Mogic considers

Rebirth of the new Mogic

We are undergoing a major reorganization, probably the first in five years.

It will likely be officially posted on the site after April 1, but there is a lot of prep work to be done in advance.

Why now? So, I will try to describe it in a Q&A style this time.

Q: Why are you reorganizing now?
A: Because we have used up all the space in the organization we created five years ago, and it is too tight. You want to wear loose-fitting clothes.

Q: What does the new tissue look like?
A: The trunk is slimmer and the surroundings are tappier. I hope it will last about 5 years down the road as well.

Q: What did you pay attention to when reorganizing?
A: Unlike the last time (2019), this time there is a huge business system that supports the entire company and will be extended for several years to come, so we were careful to make it easy for the workers to receive the benefits of this system.

Q: What procedure was used to decide on the organization?
A: This was also different from the last time. Rough ideas were first discussed among the chiefs and above, and then it was decided where the functions should be located for maximum efficiency, and that these areas should be tentatively handled since the system would eventually be implemented. After that, we asked all the employees for their opinions, and finally finalized the idea.

I've been writing a lot of Q&A, and it's getting a bit too much.

In another month or so, it will be transformed into the new Mogic.

For clarity, please look forward to a completely redesigned organizational chart and branding of novelties such as business cards and envelopes.

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 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.

A job that would be laughed at now.

After the first day of spring, when it is about to snow heavily, interns begin to graduate, as usual.

The earliest students receive job offers in January, and all graduate around July at the latest.

Someone always says, "Hey, interns, aren't they all going away?" but before you know it, new third-year students keep coming in, and soon a year goes by and you think the same thing again.

This year, as I followed their passing by my side, I suddenly wondered, "If I were a junior in college today, what would I be aiming for?

If you are a junior in college in 2025, you were born in 2003/Heisei 15, the year Roppongi Hills opened.

Topics in 2025, 1 in 7 people will be 75+ in later life, inflation/interest rates rising, continued conflict in the world, and generative AI.

Projections for 2025-20 years from now, they say that more than 60% of the jobs that exist today will be gone and new ones will be available.

Well, if there are a lot of jobs coming up that I don't know about yet, I'd like to be the first one to work on them.

If you do it, you'll soon become a leading expert.

But it's a profession I haven't seen yet, and how can I find it now?

Looking into the future as it is, I was afraid that I would only project my expectations and lose my sense of reality, so I looked up the occupations that have disappeared and those that have been created in the past 20 years to seek clues.

Occupations that have disappeared: video rental store clerks, photo laboratory staff, telephone operators, CD store clerks, telephone directory producers, TV and radio repair technicians, and bank teller service personnel.

Professions that were born: data scientist, machine learning engineer, influencer, digital marketer, food delivery delivery person, crowd worker, telemedicine coordinator, work style consultant, etc.

While I certainly feel that this is true when I lay it out like this, if I had said "I'm going to be an influencer in the future" in 2003, more than 20 years ago, I would have been either laughed out loud or taken aback with a "haha".

But the funny thing is that "influencers" are very common nowadays.

I think that if the "Mere Old Man" is able to find a new job within 20 years, it will be a job that people would laugh at now.