? The relationship between big data and business is definitely creating value. There is a characteristic in the creative process. The first is its accuracy. Through the analysis of these data, you can accurately identify the target, including who your customer is, the attributes of the customer, whether it is male or female, what to buy today, what to buy tomorrow, past consumption habits and so on. This is very important for you to grasp customers quickly and accurately. Big data is not big, but meaningful. When you get more meaningful data and big data, this is the basis of judgment. The second foundation, when these data come from across the boundaries of an industry, makes these data more valuable. When a person's information about going to a bar every day is combined with the information about going to a hospital for a color ultrasound liver scan, it can be judged whether his liver problem is due to drinking or other problems. This correlation, now a lot of data are isolated islands, when these data are more and more related, this question makes our judgment more accurate.
There is also a feature, the era when everyone actively contributes data. Many people don't agree with this matter. I don't actively control the data. Someone must have collected it for me. No credit card, no cell phone, no navigation, no phone, no Weibo on the Internet, everything is closed. You are not a contributor. As long as it is opened, it must be the contributor. On social platforms, individuals' initiative to expose information has become a transaction. If the data boundary between industries is broken, people's gender, age, consumption behavior, past and future can be accurate through big data.
If you can be a company, which is sensitive to data and has mastered the big data opportunity to create value, you should use big data as a means of sales. Low cost is a means to save money, and it is a means for you to quickly collect customer groups in the shortest time. If we can grasp these clearly, it will be of great benefit to enterprises.
Ignore the data, ignore the cost, ignore the speed, ignore the accuracy, and of course you will have no chance.
Wang Junhao (President of Juneyao Group): In the future, big data will enable enterprises to predict the future more accurately from the strategic level, or to market customer service more accurately from the marketing stage. This is very important data closely related to our whole enterprise. After getting the big data, we have to analyze it. I believe that the profession of big data analyst will be very hot in the future.
When we were in chartered flight 1990, there was no data at that time. My brother (Wang Junyao) and I worked out how many people in Wenzhou were in Hunan with our calculators in the room all night. We also used big data. Of course, there is a deviation in accuracy, but we managed to do it through various efforts. Later, a market research company came out, of course, through telephone interviews or introductory interviews, collected data needed by many industries, and the accuracy was not so accurate.
Now these big data are invisible, and their behavior habits are really revealed. What they bought today is real. These data are absolutely accurate. The most important thing is how to use it accurately. If it is really accurate, it is necessary to include industry data or government data and think together. We have a company below to do personal credit information system, which collects the information of all citizens from various government departments, and then do a credit information system to change the problem of China's honest society in the future. This data will be reflected soon. Some small and medium-sized enterprises may not need it, but they need to connect to public data quickly. For example, Shanghai has begun to do credit information system. How do enterprises in Shanghai use the Shanghai Consumer Credit Information System? This is necessary.
Jiang Xipei (Chairman of the Board of Directors of Far East Holding Group): Believe it or not, big data has come to us. As an enterprise, people must face it, accept it and let everyone know that this is an unchangeable trend; Second, how to use it? Because as an enterprise, information is wealth, and now data is wealth.
Far East intends to become a global energy efficiency management expert and a global investment management expert. There is no doubt that both orientations need the support of data. What kind of enterprise to invest in, you need to know the industry, the relevant business performance of this enterprise, the future space, customer groups and so on. The Far East should be integrated with e-commerce, and the current platform has a large amount of transaction data, including material transactions and product transactions. Also, I feel that I have thought of it now, but some things still need to be done, especially the government. Yixing is one of the most economically developed cities in China. Every year, hundreds of millions of data are invested by the government, excluding enterprises. How to be a smart city? When they learned that Yixing was very advanced in this respect, they felt that there were still many things to be done, but there was one thing: the health department should do the work of the health department, the public security should do the work of public security, and education should do the work of education. All the data are not realized as a one-card card. At that time, I thought, why can't there be a department to tie the mouth? Why are there so many barriers?
If we really want every enterprise and every place to get through, we still need to do some research when we want to use it accurately, which makes our cost more economical, whether it is communication cost, opportunity cost or other aspects. Undoubtedly, companies like the Far East must face such a moment and take the lead, at least in this industry, to make good use of big data. In addition, the key is to have outstanding talents in this field. Through system optimization, process optimization and information strategy, our enterprise of nearly 10,000 people has saved almost one third, and the oxygen production efficiency has increased by 20%. The data provides too much support. I believe that if we use it well, it will be more advanced and have better benefits in the future.
Feng Jun (Chairman of Patriot Digital): As a real economy, we pay special attention to the relationship between big data and us. In fact, we are more concerned about things directly related to the enterprise.
A year ago, I was also confused. The upstairs and downstairs of Lenovo International Building are all big data, all mixed in this circle. My understanding, in layman's terms, is like how BAT became bigger. These three companies are all aiming at their target customer groups, using big data to provide services, doing exquisitely and doing well. Baidu focuses on serving netizens, who want to search from the data. Alibaba helped online merchants, and Alipay contributed a lot. I didn't trust each other originally, and Ma Yun played an important role in this matter.
Horses are more powerful, satisfying netizens and becoming a communication platform. He directly robbed the business of China Mobile and China Unicom, and everyone made free calls without spending money, creating value again. The database here is too big for many people to cope with. Ma has made great contributions to reducing the communication cost of netizens and improving the communication efficiency of China as a whole, especially for entrepreneurs to use mobile phones, because entrepreneurs actually didn't surf the Internet before WeChat. Most of the entrepreneurs I surveyed have computers. Employees surf the Internet every day, but entrepreneurs are usually busy, having meetings or running around, and have no time to surf the Internet. But now that the mobile phone has WeChat, whether it is taking the high-speed train or waiting for the plane, or even going to the toilet, everyone is soaking in WeChat every day.
In short, (big data is of great significance to enterprises), because of the involvement of netizens, the framework of communication is high. To be honest, one is Alipay and the other is WeChat. These two brands are the first in China to go to the world, while others are imitated from abroad. These two brands are ahead of the world.
Both small and medium-sized enterprises and the real economy should be clear about what they should do now. Don't worry about others, these three bosses are all fighting, they provide a lot of free services, and now they even post services. At this time, users from their own industries in this place should think clearly about how to make good use of this platform and serve your customers well. Xiaomi Leijun did a good job, playing Zhou in a mess, and the result was completely transferred to the mobile phone.
The boss is fighting, and the big data they provide is not only free, but even posted. These big data are for you. You can make a restaurant, serve customers around you and use the Internet. Basically, it costs nothing. Everyone is vying for it. As long as you use this thing well, it doesn't matter if you don't understand it. Reuse a young man under the age of 30, let him report to you and let him keep an eye on him. You are experienced and rich in resources. You are two combinations. You only need to grasp two words, honesty, and consumers are particularly simple. As long as the integrity is achieved, consumers will associate with you, whether it is the real economy, restaurants or beauty salons. As long as you solve the problem of integrity, big data is used for you. The simpler things are, the better.
Yan Zidian (Chairman of Linked Providence): I look at big data from another angle. In fact, big data is not strange at all, it is not mysterious at all, but it is in reality anytime and anywhere, because the development of the network, including the development of optical fiber, has become very fast, very symmetrical, and instantaneous, so it has become big data.
I have a point. Tencent, now Big Data or China, these huge Internet giants are successful because they took a shortcut. Big data is not theirs. Whose is it? For example, the biggest big data owners are China Mobile and China Telecom, but they don't need it.
Suppose that the original equipment manufacturers, such as IBM and Huawei, grow tea and China Mobile operates a teahouse. They soaked the tea leaves in water, saying that it was Longjing and spring tea, and it was nothing for ordinary people to pay 100 yuan for a cup. China Mobile made a lot of money, so did IBM and Ericsson. This is the original business model, and everyone is very happy, especially many Fortune 500 companies. Suddenly, a horse Hua Teng came. After he brought the tea, he said that I would give it to you for free, but China was moved by the water. China Mobile is very wronged. The original 100 yuan of water can only be charged 20 yuan now, and he can't say anything because the water is still yours.
How many people are there in Tencent's WeChat department? I thought there were thousands of people in it. Before I went, there were only a few hundred people because they were all our little brothers. I won't publish the specific figures. I am surprised that there are 600 million users, and it took three years and a team of hundreds of people. From a technical point of view, if you serve 6 million users, you need thousands of people. The simplest thing is to have a billing system, and the money for making a phone call has to be counted. Only a few hundred people.
The second question is, is WeChat profitable now? I won't say the answer first, so take your time. I think it is very, very easy for WeChat to make a profit. A large number of users can make profits at will. I think big data is a predator now. It takes shortcuts, and big data is always there. This is my opinion.
Another point of view, I said two bad problems, big data will further develop, and two most deadly problems must be solved:
One is safety. In fact, no one knows your identity. If you want to know, everyone will know their identity. Be careful what you do. Celebrities like Mr Wang should be careful. In fact, it is not safe, but our current awareness of rights protection and technical means are not enough. To solve the problem of further development of big data in the future, we must solve the security problem. How to solve it? I think it is not only technical means, but also legislation. For example, if Comrade Wen wants to have a cup of tea in Hong Kong, he must legislate. I think it is necessary to legislate. Any information about you can be known as long as someone cares, so this matter should be legislated. There is no problem in breaking national laws and sending information to the FBI. If it's private, it's legal.
The second is inequality. Why? First, your data is your wealth, and others took it away. I said that Dr. Wang Jian might not like to hear it. Now the data is not big data, but now it is island data and information island, which is unfair. Why? I was supposed to go shopping in Ali. When I buy diapers, I have to fill in my name and phone number. He knows, but I don't get any income. It is unfair to sell a lot of diaper information. Second, it is unfair to large enterprises and small enterprises. A large enterprise has a lot of data, but it is an island. I hope that sometimes there is no way to get it, and huge traffic and huge negative traffic costs are brought.
Let me make another suggestion. One day, we will formulate a trading rule called big data. Big data should be tradable, exchangeable and legally exchangeable. If this can be achieved, the future of big data will be very, very huge and amazing.
Wang Wenjing: Big data is a kind of change and a new wave, which will bring great changes and influences to the operation and management of enterprises, and make great changes and innovations to your business model, management methods and strategic decisions. Please introduce it to the guests and give some suggestions to entrepreneurs. After attending this conference, how can enterprises go back and implement business innovation and management change with big data?
Liu Jiren: First of all, be sensitive to data, or learn from it. It is the behavior of a few people that data can generate value, which is the same as doing business today, but I believe that everyone will not think so. Entrepreneurship can be successful, but a few people succeed, but everyone believes that those few people are myself. I don't think we should be confused by big data. Most of the data have limited meaning, so we should grasp the key data. Second, the more relevant the data, the more meaningful it is, and the relevant data itself needs your ability. Thirdly, behind the data analysis and calculation is a complex scientific problem. The algorithm of a large number of data is accurate because of calculation, and the methodology of calculation itself sometimes needs or takes much more time than the time of data acquisition.
The methodology and computing tool of big data in the future will be cloud services. Not everyone will take the time to study these methods. SMEs really don't have the money to do this, including the analysis of customer behavior. There are specialized products, specialized tools and data collection. Where can they get customer data? I know very well that the data of credit card is very important, and the data of what customers buy from me is very important, but you don't have these data. Is there any way to get the data now? This is the first problem of data application. If it is hot today, I hope everyone can objectively look at big data itself as a very complex application, a sublimation based on general applications, the result of some effective methodologies after a large number of sample calculations, and serve the goal.
Wang Junhao: How to integrate big data? From the perspective of SMEs, one is industry accumulation, but how to use public data is faster. For example, the data of smart cities and credit information systems, including the use of some public data, is very important.
The second one, whether you understand it or not, must be understood, because it is a part of our life. There are two books, The Age of Big Data written by Tian Suning, which most people have read. This is a macro analysis in the era of big data. I saw a book at the airport this morning, probably about the application of big data, the whole system. This book is relatively clear. This book can give you a more systematic solution, including architecture, including various applications, some methods, logical thinking, theory and practice. I can't remember the name of this book, which probably means "Application of Big Data". Have a look, it is very useful for your future development.
Jiang Xipei: As a decision-maker of an enterprise, there is no doubt that you must know its trend, whether it is economic trend or social trend. Only by grasping the trend and giving full play to the advantages can we achieve something. Therefore, as the Far East, I hope to catch up with and even lead the development of our industry.
Many things we are doing now need to integrate various resources, including Alibaba, including what services IBM can provide us, some things that we don't need to do ourselves, good accurate analysis, accurate marketing, accurate management and so on. In addition, I think it is really necessary to break these information islands. How can we spend less time and invest less? Some things may be done at the government level, whether it is corporate credit reporting or personal credit reporting, and they are still fighting each other. They don't consider the situation of the whole society and spend too much. Finally, personal needs, in fact, a lot of business, you can also do research, whether it is health or other hobbies, including travel.
In short, doing business, including managing life, is inseparable from grasping the direction and establishing a good legal environment. There are really no secrets, there are not many secrets, but if there are secrets, there must be such laws and regulations to protect them. Otherwise, enterprises have no intellectual property rights, no trade secrets, no one will innovate in the end, and society will not be sustainable in the end.
The current cable network in the Far East, with one network and two platforms, is a global gateway and a global cable trading platform, especially the cable material exchange, which has become a unique trading platform in the world and has grown exponentially. Modern manufacturing and traditional manufacturing, that is, using big data, have attracted a lot of inspiration from the rapid development of cloud and horse enterprises. I believe that many enterprises will not stay too long in the future. Although there are countless small and medium-sized enterprises now, there are thousands or even tens of thousands in every industry. What is certain is that 90% will not exist in the next five or ten years.
Wang Junhao: In the 1990s, when there was no computer, I had to pat my head with a calculator, but now I can't. Now the niche, the black swan incident, the niche has come out, and the data is the same as the big data docking.
Wang Wenjing: Actually, since the emergence of commerce, human beings have had data. The data is not only available today, but also existed in the accounting system 3000 years ago. However, the basic view of the distinguished guests today is that big data is the beginning of a new era and a new commercial times. This sign shows that commercial times in front of us is a small data commercial times, and the new commercial times is a big data commercial times. This change can be verified from Dr. Wang Jian's point of view. It turns out that people can make good business decisions by adding small data, but in the new big data era, data and machines will surpass the original people and machines. This is change. This is a turning point in the new era.
Today, whether in the world or in China, successful Internet companies and e-commerce companies are pioneers in using data, that is, using big data to successfully carry out business innovation. They are at the forefront and succeed first, but the greater opportunity lies in other enterprises in all walks of life. Other enterprises from all walks of life can become data-driven enterprises, and they can use big data to promote the success of our own enterprises.
The above is what Bian Xiao shared for you about the changes that big data has brought to enterprise management. For more information, you can pay attention to Global Ivy and share more dry goods.