20240013231. SYSTEM AND METHOD FOR DATA VALIDATION RULE SIMULATION simplified abstract (SAP SE)

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SYSTEM AND METHOD FOR DATA VALIDATION RULE SIMULATION

Organization Name

SAP SE

Inventor(s)

Kefeng Wang of Wiesloch (DE)

Marcus Galleck of Oftersheim (DE)

SYSTEM AND METHOD FOR DATA VALIDATION RULE SIMULATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240013231 titled 'SYSTEM AND METHOD FOR DATA VALIDATION RULE SIMULATION

Simplified Explanation

The abstract of this patent application describes a system that manages electronic records in a data repository and performs data validation on these records. Here is a simplified explanation of the abstract:

  • The data repository contains electronic records with unique identifiers and associated characteristics.
  • A data validation rule data store stores active data validation rules.
  • A data validation server accesses the active data validation rule from the data store.
  • Users can adjust the active data validation rule to create an inactive data validation rule.
  • The server can also receive filter conditions to define a subset of records in the data repository.
  • The server can simulate the execution of both the active and inactive data validation rules on the subset of records.
  • The results of the simulations are displayed to the user.

Potential applications of this technology:

  • Data management systems: This technology can be used in various industries that deal with large amounts of electronic records, such as healthcare, finance, or government, to ensure the validity of the data.
  • Quality control: It can be applied in manufacturing or production processes to validate the characteristics of products or components.
  • Compliance monitoring: The system can help organizations ensure compliance with regulations or standards by validating data against specific rules.

Problems solved by this technology:

  • Data validation efficiency: The system automates the execution of data validation rules, saving time and effort compared to manual validation processes.
  • Accuracy and consistency: By simulating the execution of rules on a subset of records, the system can identify any inconsistencies or errors in the data.
  • Rule customization: Users can adjust the active rule to create an inactive rule, allowing for flexibility in data validation requirements.

Benefits of this technology:

  • Improved data integrity: By validating records against predefined rules, the system helps maintain accurate and reliable data.
  • Time and cost savings: Automation of data validation processes reduces the need for manual intervention, saving time and resources.
  • Customizability: Users can adjust the active rule and define filter conditions to tailor the data validation process to their specific needs.


Original Abstract Submitted

a data repository may contain electronic records, each electronic record including a record identifier and a set of record characteristics. a data validation rule data store may contain at least one active data validation rule. a data validation server may access the active data validation rule from the data validation rule data store. the server receives an adjustment to the active data validation rule from a user to create an inactive data validation rule. the server may also receive at least one filter condition defining a subset of the electronic records in the data repository. the server can then automatically simulate execution of the active data validation rule on record characteristics of the subset to obtain an active result and automatically simulate execution of the inactive data validation rule to obtain an inactive result. the system then displays the active result and the inactive result to the user.

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