Intelligent data management and dependable data integrity together with reliable test results build the foundation for successful and future oriented testing.
- Modern data management provides the necessary situation-appropriate laboratory workflow parameters. The test / system data obtained can be used effectively by authorized personnel for analysis, processing, and archiving in support of innovative services.
- Data integrity relies on the various dimensions of traceability, providing both internal and external customers/auditors with not only the where and how, but also the what, when, why, and who of data, ultimately protecting it against tampering by unauthorized persons during processing, transfer and saving.
- At testXpo 2019, practical hands-on scenarios present how modern data management and data integrity are implemented at ZwickRoell and how our customers can effectively meet the increasing demands in this area.