Virtustream Announces Data Slicing and Masking Services for SAP

Virtustream, an enterprise-class cloud company and Dell Technologies business, announced Data Slicing and Masking Services for SAP today, helping customers automate, copy and secure data in non-production environments. These services help improve test data quality while reducing existing system footprints and mitigating risk and compliance across the entire IT environment.

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Enterprises across the globe are looking for ways to lower hardware and operational costs while shortening development cycles. However, the limited flexibility and customization of their current refresh procedures, combined with the inability to timely refresh data in development systems, restricts their data choices. As a result, their infrastructure footprint, overall costs, and risk of data protection violations remains the same.

Virtustream’s new Data Slicing and Masking Services for SAP solve these challenges through a full, end-to-end software implementation that delivers flexible data extraction, copy reduction, and masking and scrambling capabilities. Through these services, customers can easily create non-production datasets using only the data they need, reducing their overall data footprint and, consequently, their costs. With the help of Virtustream’s SAP specialists, these expert services ensure fresh testing data is safer, more reliable and available faster.

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Improve Agility with a Software-Enabled, All-in-One Solution

Virtustream’s new Data Slicing and Masking Services for SAP deliver a software-enabled, functional- and security-aware solution with full lifecycle management for SAP application test data, including implementation, support and infrastructure requirements. The all-in-one services provide:

1. Rapid Refresh of Non-Production Data: Simplified and automated data refresh, with the option to copy full or select content into a single or multi-client SAP system. Additionally, this refresh preserves existing cross-client (default) and client-specific (optional) configurations on the target system.
2. Reduce and Slice Data: Significantly shrinks the size of data in non-production systems and allows for flexible data extraction for specific test cases or troubleshooting, such as selecting data by time or business object.
3. Masks Data in Non-Production Systems: Anonymizes and scrambles sensitive personal data to help organizations meet government regulatory compliance requirements, such as GDPR and other data privacy policies.

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