Entropy is a measure of the uniformity of the distribution of energy.

See below reflection on this term.

Could this be valuable to the analysis of a enterprises information state?

A measure like Information Entropy could suggest:

– ”the measure of the uniformity of the distribution of information”.

– ”measures the dispersal of information: how much information is spread out in a particular process, or how widely spread out it becomes”.

Strikes me that we could describe Business Logic Entropy as well…

Should get this into experimentation as soon as possible.

Reflection (quoted from chemistry student blog)

In second-semester college chemistry, just this year, I learned about the concept of entropy. Entropy, I was told, measures the tendency of a system to fall into disorder. And that’s probably what my instructor – a caring, competent, and well-educated person — thought correct, no doubt because that was what he himself learned as a college student. Entropy, we learned, is a measure of chaos.

This is a familiar concept, since culturally we speak of messiness (messy desks, messy rooms) as demonstrations of an increase in entropy.

I was completely fascinated by the concept of entropy, and had to learn more. I looked it up on the internet, and was most surprised by what I found. My teacher, along with generations of other scientists and educators, had been misled.

What we had all been taught (we students and my teacher as well) was wrong. Thermodynamic entropy is not a measure of chaos. It is not a measure of the tendency of systems to fall into disorder and decay. The most current view of entropy states that entropy “measures the dispersal of energy: how much energy is spread out in a particular process, or how widely spread out it becomes.”

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