Mission & Values

Information technology is changing the world around us.  The only thing growing faster than the volumes and complexities of scientific data is potential for it to improve the world we live in.  At Lifescale Analytics, we work with organizations that are committed to improving lives and the world we live in. By helping maximize the value of their research data, we enable them to be more efficient, innovative, and focused on what they do best.


We improved a distressed data platform for a major seed research company and now it functions 10x6 faster.
That's a million times.
It's impressive -- but what really matters is that people will get food faster.

Our Mission

To be the trusted source for life science organizations when they need to maximize the value of information assets to enable research innovation, increase efficiency, and ultimately improve the time that ideas in the lab come to life. 

Our Values

At Lifescale Analytics, we strive to:

  • be excellent, not average

  • embrace differences through collaboration - we value ourselves and others

  • remember that teamwork builds success

  • foster growth in ourselves and others

  • enjoy what we do and do what we enjoy

Everyday.

 
5 Reasons Why Bio-research Firms Should Invest In Data Analytics

There is no shortage of “good” investments for a bioscience business; robotic microscopy systems to accelerate lab workflows, a new cell culture bioreactor, upgraded lighting systems to save energy, safety training for plant employees or recruiting that world class domain expert to drive your genetics research program. With so many worthy investments competing for limited resources, why should you invest in your data analysis capabilities?

This Leadership Brief offers five reasons that you should consider an investment in data analytics to improve your bio-research business.



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CONTACT: Headquarters: 6200 Shingle Creek Parkway, Suite 580, Minneapolis, MN 55430
Minnesota: (763) 585-5870  |  North Carolina: 
(919) 251-6945  |  send us an email




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