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The Data-Analysis Cycle

We've all done it - without even knowing what it is.  It's an innate part of how the human mind works.

You try something, you assess the results, you modify your approach based on a theory and try it again.  It's the very fundamentals behind the scientific process.  The trouble is, it can take time.

Our goal is to shorten the data-analysis cycle such that an investigator can rapidly sort and group their dataset and analyze parameters one after the other, to hone in on meaningful data.  Less time, less money, faster publications.

Another benefit of this semi-automated process is that the investigator can analyze far larger datasets than they might sensibly manage manually.  Larger datasets mean a greater sensitivity to detect subtle but meaningful differences.