Harnessing the full potential of data in pharmaceutical manufacturing can be complex for life sciences companies. Challenges include connecting systems, comparing data from sites with different systems, managing the volume, variety, and quality of information, overcoming data silos, and legacy technology. These all exacerbate interoperability, ...
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