Case Study

Data-Driven Quality Control

Data-Driven Quality Control

THE CASE FOR THE TETRA SCIENTIFIC DATA CLOUD Measure what matters: Chromatography data presents interesting challenges for modern life sciences organizations: Millions of samples are manually processed each year across the pharmaceutical industry. The technique underlies every step of pharmaceutical production, from research leads through post-clinical manufacturing lots. Despite its central place in the discovery landscape, chromatography suffers from a fundamental limitation: You can’t easily aggregate data across multiple runs or across your diverse in-house instrumentation. Manual report creation and conversions between data formats are still the norm. SUCCESS METRICS Data-Driven Quality Control CASE STUDY Corporate Headquaters | 177 Huntington Avenue, Suite 1703, Boston, MA 02

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