Three factors constrain the big data dream of wearable devices
One of the most important factors that make wearable devices so attractive is user stickiness, which has contributed to the prosperity of commerce in the PC Internet era, with the biggest difference being that user stickiness has been shortened in the industrial era, and we can accomplish information flow-based activities with the help of the Internet. The key reason for the mobile Internet boom that we're seeing now is that user stickiness has been shortened, which means that the smartphone-based mobile Internet has created a deeper stickiness between users.
If we use a phrase to describe it, that is to say, the user stickiness of the PC Internet is calculated by hours, while the user stickiness of the mobile Internet has been shortened to be calculated by minutes, and this kind of user stickiness deep binding will release more business behaviors, which is the key reason why the current wave of the mobile Internet is higher than the previous wave of the PC Internet. And into the era of wearable devices, due to the realization of a deeper, so to speak, seamless connection between people and devices, user stickiness from the mobile Internet by the minute to the calculation by the second.
It can be imagined that the commercial value released will certainly exceed the current mobile Internet and PC Internet, which is why wearable devices have been developing rapidly in controversy since the day they were born. The obvious reason is that we see that when the user stickiness is further shortened, the commercial value released will exceed the current changes brought by the mobile Internet.
The key to unlocking even greater commercial value from wearables is the big data generated behind the creation of stickiness. Wearable devices as a two-way channel for the inflow and outflow of human body data, the hidden behind its data outflow is the business opportunities, while the hidden behind the data inflow is the business presentation behind the data. It can be said that the value of big data based on wearable devices is currently a **** knowledge of all practitioners around the world, but also the basis of some people who put forward the view that wearable devices are free.
But in my opinion, it is still too early to talk about the big data value of wearable devices to mine the business model. Undeniably, the core value of the future of wearable devices lies in big data, the hardware itself can create a very limited value, regardless of the price is a one-time price expression. But the size of its core value depends on the extension of big data, digging, which is what we see Google Glass did not effectively realize the value of amplification, the key reason is not the hardware product itself is not available caused by, but due to the big data can not effectively support the amplification of its value.
And for most of the current wearable device practitioners, regardless of whether they hope to use the device to collect big data for value mining, or to use big data to amplify the value of wearable devices, all still need a way to go. At least in the short term, the profit model is still based on the relatively traditional hardware product sales itself, rather than relying on the big data mining business model of wearable devices. The main reasons for constraining the commercial value of big data on wearable devices are the following three aspects:
1, the data is too fragmented.
Since the wearable device product form is still in a rapid fission process, from smart glasses, smart watches, smart bracelets, smart shoes, smart jewelry, smart shoes to smart clothing and so on. This rapid fission of the product form for a new industry, in the market presented is the situation of product fragmentation. On the one hand, product fragmentation, on the other hand, on the basis of product fragmentation entrepreneurs are in a state of differentiation, which leads to different products, different brands of data collected failed to achieve interconnection, interoperability. The result of this data fragmentation, of course, makes the collected data is not big data, but "small" data, its value is obviously difficult to effectively tap.
2, market popularity is not high.
Because wearable devices are a new industry, both inside and outside the industry, the cognition of the wearable device industry has not yet formed a unified, clear understanding. The public's knowledge of wearable devices is not only vague, but also to a large extent can be described as unfamiliar. Factors that limit the popularity of the consumer market constrain the market penetration of the wearable device industry, which means that the user usage of wearable devices is relatively niche. From the product form level, it is usually limited to smart watches and smart bracelets at present. And from the level of smart watches and smart bracelets, it is still only limited to a part of the group that is interested in fresh technological things or is more concerned about emerging things. It is because of the constraints of the degree of market penetration, obviously restricts the user of the product, restricts the number of product data collection, restricts the data to become the process of "big" data.
3, user stickiness is not high.
The essence of wearable is to use wearable devices to further enhance the use of stickiness between people and smart devices, but from the current actual situation to stick to the user still needs a way to go. One of the main reasons is two aspects, one is restricted by the entire industrial chain technology limitations, whether it is the hard level of the chip, sensors, batteries, communications, etc., or soft level of algorithms, results feedback, etc., are still in the exploration stage; on the other hand is the lack of industrial technology talent, especially in our country is currently engaged in the wearable equipment industry, most of the technical personnel are from the IT or communications industry cross-border. The other aspect is the lack of technical talents in the industry. It is these two factors that have led to the commercialization of wearable devices in the process of its products have varying degrees of defects. The most direct manifestation of this is that the current users generally reflect the inaccuracy of the monitoring, the use of poor experience, the monitoring results of the lack of recommendations, etc., leading to the general users in the purchase of wearable devices to wear a short period of time after the direct abandonment of the device, which also means that the data collected by the developers of the basic difficult to become effective and valuable data.
Of course, there are various factors affecting the effective collection of wearable current data, and the three factors mentioned above are the key factors restricting whether big data from wearable devices can be effectively formed and mined. These three factors, it can be said that in a short period of time will continue to exist along with the development of the entire industry, which means that it will be difficult to effectively improve in the short term. Therefore, for entrepreneurs in the wearable device industry, there is still a long way to go before the dream of big data value of wearable devices, and this dream is still difficult to realize in the short term. The most realistic and feasible is not to build their business model on the dream of the value of big data, but to rely on the wearable device itself to make profits from product sales.
The above is what I shared with you about the three major factors constraining the big data dream of wearable devices, more information can be concerned about the Global Green Ivy to share more dry goods