant incorrect.	Catalog Profile as per Relevancy Criteria with Invalid Plant (T001W)	All key fields	PF2, WP2
1008-007	C1	Incorrect Company Code / Plant Combination	Catalog Profile as per Relevancy Criteria with Invalid ompany Code / Plant Combination (T001K)	All key fields	PF2, WP2
1008-008	C1	Inspection catalog type ind incorrect.	Catalog Profile as per Relevancy Criteria with Invalid Inspection catalog type ind (TQ15)	All key fields	PF2, WP2
1008-009	C1	Legacy Catalog Profile which are not mapped	Legacy Catalog Profiles which do not have a mapped S/4 HANA values	All key fields	PF2, WP2

Conversion Process

Summarize High-Level Process. Include diagrams, where applicable. Include information supporting details of Extract, Transform and Load specific to the Data Object

The following represents the high-level process for DCT:

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

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)

Target Ready Data Collection Template will be created for Data Object data with exception of some fields which require transformation as mentioned in the transformation rule.

Catalog Profile DCT Rules

Field Name	Field Description	Rule
RBNR	Catalog Profile
SPRAS	Language Key
RBNRX	Catalog Profile Text
QKATART	Catalog
QCODEGRP	Search Pattern for Code Group/Selected Set
MSGTP	Message Type

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	Ensure all mapping tables are up to date.	Syniti
2	In dspMigrate, select the wave –R3 S4/HANA – Plant Maintenance	Syniti
3	Go to Process Area Launch and Process the Object – Catalog Profile	Syniti
4	Review and Validate Error and Preload Reports	Syniti
5	Execute the transformation to prepare the target tables	Syniti
6	Validate data from pre-load and invalid reports by region	Business/Data owner
7	Generate export(load) file (If load tool is not dspIntergrate)	Data Team

Transformation Rules

Rule #	Source system	Source Table	Source Field	Source Description	Target System	Target Table	Target Field	Target Description	Transformation Logic

Transformation Mapping

Use the exact name and reference this section in the “Transformation rules” above

Mapping Table Name	Mapping Table Description
	Mapping of legacy Catalog Profile to S/4 HANA Catalog Profile.

Transformation Dependencies

List the steps that need to occur before transformation can commence

Item #	Step Description	Team Responsible

Pre-Load Validation

Project Team

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

Completeness

Task	Action
Verify Record Count	Data team to verify that the total number of relevant records from the source systems is equal to the total number of records in the Preload and Load Sheets.

Accuracy

Task	Action
Conversion Accuracy	Data team to verify that all fields below meet pass the checks: 1. Mandatory Fields 2. Field and Value Mapping Correctness 3. Null Checks 4. Text Length Checks
Review error reports	Review and correct the errors.  Achieve a zero-error record count as much as possible. Raise defects for data remediated and requiring a correction in the source data.

Business

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

Completeness

Task	Action
Verify Record Count	Business team to verify that the total number of relevant records from the source systems is equal to the total number of records in the Preload and Load Sheets.

Accuracy

Task	Action
Conversion Accuracy	Business  to verify that all the data in the load table/file is accurate as per endorsed transformation/mapping rules (and signed-off data)

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

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
1	Language Key

Conversion Objects

Object #	Preceding Object Conversion Approach
1007	Catalog Code Groups & Codes

Error Handling

The table below depicts some possible system errors for this data object during data load. All data load error is to be logged as defect and managed within the Defect Management

Error Type	Error Description	Action Taken

Post-Load Validation

Project Team

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

Completeness

Task	Action
Verify Count	Data team to verify the record count created in target S/4 HANA by accessing post load reports in dspMigrate or standard reports from S/4 HANA.
Verify Logs	Check if there is data that failed to load and perform the necessary actions (e.g. register as post load issue, or attempt to load the record again, etc.).

Accuracy

Task	Action
Conversion Accuracy	Data team to verify that the Measuring Point data in target S/4 HANA were loaded correctly via dspMigrate post load reports or standard reports from S/4 HANA.

Business

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

Completeness

Task	Action
Verify Count	Download Post Load Reports from dspMigrate and verify that the record count loaded in the target S/4 HANA is the same count as of the endorsed load file.

Accuracy

Task	Action
Conversion Accuracy	Verify that the Measuring Point data in target S/4 HANA were loaded correctly via dspMigrate post load reports or standard reports from S/4 HANA.

Key Assumptions

• Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
• Catalog Profile is in scope based on data design and any exception requested by business.
• Data cleansing has met the required percentage threshold for the specified mock cycle and all preparation activities have been completed.

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