Looking at the history of technology development, when certain technological transformations of the times come, two situations seem to occur at the same time: the chickens and ducks in the popular concept, and the enthusiasm of practitioners for concept chasing. A good example in recent years is: big data.
Of course, letting the data fall is not a fresh argument. What is really fascinating is the “degree†of landing – data is power. This is what I really want to say. Big data brings the transfer of authority.
As early as a few years ago, when the philosophical implications of big data came to the fore, the data was a kind of "religion" that was discussed by many scholars. Recently, I saw the most iconic description of the future of data, from the author of A Brief History of Humanity, Yuval Hulari (I think he is the most promising place to replace Kevin Kelly in the Chinese Internet community), he outlined for us A future era of "dataism."
In his view, those "believers" who are extremely data-driven worldviews view the whole world as a data stream, and the value judgment of anything is determined by its contribution to data processing. “As free market capitalists believe in the invisible hand of the market, data scientists believe in the invisible hand of data flow. When the global data processing system becomes omnipotent, access to the system becomes a source of all significance.â€
From the enthusiasm of the big data concept by practitioners a few years ago, big data is a concept of far-reaching. Hercules once wrote: "Data science promises the science of the Holy Grail that humans have been unable to ask for in the past few centuries: a unity of science that will evolve from musicology to economics to biology. The theory of not including. According to dataism, the Beethoven Fifth Symphony, the stock trading bubble and the flu virus are just three forms of data flow that can be analyzed using the same basic concepts and tools."
Well, the future of data is very tempting for data practitioners – if data is the mainstay of the world, the people who serve it will undoubtedly benefit a lot.
Pull the perspective to reality.
Shelved in the above-mentioned grand narrative framework, if you forget that the future is paved by reality, the following numbers seem to be small.
The numbers I saw, in the first half of 2016, a total of 18 big data-related startups received tens of millions of financing; about 50 new and three big data-related companies. In the cold winter, the capital market has great enthusiasm for big data projects. One of the reasons is that more and more investors are tired of and even fearing the madness of B2C's crazy burning, and they are turning to those areas that are driven by technology and have clear and healthy business models. Big data is in line with their appetite, not to mention Hera. In the eyes of a group of prophets, such as Lee, it seems to be the future itself.
Now it seems that regardless of data collection, transmission, modeling storage, statistical analysis mining or visualization, there are shortcomings of entrepreneurs. However, from the analysis of their service objects, it must be acknowledged that many enterprises are faced with how to deal with massive data quickly and efficiently in the process of trying to control data, as well as the reality of dense multi-source heterogeneous data, which is effective for key nodes of data. The lack of integrated solutions also makes decision makers lose their final judgment on their business.
From the standpoint of data operators, the full productization of the project, away from the difficult to copy and relatively difficult to deliver project system, is undoubtedly the best business model to extend the life cycle - in the big data industry, this is not easy Things that plague big data productization have at least three pain points: 1, the amount of data is too large, which will have a huge impact on the hardware and software systems; 2, as a basis for decision-making, the efficiency of data processing must be very high. 3, diversity, industry and business scenarios, there are different requirements for the way data is presented.
Therefore, the combination of buyers and sellers, the business of doing data, the ideal is undoubtedly to provide a complete set of solutions - the user's demand has accelerated the productization process of the big data industry from software to hardware to one-stop applications. After all, in the face of the diversified needs of the industry, people seem to be increasingly dissatisfied with the past single data analysis products. In the way of understanding the data, they hope to have the best from data discovery, storage, to visual analysis, to interactive mode. One-stop product. For example, Haiyun Data, which has been favored by investors recently, has released a comprehensive and comprehensive solution “Tianyi Big Data Decision Product Ecological Platformâ€, providing a one-stop overall solution to assist enterprises, parks, cities and governments. Re-cognize your business through data. This is because, in the face of any project and node, 80% of their work has been fully standardized and modularized, and another 20% can be customized according to different industry attributes and application nodes.
In short, in the end, in this era, the ability to harness data is the most important chapter in the “skill list†of all decision makers, because any industry, regardless of competition, cooperation, or management, will tend to “information warfareâ€. And the history of technological change tells us at the same time, no matter which industry, who is the first to pick up new tools in the industry is how important. For example, for the mastery of data, everyone knows that data visual analysis can maximize the realization of value, but when many decision makers still think about staying in the pie chart and percentage to understand the business, or when using the old IT system to equip themselves They are out of date, and those who are sensitive to new tools such as Tuyi, which are "being happening", undoubtedly have the weapon to win information warfare.
Because history has long proved that when an inter-era technology turnaround comes, in addition to the opening words of "the chickens and ducks in the popular concept" and "the practitioners' enthusiasm for concept chasing", there is another one. The important thing happens at the same time: the birth of new technology is itself a process of dividing the crowd, which divides the crowd into “will use it†and “do not use it†– people who take the lead in picking up new tools will always walk in In front of the competitors.
The deeper the development of science and technology, the stronger the power of this division will be.
At the public end: Even in 2015, when Ma Yun announced several times that Ali is transforming from an IT company to a DT company, the public concern is still the latest commercial chicken soup. From the agricultural society, the industrial society, to the information society, China has taken two or three steps and made the path of the data almost away from the popular context.
One end of the industry: About three years ago, the entrepreneurial company said that it can do big data, and the related industry chain has been roughly divided into four nodes: collecting, processing, analyzing and visualizing. - The bubble has also followed. From 2014 to 2015, the industry began to reshuffle, and big data has changed from a pure technical term, or a vain concept, to an application category, and has spread to a more pragmatic attitude. One after another. To this day, the hotspot of the big data concept has become somewhat weak. The topics discussed at various summits and forums are almost all how to make the sound of big data “landing†more vocal. Will the big data industry be a prelude to the future of "dataism"?
Of course, letting the data fall is not a fresh argument. What is really fascinating is the “degree†of landing – data is power. This is what I really want to say. Big data brings the transfer of authority.
As early as a few years ago, when the philosophical implications of big data came to the fore, the data was a kind of "religion" that was discussed by many scholars. Recently, I saw the most iconic description of the future of data, from the author of A Brief History of Humanity, Yuval Hulari (I think he is the most promising place to replace Kevin Kelly in the Chinese Internet community), he outlined for us A future era of "dataism."
In his view, those "believers" who are extremely data-driven worldviews view the whole world as a data stream, and the value judgment of anything is determined by its contribution to data processing. “As free market capitalists believe in the invisible hand of the market, data scientists believe in the invisible hand of data flow. When the global data processing system becomes omnipotent, access to the system becomes a source of all significance.â€
From the enthusiasm of the big data concept by practitioners a few years ago, big data is a concept of far-reaching. Hercules once wrote: "Data science promises the science of the Holy Grail that humans have been unable to ask for in the past few centuries: a unity of science that will evolve from musicology to economics to biology. The theory of not including. According to dataism, the Beethoven Fifth Symphony, the stock trading bubble and the flu virus are just three forms of data flow that can be analyzed using the same basic concepts and tools."
Well, the future of data is very tempting for data practitioners – if data is the mainstay of the world, the people who serve it will undoubtedly benefit a lot.
Pull the perspective to reality.
Shelved in the above-mentioned grand narrative framework, if you forget that the future is paved by reality, the following numbers seem to be small.
The numbers I saw, in the first half of 2016, a total of 18 big data-related startups received tens of millions of financing; about 50 new and three big data-related companies. In the cold winter, the capital market has great enthusiasm for big data projects. One of the reasons is that more and more investors are tired of and even fearing the madness of B2C's crazy burning, and they are turning to those areas that are driven by technology and have clear and healthy business models. Big data is in line with their appetite, not to mention Hera. In the eyes of a group of prophets, such as Lee, it seems to be the future itself.
Now it seems that regardless of data collection, transmission, modeling storage, statistical analysis mining or visualization, there are shortcomings of entrepreneurs. However, from the analysis of their service objects, it must be acknowledged that many enterprises are faced with how to deal with massive data quickly and efficiently in the process of trying to control data, as well as the reality of dense multi-source heterogeneous data, which is effective for key nodes of data. The lack of integrated solutions also makes decision makers lose their final judgment on their business.
From the standpoint of data operators, the full productization of the project, away from the difficult to copy and relatively difficult to deliver project system, is undoubtedly the best business model to extend the life cycle - in the big data industry, this is not easy Things that plague big data productization have at least three pain points: 1, the amount of data is too large, which will have a huge impact on the hardware and software systems; 2, as a basis for decision-making, the efficiency of data processing must be very high. 3, diversity, industry and business scenarios, there are different requirements for the way data is presented.
Therefore, the combination of buyers and sellers, the business of doing data, the ideal is undoubtedly to provide a complete set of solutions - the user's demand has accelerated the productization process of the big data industry from software to hardware to one-stop applications. After all, in the face of the diversified needs of the industry, people seem to be increasingly dissatisfied with the past single data analysis products. In the way of understanding the data, they hope to have the best from data discovery, storage, to visual analysis, to interactive mode. One-stop product. For example, Haiyun Data, which has been favored by investors recently, has released a comprehensive and comprehensive solution “Tianyi Big Data Decision Product Ecological Platformâ€, providing a one-stop overall solution to assist enterprises, parks, cities and governments. Re-cognize your business through data. This is because, in the face of any project and node, 80% of their work has been fully standardized and modularized, and another 20% can be customized according to different industry attributes and application nodes.
In short, in the end, in this era, the ability to harness data is the most important chapter in the “skill list†of all decision makers, because any industry, regardless of competition, cooperation, or management, will tend to “information warfareâ€. And the history of technological change tells us at the same time, no matter which industry, who is the first to pick up new tools in the industry is how important. For example, for the mastery of data, everyone knows that data visual analysis can maximize the realization of value, but when many decision makers still think about staying in the pie chart and percentage to understand the business, or when using the old IT system to equip themselves They are out of date, and those who are sensitive to new tools such as Tuyi, which are "being happening", undoubtedly have the weapon to win information warfare.
Because history has long proved that when an inter-era technology turnaround comes, in addition to the opening words of "the chickens and ducks in the popular concept" and "the practitioners' enthusiasm for concept chasing", there is another one. The important thing happens at the same time: the birth of new technology is itself a process of dividing the crowd, which divides the crowd into “will use it†and “do not use it†– people who take the lead in picking up new tools will always walk in In front of the competitors.
The deeper the development of science and technology, the stronger the power of this division will be.
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