1. Data core principle: change from "process" core to "data" core
In the era of big data, the computing model has also changed from the "process" core to the "data" core. The distributed computing framework of the Hadoop system is already a paradigm with "data" as its core. Unstructured data and analysis requirements will change the way IT systems are upgraded: from simple increments to architectural changes. New thinking under big data-the transformation of computing models.
Scientific progress is increasingly driven by data. Massive data brings both opportunities and new challenges to data analysis.
Big data is often obtained by using many technologies and methods to synthesize information from multiple channels at different times. In order to meet the challenges brought by big data, we need new statistical ideas and calculation methods.
2. According to the principle of value: if function is value, then data is value
Big data is really interesting because the data has become online, which is precisely the characteristics of the Internet. In the non-Internet period, the function must be its value, and today's Internet products, data must be its value.
The data can tell us that each customer's consumption tendency, what they want, what they like, what is the difference between each person's needs, and which can be grouped together for classification.
Big data is an increase in the number of data, so that we can achieve the process from quantitative change to qualitative change.
3. The principle of full sample: from sampling to the need for all data samples
Requires all data samples instead of sampling. Things you do n’t know are more important than things you know, but if there is enough data now, it will allow people to see and feel the rules.
The data is so big and so much, so people feel that they have enough ability to grasp the future and make a judgment on the uncertain state to make their own decisions. We all sound very primitive in these things, but in fact the way of thinking behind it is very similar to the big data we talk about today.
4. Focus on efficiency principle: from focus on accuracy to focus on efficiency
Focusing on efficiency rather than accuracy,
big data marks a major step forward for humans in seeking to quantify and understand the world. In the past, many things that were not measurable, stored, analyzed, and shared have been digitized. More inaccurate data opens a new door for us to understand the world. Big data can improve production efficiency and sales efficiency, because big data can let us know the needs of the market and people's consumption needs. Big data makes corporate decision-making more scientific, from focusing on accuracy to improving efficiency. Big data analysis can improve the efficiency of enterprises.
Competition is the power of an enterprise, and efficiency is the life of the enterprise. Low efficiency and high efficiency are the key to measure the success or failure of an enterprise. Generally speaking, the ratio of input to output is efficiency, and the pursuit of high efficiency is also the pursuit of high value. The efficiency between manual, machine, automatic machine and intelligent machine is different. Intelligent machine is more efficient and can replace human thinking labor. The core of the intelligent machine is big data braking, and big data braking is faster. In a rapidly changing market, rapid forecasting, rapid decision-making, rapid innovation, rapid customization, rapid production, and rapid listing have become the criteria for corporate action, that is, speed is value, efficiency is value, and all of this is inseparable from big data thinking .
5. Focus on relevance principle: from causality to focus on relevance
Focuses on relevance rather than causality. Society needs to abandon its hunger for causality and only need to focus on correlation, which means that it only needs to know what it is, not why. This has overturned the practice since ancient times, and the most basic way we make decisions and understand reality will also be challenged.
6. Prediction principle: change from unpredictable to predictable
The core of big data is prediction. Big data can predict in many ways. Big data is not to teach machines to think like humans, but on the contrary, it is to apply mathematical algorithms to massive amounts of data to predict the possibility of things happening. In the face of the law of big data, everyone's behavior is the same as others, there is no essential change, so businesses will have more consumer behavior than consumers.
7. The principle of finding people by information: from finding information by people, to changing to finding people by information
The development of the Internet and big data is a process from finding information to finding information. First, people are looking for information, people are looking for people, information is looking for information, and this is an era when information is looking for people. The era of information seeking people means that on the one hand, we are back to the original one. The broadcast mode is information seeking people. We listen to the radio and we watch TV. It is pushed to us by information, but there is a flaw. We do n’t know if we are Who, then the Internet went the other way, provided search engine technology to let me know how to find the information I needed, so search engine is a key technology.
Big data has also changed the information advantage. According to evidence-based medicine, the first thing to treat now is not to study pathology, but to use past data to study how it is treated under the same circumstances. This leads to the loss of information advantages between experts and ordinary people. It turned out that I believed the doctor because the doctor knew much, but now I can go to Google to find out what kind of illness I have.
8. Machine understands human principle: change from human to understand machine to machine to understand human
Is not to make people understand the machine better, but to make the machine understand people better, or to be able to use the machine when the user is stupid. Not even let people understand the environment, but let our environment understand us, and the environment adapts to people. To a certain extent, the natural environment cannot say this, but in the digital environment, this trend is already the world we live in. , More and more tend to adapt to us and understand us better. Which enterprise can truly make the machine more human-friendly, the environment more human-friendly, and let the entire life world that we carry with us better understand us, then he must be competitive, and "big data" technology can help We can help.
9. The principle of e-commerce intelligence: Big data changes the e-commerce model, making e-commerce more intelligent
Business intelligence is a redefined definition in the era of big data. For example: after entering the Internet, traditional enterprises, after mastering the application of "big data" technology, will find a sudden and cheerful feeling, just like finding something in a black room, they can't find it, and suddenly they hit a switch and find it so laborious Looking for something, it was easy to find. Big data thinking, in fact, is not a judgment of the full name, but a description of a certain latitude of the era we are in.
The era of big data does not mean that our era has nothing but big data. Even in the Internet and IT fields, it is not everything. It just means that adding a very obvious light to the characteristics of our era leads us to A different expression of our living state and our personal living state.
10. The principle of customized products: from the production of products by enterprises to the customization of products by customers
The next wave of reforms is mass customization, customized products and services for a large number of customers, with low cost and personalization. For example, consumers hope that the cars he buys are red and green, and manufacturers have the ability to meet the requirements, but the price is not so unmanageable as handmade. Therefore, under the premise that manufacturers can afford the high costs brought by mass customization, to truly achieve personalized products and services, they must have a good understanding of customer needs, which requires relying on big data technology.
In the era of big data on the Internet, merchants are likely to be able to accurately discriminate against each customer in the end. Many of our current behaviors are relatively extensive. Airlines will give us mileage cards to accumulate mileage according to the number of miles traveled. But in fact, the different mileages flown by different customers contribute differently to the profits of airlines. So one day a customer may receive a letter, "Congratulations, you have been selected as a lucky customer, we will upgrade you to a platinum card in advance." This shows that this customer has already contributed enough to the airline . One day the bank said, "Congratulations, your quota has been raised again," which means that you have spent too much money.
