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-----------. Scientists and computer engineers have coined a new term

for this phenomenon: teasing big data. What do you mean in the era of big data? What do you mean by the concept of big data? What do you mean by big data analysis? What is big data? Where is its source? What is its definition? See

1: The definition of big data.

1. Big data, also known as huge amount of data, refers to the information that the amount of data involved is so huge that it can't be captured, managed, processed and organized to help enterprises make more positive decisions in a reasonable time by human brains or even mainstream software tools.

2. Big data technology refers to the technical ability to quickly obtain valuable information from various types of big data, including data collection, storage, management, analysis and mining, visualization and other technologies and their integration. Technologies suitable for big data

include MPP database, data mining power grid, distributed file system, distributed database, cloud computing platform, Internet, and extensible storage system.

The Internet is a magical big network, and big data development is also a mode. If you really want to know about big data, you can come here. The starting number of this mobile phone is 187, the middle number is three zero, and the last number is 1425. You can find it by combining them in order. What I want to say is, unless you want to do or understand this aspect, if you just join in the fun, don't come.

3. Big data application refers to the behavior of integrating and applying big data technology to a specific big data collection to obtain valuable information. For different businesses in different fields and enterprises, or even the same business of different enterprises in the same field, the big data technology and big data information system used may be quite different because of their differences in business requirements, data collection and analysis and mining objectives. Only by insisting on the synchronous development of the trinity of funny objects, technology and application places can

fully realize the value of big data.

when your technology reaches the limit, it is also the limit of data. Big data is not about how to define it, the most important thing is how to use it. The biggest challenge is which technologies can make better use of data and how big data is applied. Compared with traditional databases, the rise of open source big data analysis tools such as Hadoop and the value of these unstructured data services.

2. Types and value mining methods of big data

1. Types of big data can be roughly divided into three categories:

1. Traditionalenterprisedata: including consumer data of CRM systems, traditional ERP data, inventory data and account data.

2) Machine-generated/sensor data: including CallDetail Records, smart meters, industrial equipment sensors, equipment logs (usually Digital exhaust), transaction data, etc.

3) Socialdata: including user behavior records and feedback data. Social media platforms such as Twitter and Facebook.

2. There are four main ways to mine business value with big data:

1) subdivide customer groups, and then customize special services for each group.

2) simulate the real environment, explore new demands and improve the return on investment.

3) Strengthen departmental contact and improve the efficiency of the whole management chain and industrial chain.

4) Reduce service cost, find hidden clues and innovate products and services.

three: the characteristics of big data

the industry usually uses four V's (namely, Volume, Variety, Value and Velocity) to summarize the characteristics of big data. Specifically, big data has four basic characteristics:

1. The data volume is huge

The data volume is large, which refers to a large data set, generally about 1TB, but in practical application, many enterprise users put multiple data sets together, which has formed a PB-level data volume; According to Baidu's data, its new homepage navigation needs to provide more than 1.5PB(1PB=124TB) every day, which will exceed 5 billion A4 pages if printed. It has been confirmed that up to now, the data volume of all printed materials produced by human beings is only 2PB.

2. There are large data categories and various types

The variety of data comes from various data sources, and the types and formats of data are increasingly rich, which has broken through the previously defined structured data category and included semi-structured and unstructured data. Nowadays, data types are not only text, but also pictures, videos, audio, geographical information and other types of data, and personalized data accounts for an absolute majority.

3. Fast processing speed

Even in the case of huge data, real-time data processing can be achieved. Data processing follows the funny one-second law, and high-value information can be quickly obtained from various types of data.

4. High value authenticity and low density

Data authenticity is high. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure its authenticity and security. Take video as an example. One hour of video, in the process of uninterrupted monitoring, may only be useful data for one or two seconds.

four: the role of big data

1. The processing and analysis of big data is becoming the node of the new generation of information technology integration applications

Mobile Internet, Internet of Things, social networks, digital home, e-commerce and so on are the application forms of the new generation of information technology, and these applications are constantly generating big data. Cloud computing provides a storage and computing platform for these massive and diverse big data. Through the management, processing, analysis and optimization of data from different sources, the results will be fed back to the above applications, which will create great economic and social value.

Big data has the power to promote social change. But releasing this energy requires rigorous data governance, insightful data analysis and an environment to stimulate management innovation (Ramayya Krishnan, Dean of Hindes College of Carnegie Mellon University).

2. Big data is the new engine for the sustained and rapid growth of the information industry.

New technologies, new products, new services and new formats for the big data market will emerge continuously. In the field of hardware and integrated equipment, big data will have an important impact on the chip and storage industry, and will also give birth to integrated data storage and processing servers, memory computing and other markets. In the field of software and services, big data will lead to the development of rapid data processing and analysis, data mining technology and software products.

3. The utilization of big data will become the key factor to improve the core competitiveness

The decision-making of all walks of life is changing from a business-driven

to a data-driven one. The analysis of big data can enable retailers to grasp the market dynamics in real time and respond quickly; It can provide decision support for businesses to formulate more accurate and effective marketing strategies; Can help enterprises to provide consumers with more timely and personalized services; In the medical field, it can improve the accuracy of diagnosis and the effectiveness of drugs; In the public sector, big data has also begun to play an important role in promoting economic development and maintaining social stability.

4. The methods and means of scientific research will undergo major changes in the era of big data

For example, sampling survey is the basic research method of social science. In the era of big data, we can monitor and track the massive behavior data generated by the research object on the Internet in real time, conduct mining analysis, reveal regular things, and put forward research conclusions and countermeasures.

five: the commercial value of big data

1. subdividing customer groups

teasing big data can subdivide customer groups, and then take unique actions for each group. Targeting at specific customer groups for marketing and service has always been the pursuit of businesses. The massive data of cloud storage and the analysis technology of teasing big data places make it possible to segment consumers in real time and extremely cost-effectively.

2. Simulate the reality

Simulate the reality by teasing big data, explore new demands and improve the return on investment. Nowadays, more and more products are equipped with sensors, and the popularity of cars and smart phones makes the collectable data explode. Social networks such as Blog, Twitter, Facebook and Weibo are also generating huge amounts of data.

cloud computing and the analysis technology of teasing big data enable businesses to store and analyze these data together with the data of trading behavior in real time with high cost efficiency. Trading process, product use and human behavior can all be digitized. The technology of teasing big data can integrate these data for data mining, so that in some cases, we can judge which scheme has the highest return on investment under different variables (such as different promotion schemes in different regions) through model simulation.

3. Improve the return on investment

Improve the sharing degree of the results of teasing big data in relevant departments, and improve the return on investment of the entire management chain and industrial chain. Departments with strong ability to tease big data can share the results of big data with departments with weak ability to tease big data through cloud computing, Internet and internal search engines, and help them create business value by teasing big data.

4. Rental of data storage space

Enterprises and individuals have the demand for massive information storage. Only by properly storing data can their potential value be further explored. Specifically, this business model can be subdivided into two categories: personal file storage and enterprise users. Mainly through the easy-to-use API, users can conveniently put all kinds of data objects in the cloud, and then charge according to the usage like water and electricity. At present, many companies have launched corresponding services, such as Amazon, Netease, Nokia and so on. Operators have also launched corresponding services, such as China Mobile's Caiyun business.

5. Managing customer relationship

The purpose of customer management application is to deeply analyze and understand customers from different angles according to their attributes (including natural attributes and behavioral attributes), so as to increase new customers, improve customer loyalty, reduce customer churn rate and increase customer consumption. For small and medium-sized customers, specialized CRM is obviously big and expensive. Many small and medium-sized businesses use Fetion as a primary CRM. For example, add old customers to Fetion group, publish new

product previews and special sales notices in the group circle of friends, and complete pre-sales and after-sales services.

6. Personalized accurate recommendation

It is common for operators to recommend various services or applications according to users' preferences, such as app store software recommendation and IPTV video program recommendation. After intelligent analysis algorithms such as association algorithm, text abstract extraction and sentiment analysis, it can be extended to commercial services, and data mining technology can be used to help customers carry out accurate marketing. In the future, profits can come from the share of customer value-added parts.

Take the daily spam message places as an example. Not all messages are spam places, because the recipients don't need them and are regarded as spam. After analyzing the user behavior data, we can send the needed information to those who need it, so that the spam message becomes valuable information. In McDonald's in Japan, users download coupons on their mobile phones, and then go to restaurants to pay with the mobile wallet of operator DoCoMo. Operators and McDonald's collect relevant consumption information, such as what hamburgers they often buy, which stores they go to and how often they spend, and then accurately push coupons to users.

7. Data search

Data search is not a new application. With the advent of the era of teasing big data, the demand for real-time and full-range search has become stronger and stronger. We need to be able to search all kinds of social networks, user behavior and other data. Its commercial application value is to link real-time data processing with analysis and advertising, that is, real-time advertising business and social service of in-app mobile advertising.

The information of users' online behavior mastered by operators makes the obtained data more comprehensive and more commercial. Typical applications such as China Mobile's funny Pangu search site.

VI. Important impact of big data on economy and society

1. It can promote the realization of huge economic benefits

For example, it can contribute to the growth of retail net profit in China and reduce the cost of product development and assembly in manufacturing industry. It is estimated that in 213, global big data will directly and indirectly drive information technology expenditure to reach $12 billion.

2. It can promote the enhancement of social management level

The application of big data in the field of public services can effectively promote the development of related work, improve the decision-making level, service efficiency and social management level of relevant departments, and generate great social value. By analyzing the traffic flow data collected in real time, many cities in Europe can guide motorists to choose the best route, thus improving urban traffic conditions.

3. Without high-performance analysis tools, the value of big data will not be released.

We must keep a clear understanding of the application of big data, neither blindly believe in its analysis results nor deny its important role because it is not completely accurate.

1) due to various reasons, the data objects analyzed and processed will inevitably include all kinds of wrong data and useless data, and the technologies such as data analysis and artificial intelligence, which are the core of big data technology, are not yet fully mature, so the results of big data analysis and processing completed by computers cannot be required to be completely accurate. For example, Google can predict the flu outbreak faster than professional organizations by analyzing the search content of hundreds of millions of users, but this prediction has been inaccurate many times due to the interference of useless information on Weibo.

2) it must be clearly positioned that the key point of the role and value of big data lies in guiding and inspiring the innovative thinking of big data users and assisting decision-making. To put it simply, if you deal with a problem, usually people can think of one method, and big data can provide ten reference methods, even if only three of them are feasible, it will triple the thinking of solving the problem.

Therefore, it is the premise of accurately recognizing and applying big data to give full play to the role of big data without exaggeration or reduction.

VII: Finally, Beijing Kaiyun United will give you a summary

Whether the core value of big data is forecast or not, the decision-making model based on big data has brought profits and reputation to many enterprises.

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