It was McKinsey who first proposed the arrival of the era of big data: "Data has penetrated into every industry and business functional field today and has become an important factor of production. The mining and application of massive data indicates a new wave of productivity growth and the arrival of consumer surplus. " ?
The definition given by Gartner is that "big data" is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and process optimization capabilities. ?
Victor Meyer Schoenberg cited various examples in the book "The Age of Big Data" to illustrate a truth: When the era of big data has arrived, we should use big data thinking to explore the potential value of big data. ?
One of the most classic cases is the investigation of "beer" and "diapers" made by Wal-Mart. In the research, Wal-Mart found that there is a kind of customers who not only buy diapers, but also often buy beer. Two seemingly unrelated commodities are actually caused by a social phenomenon. There are many young couples, the hostess takes care of the children at home, and the man goes to the supermarket to buy diapers, usually with some beer. ?
1, to help enterprises improve marketing pertinence, reduce logistics and inventory costs, reduce investment risks, and help enterprises improve the accuracy of advertising; ?
2. Help cities to prevent crime, realize intelligent transportation and improve emergency response capability; ?
3. Help e-commerce companies recommend goods and services to users, help travel websites provide tourists with favorite travel routes, help buyers and sellers in the second-hand market find the most suitable trading objects, and help users find the most suitable purchase period, merchants and most favorable prices; ?
4. Help medical institutions to establish a patient disease risk tracking mechanism, help pharmaceutical companies to improve the clinical use effect of drugs, and help AIDS research institutions to provide customized drugs for patients; ?
5. Help the government to realize market economy regulation, public health safety prevention, disaster early warning and public opinion supervision. ?
Data can often let you find seemingly unreasonable and illogical phenomena, but they exist and often occur. The above is the specific performance arrangement of Yimei Softcom Big Data in real life. ?
In the future, the figure of big data should be everywhere. Even if it is impossible to accurately predict what kind of final form big data will bring to human society, I believe that the change of big data will not stop. ?
What impact does the era of big data have on people's lives?
Big data is a huge, dynamic and sustainable data, which can be mined by using new systems, new tools and new models, so as to obtain something with insight and new value. In the past, faced with huge data, we may be blind, so we can't understand the true nature of things, so we will draw wrong inferences in scientific work. With the advent of the era of big data, all the truth will be presented to us.
What is big data?
"Big data" is a data collection composed of massive data with complex structure and many types. It is a data processing and application mode based on cloud computing, and it is an intellectual resource and knowledge service ability formed through data integration, sharing and cross-reuse.
2. Characteristics of big data: quantity, diversity and speed.
Ai Rui believes that big data meets the following three conditions: First, the amount of data is huge. According to IDC's research data, the global information volume of 20 1 1.8 trillion GB is equivalent to 26,976 tweets sent by every American every minute. It is estimated that there will be 8 trillion GB of information in the world by 20 15. Second, there are many data types. In addition to the structured data that used to be easy to store, it also includes a large number of unstructured data such as web logs, audio, video, pictures and geographical information. According to Gartner's estimation, 85% of the global information consists of various unstructured data. Third, the processing speed is fast. 1 the second law. The 3V composition of big data also leads to the characteristics of high data value but low value density, which is also called the fourth V of big data, that is, data value.
3. The source of big data
With the development of the Internet of Things, the types of data generated and stored by human beings are more and more diversified, including data generated between people such as social networks and instant messaging, data generated between people and machines such as e-commerce and web browsing, and data generated between machines such as GPS and surveillance cameras.
4. The application of big data today
Big data is gradually being widely used in more and more fields. Through the storage, mining and analysis of big data, big data has made great achievements in the fields of marketing, enterprise management, data standardization and intelligence analysis. From powerful traditional IT companies and Internet companies to start-ups based on hadoop platform, they have entered the field of big data.
(1) Big data marketing uses the mining and analysis of massive data to achieve accurate and personalized marketing for users. For example: Amazon; Google
(2) Big data consulting management: provide enterprises with big data acquisition, organization, analysis and decision-making, and provide modeling, planning, forecasting and predictive analysis to help enterprises speed up business decision-making. Like IBM.
(3) Big data standardization: standardize the configuration of hadoop, help enterprises install, configure and run hadoop, and realize the processing and analysis of large-scale data of enterprises.
(4) Big data intelligence analysis: combing all available databases, confirming relevant information and integrating it.
5. Big data changes the way of thinking.
In the past, due to the difficulty of data acquisition, people tend to use sampling data when analyzing data, and improve the accuracy of samples by constantly improving sampling methods, so as to calculate the overall data and try their best to explore the causal relationship between data. However, the current thinking mode of data processing is gradually evolving to integrity, chaos and correlation to adapt to the explosive growth of data volume.