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Many Biotech and Life Science companies experience similar problems
transitioning from the "exploration" phase to the production
phase of their business.
Do any of these problems sound familiar?
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Scientists love data, but they're not great
at managing it (storing, moving, integrating, connecting) |
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The volume and complexity of data
rapidly increases with business volume. The scientists eyes
are bleeding from Excel. |
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As business volumes increase, so does the
level of automated equipment to support it.
Each piece of equipment has it's own means for importing, processing,
and exporting data. |
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Many companies need to make the transition
from flexible exploratory experimentation to more disciplined
execution of Standard Operating Procedures (SOPs), with quality
control feedback. |
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Many early/mid stage companies don't have
IT staff that have been through the production ramp from low volume,
to higher volume. |
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