In the business world, it is expected that some laws and similarities will be found in big data, and statistical specialists will be able to analyze such data and use it for future prospects.
However, the reason why big data has received so much attention in the first place is that the IT-related infrastructure has already spread everywhere, and the main products sold by the IT industry have disappeared.
Under such circumstances, big data may have been highlighted as a new highlight product with half-forced patience. After all, big data is just "how to process huge data with statistics".
I think it's essentially meaningless to make a fuss about while making a fuss about transforming your business. Certainly, it may be one evolution that the development of IT has made it possible to process huge amounts of data, but it is just that statistics have been combined with this, and there seems to be no innovation there. It seems like.
So, I think Big Data will be in business for about five years at the most. In recent years, an increasing number of companies are entering the big data business, but at the moment it can be said that the big data business is making a profit for companies.
Also, if the company that serves as the customer can master big data ahead of other companies, it will expand the possibility of gaining an advantage over other companies in its own industry.
However, that situation does not persist. This is because as more companies enter the big data business, competition in this field will intensify. Behind that is price reduction due to price competition with other companies.
In short, big data will no longer be a good commercial product in five years. In addition, even for companies that receive big data services, it is unavoidable that the advantages created by using big data will gradually diminish.
Obviously, if one company knows that big data is used to give it an advantage over other companies, then other companies will also tend to use big data.
Companies that provide big data services are just business, so we will be happy to provide new customers even if they will compete with existing customers, and will respond to the demands of new customers. I will do it.
In other words, the more commonly the term big data becomes known in various industries, the less appealing it becomes to the users. This is not just about big data.
In any industry, there is definitely a profit to enter a new business ahead of other companies, that is, the first-come-first-served profit. This is because if the other company has not entered at all, it will have the right to decide the price.
However, what will happen if the businesses that have entered the market are expected to benefit other companies and the number of companies that are newly entering the market is increasing? This is a very simple story, where the balance between supply and demand results in less and less profit.
As the number of consumers hits a ceiling, the more suppliers we offer, the lower the price of our services will be. In the process, price competition eventually becomes fierce.
And as the business becomes less attractive, companies will have to think about new services derived from big data, or new things to sell. Therefore, I think that big data will be in season for both sellers and buyers for at most five years.
Moreover, apart from the relationship between supply and demand, I think big data has a major weakness. It's natural to conclude that big data is very difficult to handle when something big changes happens at the point of consumption.
The human resources needed at such times are not statisticians who analyze the data. People who can adapt to change or who can read the change in advance. With that in mind, it is important to repeat the work of establishing various hypotheses and verifying them one by one.
No matter how huge the amount of data is, the data is just a result and a tool for testing hypotheses. In that sense, big data may be attractive as a business for the foreseeable future, but it is probably not a business that will last for 10 or 20 years.
A long time ago, when you came up with a business model that no other company has, it was said that the company would be safe for 30 years. Now, after 10 years, or 5 years if you do poorly, a business model that was once innovative will quickly become obsolete.
Needless to say, the information and communications revolution will enable information to be shared in no time, and price leveling will begin. For the next few years, business people may be willing to overtrust big data.
However, considering 5 years and 10 years from now, it seems that it is much more important to hone the ability to gain insight into future trends from now on without excessively relying on big data. I can't think of it.
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