Farewell to the small time big talk Big data operation

Source: Internet
Author: User
Keywords Big data this now we
Tags .mall analysis application behavior big data big data age business business innovation

April 20, 2014, in the "era of change: Reality and foresight" China Green Company annual Meeting "Big Data" change enterprise management and management Round Table forum, Xipei, Jiren, Junhao, Feng, Wang Wenjing and other Entrepreneurs Island neighborhood, on large data on the business management and management will bring what changes, What kind of management model and business innovation will bring to share.

The following is a live transcript excerpts:

Wang Wenjing (Chairman and CEO of Ufida Co., Ltd.): What changes will the big data bring to the management and management of the enterprise, or what management models and business innovations are brought in?

Jiren (Chairman and chief executive officer of Neusoft Group Co., Ltd. and island neighbour): The relationship between large data and business is definitely creating value, there is a feature in the creation process, the first is its accuracy, through these data analysis can accurately identify the target, including who is your customer, customer attributes, male or female , what to buy today, what tomorrow may buy, the past consumption habits, etc., for you quickly, very accurate grasp of the customer is very important. Large data is not big, it is meaningful meaning, when you get more meaningful data, large data, this is the basis of judgment. The second Foundation, when the data comes from a line that spans a particular industry, making this data more valuable, a person every day to the bar information and to the hospital color ultrasound to do the liver scan of the information together, it is possible to determine whether his liver problem is caused by drinking or other problems. This correlation, now a lot of data are islands, when these data associations more and more connected, this problem makes our judgment more accurate.

There is also a feature that each person actively contributes data to the era. Many people do not agree with this, I am not active control of data, must be someone else to collect for me, you do not use credit cards, do not take a mobile phone, do not use the navigation, do not call people, do not send micro-blog on the Internet, all things are closed, you are not contributors, as long as you open, must be contributors. On social platforms, the individual's active exposure to information has become a transaction. If the data boundaries between industries are broken, it can be accurate to the gender, age, consumption behavior, past and future, through large data can be counted as the consumer behavior of the prospective customers.

If you can be a company that is sensitive to data and has mastered the big data opportunities for creating value, you should treat large data as a means of selling. Low cost, is the means to save money, is that you can use the shortest time, rapid collection of customer groups of means, these if you can grasp clearly, the enterprise has great benefits.

Ignoring the data, ignoring the cost, ignoring the speed, ignoring the precision, of course, you have no chance.

Junhao (Juneyao Group president): In the future, large data can make the enterprise from a strategic perspective more accurate vision of the future, or from the marketing phase, more accurate marketing customer service, which is big data for our entire enterprise closely related to very important data. After getting the big data, we have to analyze, I believe that the future of large data analysts this career will be very hot.

When the plane was packed in 1990, at that time, no data, I and my brother (Wang) in the room by the calculator pressed an all-night, probably calculate a number of people in Wenzhou in Hunan, is also used in large data, of course, the accuracy of the deviation, but through the efforts of all aspects or to do it. Then there are market research companies come out, of course, through the telephone access or access, collected a lot of industry needs of data, accurate rate is not so accurate.

Now these big data, invisible in their own behavior habits are true, what to buy today is true, these data is absolutely accurate, the most important thing is how to use it accurately. If we really want to be accurate, we should put the industry data or the government's data into the thinking. We have a company below to do personal credit system, the government departments of all the civic information together, and then do a credit system, to change the integrity of China after the issue of society, after the dishonest, this data immediately reflected. Some small and medium-sized enterprises may not be able to use, but to the public data how to quickly docking, this is necessary to do, for example, Shanghai has begun to do credit system, in Shanghai's enterprises, how to put the Shanghai consumer credit system, this must be docking.

Xipei (Chairman of the Board of Directors of the Far East Holding group): Regardless of the big data, it has come to our side. As a business person, must face it, accept it, let all people understand, this is an immutable trend; Because do business, information is wealth, now called data is wealth.

There is no doubt that the Far East, which aspires to become a global energy efficiency management expert and a company that aspires to become a global investment management expert, needs data support. I vote what kind of enterprise, to understand this industry, the business related to the results of the future space, customer groups and so on. The Far east to integrate with E-commerce, now the platform has a large number of transaction data, there are material transactions, there are product transactions, and ultimately. And I feel like I think about it now, but some of it has to be done, especially the government. Yixing is one of the most economically developed cities in the country, each year in the data investment has several billion, this is the government to vote, excluding enterprises, how to be a smart city? When I learned that Yixing was ahead in this area, they feel nonetheless, there are a lot of things to do later, but there is a point, the health department to do the health Department, Public Security do things, education, education, all the data did not do a card, at that time I think why can not have a department to tie mouth? Why are there so many barriers?

Really want every enterprise, every place can get through, to use it accurately, or to do some research, so that our cost is more provincial, whether it is exchange costs, opportunity costs or other aspects. Companies like the Far East, there is no doubt, must face such a moment, but also to lead, at least in the industry in the lead, to use good big data. In addition, the key is to have a good talent in this area, we have nearly 10,000 companies, through the system optimization, process optimization, and then through the strategy of information technology, the province of almost one-third, the efficiency of oxygen-making than the original increase of 20%, the data provided a lot of support, I believe that if we use it well, we will be more advanced in the future , and the benefits will be better.

Feng (Patriot Digital Chairman): To do the real economy of particular concern about what the big data with us is what relationship, in fact, we are more concerned about what the company can directly relate to.

I was pretty freaked out a year ago. Lenovo International building downstairs is full of large data, all in this circle mixed, my understanding, popular point, like Bat how big, three enterprises are targeted at its target customer base, with large data to provide services, do exquisite, do good. Baidu attentive service netizens, netizens want to search from the data who check who. Alibaba helped the network business, and Alipay made a significant contribution to the original distrust, Ma Yun for this matter made a significant contribution.

Ma more powerful, to meet the Netizen, became a communication platform, directly robbed China Mobile, Chinese unicom business, we do not pay for free phone calls, and then create value, the database here is too large, many people are overwhelmed. Ma for the communication between users to reduce costs, the efficiency of communication across China is particularly important for entrepreneurs to make a significant contribution to mobile phones, because before the micro-letter, entrepreneurs do not actually surf the internet, I surveyed the vast majority of entrepreneurs computer there is the appearance, the staff every day on the internet, but entrepreneurs are usually busy, are in a meeting or rushing around, so there is no time to surf the internet, but now the phone has a micro-letter, everyone in the micro-letter every day, regardless of the high-speed rail or wait for the plane, even to the toilet.

In short, (large data for the enterprise) is of great significance, because with the intervention of netizens, communication frame is high. To be honest, one is Alipay, one is micro-letter, these two are China's first two brands to the world, the others are imitation foreign, and these two are we lead the world.

Whether it's a small business or a real economy, it's time to be clear about what to do. Forget about the others, these three bosses are fighting, they offer a lot of free service, even now is the service, this time from this place for their own industry users hurriedly think good how to use this platform, your customer service good on the line, this little millet lei do very well, with Zhou dozen of the mess, free software, The result is a complete career change, do mobile phones.

The big boys are fighting, they provide not only free, but even the act of giving these large data for you to use, to do restaurants, good service around the customers, with the internet, basically do not have to spend money, we are scrambling to rob, as long as the use of this thing, do not know it does not matter, reuse a young man under 30 years old, let him report to you, Let him stare, you experience, resource-rich, two combinations, you when samaranch, encourage staff, good work, the future might be Ma Yun. You just grab two words, integrity, consumers are particularly simple, as long as the integrity, consumers will be with you, whether the real economy, restaurants or beauty salons, as long as the integrity of the problem solved, using large data for you to use it, the simpler the better.

Shing Electric (Linkage Providence Chairman): I look at the big data from another angle, in fact, the big data is not strange, not mysterious, but everywhere in reality, because the development of the network, including the development of optical fiber, become very fast, become symmetrical, immediately, instant, so become big data.

I have a point of view, Tencent, now the big data or the Chinese giant internet giants have been successful because it took a shortcut, the big data is not its, who is it? For example, the biggest big data holders are China Mobile and China Telecom, but they won't use it.

Suppose that the original equipment manufacturers, such as IBM and Huawei, are planting tea, China Mobile is open tea house, tea bubble water, said to be longjing, spring, a cup of 100, the people pay 100 nothing, China Mobile made a lot of money, IBM and Ericsson also made a lot of money, this is the original business model, we are very happy, In particular, many of the world's top 500 companies. Suddenly there came a horse-teng, he brought the tea, said I give you, not money, water also use China Mobile's water, China Mobile is very suffocating, the original 100 yuan of water now can only receive 20 yuan, but said nothing, because the water or with your.

How many people are there in Tencent's micro-credit department? Originally I thought it had thousands of people, I did not go before, because are our little brother, now only hundreds of people, I do not publish accurate numbers. I'm surprised that 600 million of the users, with three years of time, have hundreds of people in the team. From a technical point of view, if the service 6 million users, also need thousands of people, the simplest, there is a billing system, the phone money honestyis down, it only hundreds of people.

Second question, is micro-mail now profitable? I don't say the answer first, everybody thinks slowly. I think micro-credit is very easy to profit, a large number of users, do anything to make a profit. I think the big data now is the robber, it took a shortcut, big data is always there, this is my point of view.

Another point of view, I said two bad questions, big data further down, to solve the two most fatal problems:

One is security, in fact, we do not know, your identity, if you want to know, everyone's identity will know that you do things to be careful. Like Wang total such a celebrity to be careful, in fact it is not safe, but we are now awareness of the rights and technical means are not enough, to solve the future big data, the so-called Big data further development of the problem, security issues to solve, how to solve it? I think that not only technical means, legislation, such as the article Comrade in Hong Kong to drink a cup of tea, to legislate, can not send photos, I think legislation. Any one of your messages, if someone cares, is all you can know, so this thing to legislate. Breaking national laws, sending information to the FBI, that's fine. If it's a personal matter, be legal.

The second is inequality, why? The first, your data is your wealth, others have taken away, I say a little Dr. Jian may not necessarily like to listen, now the data is not big data, now is the island data, are islands of information, is not fair, why? Originally I went to Ali to buy things, I bought a diaper, I have to put my name, phone all filled in, he knew, but I do not have any income, particularly many diaper information sold, particularly unfair. Second, large enterprises and small enterprises are not fair, large enterprises have a large number of data, but it is an island, I hope that sometimes there is no way to take over, huge flow, huge negative flow costs brought over.

Another suggestion, one day to do a so-called large data trading rules, large data should be able to trade, can be exchanged, there are legal prerequisites can be exchanged, if this can be achieved, the future of large data is very very big, great things.

Wang Wenjing: Big Data is a revolution, a new wave, the operation and management of the enterprise will bring great changes and influence, will make your business model, management style, strategic decision-making will be a huge change and innovation, please tell each guest to talk about, to the entrepreneur to give some suggestions, after this meeting, the enterprise back how to promote, How to implement the enterprise with large data for business innovation, management changes?

Jiren: First of all, be sensitive to the understanding of the data, or learn about it. The fact that data can produce value is the behavior of a few people, and it's the same as doing business today, but I don't think anyone will. Entrepreneurship can succeed, is a minority success, but everyone believes that the minority is my own, I think not to be big data confused, most of the data meaning is limited, to grasp the key data. Second, the more relevant data is, the more meaningful it is, and the associated data itself requires your ability. Third, the data analysis and calculation behind, is a complex scientific problem, a large number of data algorithms to achieve precision, because of the calculation, and the computational methodology itself sometimes need or than the data to obtain more time.

Future, methodologies and computational tools for large data, is a cloud services, not everyone has to spend time to study these methods, SMEs really do not have the money to do this, including customer behavior analysis, have specialized products, specialized tools, data acquisition, where to get customer data? I know very well that the credit card data is very important, the customer buys my thing data is very important, but this data is not in your hand, now has the method to obtain the data? This is the first problem with data applications. If the fire today, I hope that we can objectively look at the large data itself is actually a very complex application, is a general application based on a sublimation, is based on some large number of samples to be effective after the calculation of some methodologies, resulting in service to the goal results.

Junhao: How to fit into large data? From the small and medium-sized enterprises, one is the industry accumulation, but how to use the public data this piece to do quickly, for example, smart city data, credit system data, including some public data how to use, this is very important.

The second, whether or not understand, must go to understand, because it is part of our lives, there are two books, Tian wrote the "Big Data Age", most people have seen, this is a large data age macro-analysis. I saw a book at the airport this morning, probably saying "big data apps", the whole set of systems, this book is relatively clear, this book can give you a more systematic solution including the structure, including the application of various aspects, some methods, logical thinking, theory and practice, the name of the book I Do not Remember, Probably means the application of large data, we look at the future of their own development is very applicable.

Xipei: As a business decision maker, there is no doubt that we must understand its trend, whether it is economic or social, grasp the trend, play your advantages, may be able to do something. Therefore, as far East, I hope to be able to catch up and even lead the industry we are engaged in development.

Many of the things we do now are integrated with resources from various sources, including Alibaba, including IBM, what services can be provided to us, some things not to do on their own, good precision analysis, precision marketing, precision management and so on. In addition, I feel really want to break these islands of information, how to make us spend less time, less investment? Some things may be done at the level of the Government, whether it is corporate credit or personal credit, now or individually, not from the situation of the whole society to consider, spend indeed too much. Finally, the individual needs, in fact, this business is also a lot, can also do research, whether it is healthy or other hobbies, including tourism, can do.

In a word, do business, including business life, can not be separated from the grasp of the direction, inseparable from the establishment of a very good legal environment, there is no secret, not many secrets, but there are really secrets, but also to have such laws and regulations to protect, otherwise there is no intellectual property rights, no business secrets, In the end, no one is going to innovate, and finally society cannot be sustainable.

Far east of the current cable network, a network of two platforms, is the global portal, but also the global cable trading platform, especially the cable material exchange, to become the world's unique trading platform for trade varieties and multiply the growth of modern manufacturing, traditional manufacturing, is the use of large data, is a fancy to Ma, The rapid development of such enterprises as Ma has brought us much enlightenment. I believe that many enterprises in the future will not stay too much, although there are countless small and medium-sized enterprises, each industry has thousands of, or even tens of thousands of, must be in the next five years, ten years, 90% of no more, this is certain.

Junhao: No computer in the 90 's era, I can only use a calculator Pat Head, now certainly not. Now the minority, the Black Swan event, the minority will come out, data and large data docking is the same.

Wang Wenjing: In fact, since the beginning of the business, there is data, data is not today, 3,000 years ago, accounting system, there are data. But today, ladies and gentlemen, the big data is a new era, the beginning of a business era, a sign that our previous business era is a small data business era, and the new business age is the big data business age. This change can be verified with Dr Jian's point of view, that people can make good business decisions with small data, but the new big Data age is data plus machines, more than the original people add machines, this is change, this is the new era of transition.

Today, successful internet companies, E-commerce companies, both global and Chinese, are the pioneers in using data, which is the pioneer of successful business innovation using large data, who are at the forefront of the success of the first batch, but the greater opportunity lies in other businesses, All other businesses can become data-driven enterprises, can use large data to promote the success of our own enterprises.

(Responsible editor: The good of the Legacy)

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