Refreshing SAP test systems with fresh productive data

Besides the productive systems, SAP® landscapes consist of but also quality assurance (QA), testing and other staging systems, usually. For the appropriate and consistent test and release management of changes, SAP recommends using the “Homogeneous System Copy” a specific procedure to provide non-productive systems with up-to-date data.

Typically, this procedure asks for a large number of manual activities that can take hours or even days, depending on the structure and size of the systems. And if these environment interface several connected systems, these times add up – as part of a landscape copy – to really painful downtimes. There is “the right time” for this: never. In addition to the unavailability of target systems for operations and project teams, system and landscape copies block other, important and at least expensive resources: internal or external SAP Basis Professionals.

Libelle SystemCopy (LSC) is a software solution for end-to-end automated and optimized execution of SAP system and landscape copies. With the proverbial push of a button, QA and test systems are updated with fresh production data. Libelle SystemCopy supports all common databases and operating systems, offers its own copy mechanisms for all platforms, but also integrates backup / restore methods or storage tools.

Also read more about the background of the LSC:

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With the EU General Data Protection Regulation (GDPR) coming into effect, however, the issue of data protection and data anonymization is also becoming more and more of a focus of interest. The basic regulation defines a European minimum standard in the area of ​​data protection, which can be further strengthened regionally. This affects the handling of sensitive data in companies and, in particular, also those IT environments in which access to potentially sensitive data has lower barriers: the non-productive test and development systems.To adequately address the real threat of unintentional data access or even data outflow, the ordinance stipulates pseudonymization for according databases (Article 4.5). However, pseudonymization is per se reversible and allows a conclusion to original data. A further step towards irreversibility is the anonymization of databases.

Regardless of the way a company chooses to meet the objective of test systems, logical contexts should also be taken into account in pseudonymized or anonymized databases. Otherwise, statements about the process quality, consistency, and logical correctness of business processes are only semi-reliable.

Libelle DataMasking (LDM) allows exactly this type of anonymization of critical data in non-productive systems, taking into account logical relationships. LDM can be used universally and independently of the application software, for individual systems and complete system landscapes. The result is anonymized, consistent data for development and testing of software and business processes across all platforms. The anonymization methods used result in realistic, logically correct values ​​with which almost all business cases can be described and tested. Libelle DataMasking supports holistic and cross-system databases in both SAP and non-SAP environements, and heterogeneous (mixed) application landscapes.

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