How to change the traditional business model in the era of big data

How to change the traditional business model in the era of big data

In the recent period, the word "big data" has become popular all over the world, as a breakthrough of another revolutionary technology in the information society after the cloud computing and Internet of Things (IoT), which is leading the development of the information society into a new stage, and the IT technology represented by big data will catalyze the convergence of the life sciences, new materials, new energy, and other technologies, thus promoting a great revolution of human beings. promote a huge revolution in mankind.

Can big data bring these technologies together and develop them faster? Yes, because our biotechnology has been able to crack our RND, we can analyze every gene in it, including the molecular composition of nucleotides in it, but it requires super large amount of data computation, if we have super large amount of computation, we can arrange these genetic genes step by step, and use the latest methods to transform them, then a lot of difficult problems of human beings can be solved.

President training since the rise of big data, has brought us great value, big data in the future, like resources, like human resources, natural resources, will become a very important endowment of a country, and our production and life, administration and management of a very far-reaching value.

The first is the commercial value, you can implement accurate marketing, and constantly find business opportunities, according to a typical case study, in the conditions of making full use of big data, retailers can achieve profit growth of nearly 60%, manufacturers can reduce costs by 50%. For example, Amazon's recommendation method is very famous, and they are able to speculate the consumption preference and potential demand of each record based on consumption records.

Tesco, the world's second-largest retailer, parses each user's category from their purchase records for variety pushing and precision marketing. There are also experts who make stock market predictions based on big data about changes in the mood of Internet users, and the success rate of the predictions is very high, I read the report, the prediction rate is higher than 87%, but I don't think we have done this because it is difficult to predict accurate pitches when our stock market has gone from 6,000 to 2,000 points.

The second is the economic value, which will spawn new industries and promote industrial upgrading. Enterprises engaged in data control, data analysis, and data exchange are now mushrooming, and have already spawned a lot of new products in data design, data manufacturing, and data marketing.

In the past few years, the national market growth rate of big data technology and service industry is much higher than the IT industry growth rate, the scale from 3.2 billion in 2010, estimated to 23.8 billion U.S. dollars in 2016, the development of China's big data industry is even more promising. 2012 China's technology and service market is only 450 million, and by 2015 reached 4.6 billion, 2016 can break through tens of billions.

Third, big data also has social value, widely used and improve management effectiveness, we know that more and more governments are using big data for services such as health care, food hygiene, road traffic, geologic hazards, social public opinion, national defense and security, etc., and big data is also very beneficial to the improvement of administrative effectiveness.

McKinsey demonstrated that the application of big data in the European sector reduced administrative costs by $250 billion. Of course, the problems of the food industry and the conflicts between doctors and patients are still very prominent, and I believe that the solution to these problems is not only to strengthen the management, but also to fully utilize our big data.

Fourth, in terms of the value of thinking, big data can expand the form of thinking, can allow researchers to dig wisdom directly from the data. We used to engage in quantitative economics comrades know, we do every scientific research data analysis should be built on the basis of probability, the possibility of this probability is a large probability or a small probability, when the probability of about 50% when we are very difficult to make up our minds, and the probability of a large number of samples to be a large number of samples, the need for a very high cost.

Now big data contains almost all of the information data, so at such times, the analysis of probability is often dwarfed, we can get the most accurate analysis directly from the big data, so the Turing Award winner of the science of big data may be the science of science following the experimental science, theoretical science, computational science, after the fourth kind of science.

Fifth, big data also has a strategy that is considered to be the future of new energy like strategic value, and to be included in the national strategy. The United States, Europe and Japan are accelerating the implementation of big data strategy, especially the United States in 2012 to start the big data research and development program, is another major strategic deployment of scientific research in the United States. EU Horizon 2020 program, Japan's new ICT strategic research program will be big data as a research priority.

Everything has its pros and cons, and mankind is facing new confusions because of the problem of data flooding, and the lack of global governance and how to integrate and harmonize standards and rules under big data.

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I think that in the face of the authenticity of the data, the key to human beings themselves to have a law to follow, to have the ability to identify, process, integrate and utilize the data, information technology is flooded, how do we manage, how to remove the false and keep the true?

BoShanghai's view: In the era of big data, personalization will subvert all traditional business models and become the ultimate direction and new driving force for future business development. Big data provides sufficient nutrients and fertile ground for sustainable development for personalized business applications. E-commerce is a brand new model and an important part of the modern service industry. Thanks to the support of big data, e-commerce is becoming a brand new bright spot in the world economy and will profoundly change people's consumption, circulation and production. All the momentum now shows that e-commerce has beneficially promoted globalization.

The above is what I share with you about the era of big data, the traditional business model of how to change the relevant content, more information can be concerned about the Global Ivy to share more dry goods