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    Pharma companies now know it’s not enough to simply gather data — the ultimate goal is to analyze and translate that data into actionable information. Our coverage helps show how raw data collection, storage and analysis can benefit a pharma company’s process and bottom line.

    Articles

    To prioritize data integrity in the lab, companies must implement good data practices throughout the R&D process
    Built-in ability to meet data integrity standards should be a central focus when selecting control systems and manufacturing execution systems for pharma manufacturing
    The challenges are surmountable — and worth taking on to help build advantages
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    A layered defense-in-depth approach is the best way to handle pharmaceutical manufacturing data security
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    Implementing a robust compliant approach rather than a ‘technology first’ mindset can help ensure data integrity

    News

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    How integrated batch reporting can help manufacturers identify non-conformance parameters and aid process improvement
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    How pharma can build better facilities by leveraging digital information
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    Advanced digital thread and technology transfer capabilities can help pharma improve its processes
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    Three priorities for re-strategizing digital transformation post-COVID
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    Connected manufacturing environments have vastly improved operational efficiency in recent years, enabling companies to optimize production scheduling to increase capacity and...
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    CPV is required for regulatory compliance but can also provide process improvements
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    With the use of self-service analytics, process engineers have full control over COVID-19 vaccine production and quality
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    Advanced analytics speed time to insight, increasing return on investment
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    Unveiling this year's winners
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    Strategic cloud deployment is critical to achieving business and operational result