MTL - Rebirth Starts at 7 Million-Chapter 40 application of big data

"Brother Xu, Brother Wang, do you know why Microsoft can make so much profit from big data?" Luo Fan asked.

"It should be like Wal-Mart, by summarizing users' needs and guiding users' consumption through precise advertising, right?" Xu Jiale thought for a while and said.

"That's right, the Internet is quite popular now, and in a few years, people's lives will be tied to the Internet.

Every day’s actions are also recorded by the server, and Internet veterans can use this data to analyze users’ spending power, predict the products users need in the short term, and then guide users to purchase products through accurate advertisements.

The success of Microsoft has made our domestic Internet giants excited, so they will start to deploy big data. "

"The boss, is our company's face recognition patent related to big data?" Wang Jing asked.

"Of course it's related, think about it, what's the most important thing on a person's ID card?"

"Of course it's the ID number." Wang Jing gave the answer without thinking.

"Yes, a person's face is, in a sense, the person's ID number.

Recognizing this face is equivalent to recognizing the person's identity. "

After hearing Luo Fan's words, Xu Jiale's eyes lit up: "I understand! Boss, you are a genius!"

Wang Jing was still confused, scratched his head and asked, "Lao Xu, what do you understand?"

"Pharaoh, have you seen the camera in this store?"

Wang Jing nodded.

"It is impossible for us to put our ID number on our head all the time, but once we have the boss's face recognition technology, after these cameras are connected to big data, they can immediately identify our identity and pass the Big data knows our consumption during this period.”

Hearing this, Wang Jing also understood, and the expression he looked at Luo Fan changed.

"Boss, how did you come up with this thing? You are a genius!"

"I'm just standing on the shoulders of giants, there's nothing to brag about." Luo Fan said with a calm expression.

"Boss, will our company also deploy big data in the future?" Xu Jiale asked.

"Of course we do, but what we have to do is different from what most Internet companies do now."

"What's the difference?"

"Most of the Internet companies now use their big data to collect user information, organize these data, find out the user's consumption habits, predict the user's next consumption trend, and then benefit from it.

What I want to do is to do the opposite and use big data to provide services to users. "

"Providing services to users? How can we make money, boss?" Wang Jing asked with a puzzled look.

"Let me give you an example! Take me as an example of the Xingyuan application center.

If we can predict which software the user needs, and push it directly to him before he has downloaded it, how will the user feel? ' asked Rowan.

"Of course, I think our Xingyuan Application Center is very useful."

"If this operation is repeated several times, users will have trust and dependence on our application center. On this basis, if our application center pushes some apps to him, will the probability of his downloading become higher?" Rowan continued to ask.

"Of course it will, it's human nature."

"But why do we push some apps that have nothing to do with customer big data?"

Wang Jing was stunned for a moment and then suddenly realized: "Of course, these APPs are the ones that the manufacturers paid us to push, and we will push them."

"Yes, that's it. This is the first way to make money after using big data to serve users - advertising fees."

"But boss, how can we know which software users need? Unless the user has searched for this software, but even so, the search information is all on the portal website, and we can't buy it at all. Even if we can, the cost It will also be very, very high." Xu Jiale said with a frown.

"No, Brother Xu, you are wrong. It is difficult for the portal website to determine the needs of users. Even if they have searched, will they definitely be what users want? Don't men search for stockings and high heels?

The prediction I am talking about does not require any external software at all. The Xingyuan application platform I made is an APP similar to the Apple Store.

This type of APP, including Apple Store users, will automatically scan all the software in the user's mobile phone when using it, otherwise there is no way to determine what APP the user has or not.

First, by scanning, we can know how many APPs are in the user's mobile phone, and then through the user's big data, we can predict what type of APP the user will need, and finally complete the accurate push. "

After listening to Luo Fan's words, Xu Jiale understood what Luo Fan was thinking, and at the same time he was shocked by what Luo Fan did.

Even though the company has nothing yet, Luo Fan has already integrated the application of big data into the APP he made, and Luo Fan's idea of ​​big data is completely different from that of most Internet companies.

With such a mind, Xu Jiale can only be described as a genius.

"Of course, what I said before is just a general idea, the specific operation is far less simple than what I said, and the number of samples analyzed is also very large.

Let's take another simple example. For example, let's take out two shopping apps.

The overlap of users in the two shopping apps is 70%.

This means that about 70% of users are using both shopping apps at the same time.

And based on this data, we can push the third shopping APP to the overlapping 70% of users.

If they can use two shopping apps at the same time, there is a higher probability that they will accept the third one.

Or if you push these two shopping apps to the 30% non-overlapping users, their download rate will definitely be higher than that of a random batch of users.

Of course, the so-called big data is only prediction, and prediction can never be 100% successful. What we can do is to improve the accuracy of prediction as much as possible. "

Hearing this, Xu Jiale and Wang Jing both fell into deep thought, they needed a little time to digest what Luo Fan said.

"The 8-table skewers are ready. Come and pick them up." The clerk's shout interrupted Xu Jiale and Wang Jing's thoughts. By the time they responded, Luo Fan had already brought back the skewers.

"Brother Xu, Brother Wang, don't think about it, let's eat it first! Today is a celebration feast, let's think about the work later!" After speaking, Luo Fan picked up the mutton skewers and ate it.

Xu Jiale and Wang Jing also felt a little hungry when they smelled the meat. In addition, Luo Fan ate so deliciously that the two of them were drooling when they saw it, so they didn't think about it any more and started to eat.