Mogic considers

With the combination of a small number of people + software + servers and robots
We are promoting a new era of company management.
We hope to share part of this process with you in this corner.

Representative Director Yoichi Yamane

2025.02.17

turn a quick glance

When you run a company, there are random times when things go wrong, mistakes are made, things go as planned, and things get lucky.

To be precise, I think that the distribution may be statistically expressible due to the influence of structural behaviors, i.e., organization, job classification, work flow, etc., rather than "just seeming to come at random.

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Statistical Distribution
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Statistical distribution refers to the distribution in a statistical population.

Statistical distributions include canonical, grand canonical, Rayleigh, Laplace, beta, Wishart, uniform, logistic, log-normal, Pareto, Dirichlet, error, hypergeometric, von Mises, extreme value, and truncated gamma distributions There are
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If daily events follow a statistical distribution, then we can build some kind of model.

Then, if you have a model, you can replace the parameters and simulate the model.

The ability to simulate states by parameters means that widths in the future can be predicted.

I think about such things, but this is of course why it is so difficult.

What is difficult about what?

We must first determine that axis to make it "statistically distributed" and do it.

For example, "I forgot to order supplies," "I was lucky enough to win a campaign," and "I was able to hire a good person." Should these be on the same plane, or not?

If you narrow it down to "forgot to order supplies," identify whether it is the frequency, the amount, the approval steps leading up to it, the relationships, or the conflict with other duties.

Assuming "forgot to order supplies" and "conflict with other work" is the main cause, we need to determine whether it is a target or an outlier, depending on whether it is a routine task or one that occurs very rarely.

But if we do too much, we are likely to be satisfied with the local optimum solution, and maybe we will take into account that if we stop working in a totally different department, this problem may not arise.

Yes, after all, when you get down to it, the goal is not to derive a solution, so I guess it is important to turn a casual gaze toward different levels of hierarchy and granularity.

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