Intelligently alter or remove sensitive data

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Data Redact

Data Redact
part of the Data Privacy Suite for SAP solutions

Data Redact™ is our unique Fiori app which has been specifically developed to address the Right to be Forgotten challenge as outlined in GDPR (the General Data Protection Regulation) and other data privacy regulations around the world. As part of our Data Privacy Suite for SAP, it quickly and seamlessly redacts field data without affecting referential integrity. This means the data can no longer be identified and linked to a specific individual, but business reporting and referential integrity are unaffected.

By redacting fields which are sensitive, or can be used to identify the natural person, the rest of the data can be retained, which drastically lowers the impact on reporting and the risk of adverse effects on other business processes or other areas of SAP, such as related CRM systems.

For many organisations, the ability to enforce a retention period on data for ex-employees is very important, and typically driven by the same 'leave date' criteria. The Leaver Report in Data Redact allows employees to be automatically selected for Redact submission, based on the number of days since they left the organisation.

Artboard 1 copy 194-2Tackling the Right to be Forgotten
with Data Redact

As the data is effectively removed for identification purposes, you can easily and
cost-effectively comply with the legislation and the individual’s Right to be Forgotten. Once a record has been redacted, there is no link back to who the natural person was, and any field which in itself is also sensitive is also redacted. From that point onwards the record has been fully anonymised.

Some existing SAP solutions attempt to address this challenge by blocking access
for processing, or perpetual archiving, neither of which are ideal solutions in this scenario. 

SAP Data Privacy suite

Learn about Data Secure
Learn about Data Disclose
Learn about Data Redact
Learn about Data Retain


Why Data Redact?

Article 17 of the GDPR dictates that individuals have the Right to Erasure (Right to be Forgotten); the right to have personal data erased and to prevent processing in some specific circumstances. Data Redact allows you to remove the sensitive or identifying data without removing the entire record. This makes the process simpler and less invasive. The data is effectively submitted for redaction so the data cannot be identified. Data Redact reactively addresses the Right to be Forgotten.

For more information, please schedule a discovery session, watch our on-demand webinars or learn more about our Data Removal and Data Privacy consulting services.



DSM for IS-U

Content pending

DSM For Oil & Gas

Content pending

DSM for Public Sector

EPI-USE Labs works with a great number of public sector organizations, and has specific capability to handle test data management needs for organizations in this sector. Object Sync seamlessly manages multiple employment contracts, and Grants Management and Funds Management have dedicated objects for copying test data on demand for those complex testing situations.

DSM for Bank Analyser

Organizations leveraging the Bank Analyzer solution from SAP can now carry out lean system refreshes with Client Sync on the Bank Analyzer system whenever the backend system is being refreshed. The post-processing in Client Sync automates around two days of manual effort normally required after a system copy for Bank Analyzer test systems.

DSM for Insurance

DSM contains specific objects and functionality for the Insurance industry, including the ability to copy FSCD data on-demand for a specific Business Partner or Contract Account. ICM and Claims Management data is also covered.

DSM for Retail

For over ten years, DSM has catered for the demanding needs of the Retail sector for test data on demand and lean testing client provisioning. Complex document flows are supported out of the box, with the ability to extend for non-standard configuration. Challenging data to recreate for testing can easily be replicated, including site data, article hierarchies, listings and assortment modules.