ERP Master Data Migration Using Database-Layer SQL Automation

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Solution Overview

Problem

The process of migrating Enterprise Resource Planning (ERP) master data to a target database, such as S/4HANA, is complex and time-consuming, especially when dealing with large volumes of data, and often requires significant manual intervention and can cause downtime during business operations.

Innovation Solution

The use of Advanced SQL Scripting (AMDP) at the database layer for extracting, validating, mapping, and inserting ERP master data, including customer, vendor, and contact person data, while automating the maintenance of customizing data to ensure data integrity and accuracy, minimizing manual intervention, and performing migrations without causing downtime.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional data migration methods are used, then data can be migrated, but the process is complex and time-consuming requiring significant manual intervention and causing downtime

Engineering Contradiction:
Improvemigration speedVSAvoidmigration process complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical data migration processes with automated database layer operations. SQL scripts execute directly at the database level to extract, validate, map, and insert data, eliminating the need for manual intervention and reducing process complexity while maintaining high migration speed

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent performs preliminary validation of data at the database layer before migration occurs. By checking data integrity and accuracy in advance, the system prevents errors during migration and reduces the need for post-migration corrections, thereby simplifying the overall process

Inventive Principle:
Principle #10Preliminary action

2Extent of automation

If data migration is performed, then data can be transferred, but manual intervention is required and downtime occurs

Engineering Contradiction:
Improveautomation levelVSAvoidmigration downtime
Core Design Contradiction:
Extent of automationVSLoss of time

Solution Approach 1:

The patent implements self-service automation where the system automatically extracts, validates, maps, and inserts data without human intervention. SQL scripts are executed autonomously at the database layer, and the system automatically handles error logging and configuration maintenance, eliminating downtime and manual labor

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent enables continuous data migration operations that can run without interrupting business processes. By performing validation and migration at the database layer, the system maintains continuous data flow and eliminates the need for scheduled downtime, ensuring uninterrupted operations

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If validation is performed at application layer, then data can be checked, but performance is reduced compared to database layer validation

Engineering Contradiction:
Improvedata integrityVSAvoidvalidation performance
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent substitutes application layer validation with database layer validation using SQL scripts. This replacement moves the validation mechanism to the more efficient database level, maintaining data integrity while significantly improving validation performance through direct database operations

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12373406B2Efficient data migration in enterprise resource planning systems
Publication Date: 2025.07.29 SAP SE
  • US12373406B2 patent drawing
  • US12373406B2 patent drawing
  • US12373406B2 patent drawing

AI summary

A system for migrating master data to a target system, comprising: at least one data processor; and at least one memory result in operations comprising: extracting the master data from a source database; validating the extracted master data at a database layer; mapping the validated master data to the target database specific datasets, and inserting the mapped master data into a target database, wherein the extraction, validation, mapping, and insertion are performed at the database layer.