Viktor Mayer schoenberg's thoughts after reading The Age of Big Data 1 Not interested in bestsellers, hot topics and fashion technology. Books and periodicals, like to have a certain year. Topic, the point of view of retreat. Novel products are beyond my power. I am used to using mature technical products. Neither lofty nor indifferent, just keep a certain distance from reality and leave some room for thinking. This habit has been broken recently. As a result of my work, the emerging concept of "big data" began to enter my field of vision frequently. Unable to restrain my inner curiosity, I bought "Big Data Times" online and couldn't put it down. After reading it for three days, it was quite rewarding. This book has the following characteristics.
First of all, the author stands at the commanding heights of theory, and clearly expounds the innovations brought by big data to human work, life and thinking, three typical business models in the era of big data, and the challenges brought by the era of big data to personal privacy protection and public safety. Secondly, the examples in this paper are close to real life and times, which makes readers deeply impressed and empathetic. Besides, the author didn't use many technical terms to pretend to be a professional face. The whole book, words and sentences are easy to understand.
The author believes that there are three remarkable characteristics in the era of big data.
First, when people study and analyze a phenomenon, they will use all the data instead of sampling data.
Second, in the era of big data, we should not blindly pursue the accuracy of data, but should adapt to the diversity and richness of data and even accept the wrong data.
Third, understanding the correlation between data is better than exploring causality. What is more important than why.
The author points out that with the development of technology, the cost of data storage and processing has been significantly reduced, and people are now able to extract insights from fragmented and seemingly unrelated data residues. In the era of big data, three types of companies will become the darling of the times. First, companies and organizations with big data. Such as the government, banks, telecommunications companies, global Internet companies (Alibaba, Taobao). Second, professional companies with data analysis and processing technology, such as Amazon and Google. Third, companies with innovative thinking may have neither big data nor professional technology, but they are good at using big data to find their ideal world from big data.
How will individuals cope with the coming era of big data? This is a serious problem.
Viktor Mayer schoenberg's Thoughts on the Age of Big Data 2 Now when it comes to new media and the Internet, we must mention big data. It seems that if you don't say this, you will be out. What's more, there are still many people who follow suit, and many empty talkers haven't even read the classic work in this field-The Age of Big Data by Schon Dove. Who is Victor Mayer Schoenberg? He is currently a professor of governance and supervision at the Internet Institute of the Network College of Oxford University, and was the head of the information supervision research project at Kennedy College of Harvard University.
His consulting clients include global companies such as Microsoft, Hewlett-Packard and IBM. He is the real maker and participant behind the official Internet policy of the European Union, and he has also served as a think tank of senior governments in many countries. This Oxford professor, who is known as the "prophet of the era of big data", is really awesome! So, the master said the golden rule? Not necessarily. You have to do some homework and understand the master's works before you can have an ideological dialogue with him.
Schoenberg discusses big data in three parts, namely thinking change, business change and management change. In the first part "Thinking Change in the Age of Big Data", Schoenberg clearly stated his three views:
First, more: not random samples, but all data.
Second, more miscellaneous: not accurate, but miscellaneous.
Third, better: not causality, but correlation.
I disagree with the first point.
On the one hand, it is very difficult to process all the data in terms of technology and equipment. On the other hand, is it necessary for everyone? Is it necessary to collect all the data for data analysis to judge simple facts?
I have discussed this issue with Professor Jonathan Zhu from the City University of Hong Kong. Professor Zhu is an expert in communication research methods and data analysis. He thinks that we can find a method of mathematical statistics for analysis, and we don't necessarily need all the data. In connection with the relevance mentioned in Schoenberg's second point of view, I understand that the total data he said refers not to quantity but to range, that is, the random sample of big data is not limited to the target data, but also includes all data outside the target. I don't think big data analysis can rule out random sampling, only sampling. Methods and scope should be expanded.
I agree with Schoenberg's second point. I think it is a good supplement to his first point of view, and it is also a reflection on precision communication and precision marketing. The simple algorithm of big data is more effective than the complex algorithm of small data. "More macro vision and oriental philosophical thinking. I can't fully agree with Schoenberg's third point of view. " Not causality, but correlation. You don't need to know why, just what it is. Communication is data, and data is relationship. In the era of small data, people only care about causality, but they don't know enough about correlation. In the era of big data, relevance plays an important role, which cannot be overemphasized, but it should not be completely ruled out. Where does big data come from? What is it used for? If we completely ignore causality and don't know the cause and effect of big data, it will also dispel the humanistic value of big data. Nowadays, in order to elaborate and spread their views, many scholars often make surprising remarks and completely deny old ideas.
After reading Victor Meyer Schoenberg's "The Age of Big Data", I realized that we are about to usher in another major change after the leap from words to electronics.
This book introduces the three major changes that followed the arrival of the era of big data-business change, management change and thinking change.
In fact, this change has already begun. The business sector has been revolutionized by the arrival of the era of big data. A few years ago, a company called Farecast made it no longer a dream to book a better air ticket price. The company uses the data of air ticket sales to predict the future trend of air ticket prices. Now, passengers who use this tool can save about $50 per ticket on average, which is the convenience brought by big data.
You should know that the flu H 1N 1 appeared in 2009. Take the United States as an example The CDC only conducts data statistics once a week, and patients usually go to the hospital because of unbearable pain, which also leads to the lag of information. However, for fast-spreading diseases, Google can make timely judgments and determine the location of influenza outbreaks. This is based on huge data resources, indicating that the era of big data has also had a major impact on public health!
In my opinion, if you want to swim in the era of big data, you must not only learn to analyze, but also make bold decisions.
In the United States, every year in July and August, when typhoons are raging, flood control materials will also be put on the shelves. Wal-Mart noticed that at this time, the sales of an egg tart increased significantly compared with other months. As a result, the merchant made a bold guess, which originated from the correlation between the two items, so he put the egg tart next to the flood control supplies. Such a move has greatly increased profits, which belongs to the big data mind of the world's first retailer!
The arrival of the era of big data can make our life more convenient. However, if big data dominates everything, there are certain risks.
Everyone should know that electronic maps can show people the way. But you should not know that it will silently accumulate people's travel data and infer where your home and work unit are through intelligent analysis. In this way, our privacy is collected without being known.
The arrival of the era of big data makes our life safer and more convenient, but at the same time, our privacy is no longer privacy, and data collection has become all-encompassing and pervasive. The world has taken a small step towards the era of big data, and a brand-new era is coming to us. Let's arm our brains with knowledge and prepare for the new era!