SAP Material Master Data Validation (MARA)

A lightweight Python-based SAP Data Migration validation tool that validates Material Master Basic Data (MARA) before S/4HANA migration. The tool checks common migration issues and generates row-wise validation reports, Good vs Bad record segregation, and Excel summary charts.

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📌 Purpose

During SAP ECC → S/4HANA migrations, source data must be validated before loading into migration templates.

This tool helps migration teams to:

• Validate Material Master Basic Data
• Identify invalid records
• Segregate Good and Bad materials
• Produce migration readiness reports
• Generate Excel validation reports with charts

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📂 Project Structure

sap-material-validation/
│
├── data/
│   └── MARA_export.xlsx
│
├── output/
│   └── MARA_validation_report.xlsx
│
├── validator.py
│
└── README.md

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⚙️ Validation Rules Implemented

Rule 1 – Deletion Flag Materials

Field: Deletion Flag (LVORM)

Validation Logic:

• If material is flagged for deletion, mark the record as Invalid

Error Message:

Material flagged for deletion

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Rule 2 – Invalid Material Type

Field: Material Type (MTART)

Allowed Values:

ROH
HALB

Validation Logic:

• Any material type other than ROH or HALB is invalid

Error Message:

Invalid Material Type (only ROH/HALB allowed)

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Rule 3 – Empty Material Group

Field: Material Group (MATKL)

Validation Logic:

• If Material Group is NULL or Blank
• Mark record as failed

Error Message:

Material group is mandatory

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🧠 Validation Process

Step 1 – Input File

Provide the SAP MARA extract.

Example:

MARA_export.xlsx

The dataset may originate from:

• SAP ECC table MARA
• SAP Data Services extract
• SAP Migration Cockpit preparation files

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Step 2 – Run Validation Script

Execute the Python validation script.

Example:

python validator.py

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Step 3 – Validation Logic Execution

The script performs the following steps:

1. Load Excel dataset
2. Identify key columns
3. Apply validation rules
4. Capture row-wise errors
5. Assign validation status

Each record is marked as:

GOOD
or
BAD

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📊 Output Report

The tool generates an Excel report:

MARA_validation_report.xlsx

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Sheet 1 – Row Validation Report

Contains:

Material	Material Type	Material Group	Validation Status	Error Message

Example:

MATNR	MTART	MATKL	Validation_Status	Error_Message
100001	ROH	001	GOOD
100002	FERT		BAD	Invalid Material Type

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Sheet 2 – Summary

Contains aggregated results:

Category	Count
GOOD	44
BAD	456

Includes a Pie Chart showing:

Good vs Bad Records

This helps migration teams quickly understand data readiness.

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📈 Benefits for SAP Data Migration

This validation tool helps:

• Reduce migration errors
• Improve data quality
• Identify cleanup effort
• Provide migration readiness reports

Useful for:

• SAP Data Migration Teams
• SAP Data Governance Teams
• SAP S/4HANA Conversion Projects

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🧩 Future Enhancements

Additional validations can be easily added:

Examples:

Material Number Validation

Material should contain only numeric values

Duplicate Material Check

MATNR duplicates detection

SAP Date Validation

Check fields like:

ERSDA
LAEDA

Decimal Checks

Validate numeric fields for:

Incorrect decimal format

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🛠 Technology Used

• Python
• Pandas
• OpenPyXL
• Excel Charts

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🚀 Example Use Case

SAP Migration Team extracts MARA table from ECC

↓

Run validation tool

↓

Tool generates Validation Report

↓

Clean bad records

↓

Proceed with S/4HANA Migration Cockpit

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📄 License

MIT License

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👨‍💻 Author

SAP Data Migration Specialist Focus Areas:

• SAP Data Migration
• Data Validation
• SAP ECC → S/4HANA Conversion
• Migration Data Quality