What is the thinking of the big data age?

The third industrial revolution would be a process from mass manufacturing to mass customization if the automobile manufacturing pipeline created by Henry Ford made it possible to make mass manufacturing. The key to customizing services is data. Viktomeirschenberg, author of the Big Data age, believes that a lot of data will enable traditional industries to better understand customer needs and provide personalized services. Schoenberg a few innovative enterprises in the United States as an example, about how big data from quantitative to qualitative change, for the service industry to bring substantial changes.

The following is Schoenberg in the Fobs Jinghan Nanjing Road Forum on the transcript, there are cuts.

More than 100 years ago, the auto industry was the first industry to really introduce mass production concepts. American working-class people who couldn't afford to buy a car before, suddenly could afford the car, the rich man's exclusive toy. The Ford T-car lets millions of American households own cars. But mass manufacturing has its limitations, Mr. Ford said, you can buy a variety of colors of the car, but red, green is impossible, only black. Mass production allows hundreds of people to buy goods, but the goods themselves are identical.

We face the paradox that handmade products are incredibly expensive, but at the same time they are cheap but not fully responsive to consumer demand.

I think the next wave of reform is mass customization, customized products and services for a large number of customers, low cost and personalized. For example, the consumer wants him to buy the car has red, green, manufacturers have the ability to meet the requirements, but the price is not as much as hand-made people can not afford.

Therefore, in the factory can afford to large-scale customization to take the premise of high cost, to truly personalized products and services, we must have a good understanding of customer needs, this need to rely on large data technology.

Data tells us how each customer's propensity to consume, what they want, what they like, what their needs are different, and what they can be assembled to classify. Large data is the increase in the number of data, so that we can achieve the process from quantitative to qualitative. For example, here's a picture of a man riding a horse in a photo. This picture is taken every minute, every second, but as the processing speed is getting faster, from 1 minutes to 1 seconds to 1, and suddenly to 1 seconds 10, the film is produced. When the number of growth to achieve qualitative change, a picture into a film.

Let me tell you, there is an innovative enterprise decide.com in the United States. It can help people make purchase decisions, tell them when to buy what products, and when to buy the cheapest. Forecast the price trend of the product. The driving force behind the company is big data. They collect 1 billion of thousands of data on major websites around the world, then help 100,000 of users save money, find the best time for their purchases, increase productivity, lower transaction costs, and bring more value to end-users.

In such a model, while some retailers ' profits will be squeezed further, business in essence can put more money back into consumers ' pockets, making shopping more rational. This is a new industry that relies on big data. The company, which saved 100,000 of its customers, was bought at a premium by ebay a few weeks ago.

As an example, Swift is the world's largest payment platform, and every transaction on the platform can be analyzed with large data. They can predict the health and growth of an economy. For example, the company now provides economic indicators for global clients, which is another big data service.

There are three main features of large data: more, more messy, but internal relationships can follow.

If I take a picture, I need to look at someone, like the photo of Minister Chen, if the focus is on him, the other characters will blur in the picture. I'll get all the information from Minister Chen, but the rest of the audience's information is filtered out. When we collect information, we also make decisions about what questions to answer and what data to collect, because once the data is collected, there is no way to ask another question.

But today we have a brand-new photographic technique, in which a picture can be taken of all the diagonal things, including all the data and light. In this way, I can point to any place, it will become clear.

Why would you do that? Facilitate decision-making.

I can decide what I want after the photo is generated, because the data contains all the answers. Don't limit yourself to immediate problems, be forward-looking, and include other problems that may arise. This is a very innovative approach, and it clearly tells us what big data can do. I can share a secret with you, if you take the camera out and look closely, you can see this is made in China.

After having so much data, we face the problem of data quality.

To avoid confusion, we need to find the correlation between the data.

(Responsible editor: Lvguang)