All for One Test Data Anonymizer
Anonymization of sensitive data in SAP test systems
All for One Test Data Anonymizer is a solution for anonymizing and selectively deleting sensitive data in SAP test systems, pulled out from production systems. The solution addresses two key needs of organizations performing functional, technical or integration tests in their SAP projects. It helps to protect business-critical data and to reduce the GDPR-related risks associated with personal data.
Delivery model and supported SAP systems
Test Data Anonymizer is offered by All for One Poland as a product combined with an implementation service. We deliver the solution with a clearly defined scope and fast implementation approach.
Our product is designed for SAP systems: S/4HANA Cloud Private; S/4HANA on-prem; SAP ECC/ERP version 6.0 or higher.
Scope of data anonymization in SAP test systems
The product is not limited to the anonymization of personal data, but also supports the protection of sensitive business data in SAP test systems.
The anonymization scope may include, among others:
- HR employee data (names, employee numbers, addresses, salaries)
- SAP user and address data (usernames, e-mail addresses, address fields)
- business partner data (names, addresses, tax and bank account numbers)
- financial and payroll-related data in FI documents
- pricing, discounts and condition data in SD documents and condition tables
- material master data (material names and numbers)
- selected controlling data (e.g. CO-PA value fields)
Project scenarios for All for One Test Data Anonymizer
The product is most commonly used for:
- refreshing SAP test systems with productive data
- preparing SAP test systems for functional, technical or integration testing
- securing SAP test systems against exposure of sensitive and business-critical data
- for projects where SAP TDMS or other anonymization tools are not available
These scenarios are often part of transformations of SAP environments, such as: migrations to S/4HANA, mergers, carve-outs, business reorganisations, harmonizations, carve-outs, data migrations.