Big Data Age Imagination

The big data age is not popping up, and in fact, in the past few decades, mathematical analysis has dabbled in the financial sector, with Nobel laureate Harry Markwitz, William Sharp, Robert Engle uses econometric knowledge and financial market data to establish mathematical models to predict the relationship between product returns and risk volatility in financial markets. The emergence of a large data age is simply a result of the combination of massive data and perfect computing power. To be exact, mobile Internet and IoT produce huge data, and large data computing technology solves the problem of collecting, storing, calculating and analyzing of massive data perfectly. The great data age opens another era in which human society uses data values.

Let's start by introducing the new data types that appear in the Big Data Age:

1 too some records are in the form of analog, or in the form of data exist but stored in the local, not open data resources, not open to Internet users, such as music, photos, video, surveillance video and other audio-visual materials. Now that data is huge and shared on the Internet, the number of Internet users has never been greater. For example, Facebook has 1.8 billion photos uploaded or spread every day, creating a huge amount of data.

2 after mobile internet appeared, many sensors of mobile devices collected a large number of user click Behavior data, known iphone has 3 sensors, Samsung has 6 sensors. They produce a large number of clicks per day, which are owned by some companies and form a lot of user behavior data.

3) Electronic map, such as gold, Baidu, Google Maps, it produced a large number of data flow data, which is different from traditional data, traditional data represents a property or a measure, but these maps generated stream data represents a behavior, a habit, These stream data will have great commercial value after frequency analysis. The data stream based on map is a new type of data, which does not exist in the past.

4 after entering the social network era, the Internet behavior is mainly created by the user, and a large number of Internet users create a mass of social behavior data, which has never been seen before. It reveals people's behavior characteristics and life habits.

5 The rise of electricity merchants produced a large number of online transaction data, including payment data, query behavior, logistics, transportation, purchase preferences, click order, evaluation behavior, etc., it is information flow and capital flow data.

6 The traditional Internet access to the search engine, the user's search behavior and questioning behavior gathered huge amounts of data. The drop in unit storage prices also provides an economic possibility for storing this data.

The large data we refer to are different from the traditional data, the way of producing, the storage carrier, the way of accessing, the manifestation, the source characteristic and so on. Large data is closer to a group's behavioral data, which is comprehensive data, accurate data, and valuable data.

One, the big data age brings us the ponder

1 large data computing improves data processing efficiency and increases human cognitive surplus

Big Data technologies, like other technological revolutions, are starting with efficiency improvements. The emergence of large data technology platform improves data processing efficiency. Its efficiency is increasing exponentially, and the data that used to be processed in a few days or more may now be completed within minutes. The efficient computing power of large data saves more time for humans. We all know that efficiency promotion is a typical symbol of human social progress, and it can be inferred that large data technology will lead human society into another phase. By using large data to calculate the time saved, people can go to consume, entertain and create. Future large data computing will release the enormous capacity of human society, increase human cognitive surplus, help mankind to better transform the world.

2 large data to let people know the truth behind things through global data

Instead of all the statistical methods used in the past, large data will use global data, the results of which are more accurate, the truth of things, and help scientists understand the truth behind things. The statistical results of large data will correct the past people's understanding of things wrong, affect the past human behavior, social behavior of the conclusions, bringing new awareness. In favor of the government, enterprises and scientists to understand the real causes of the historical behavior of human society in the past, large data statistics will correct the statistical error of samples and keep correcting the statistical conclusions. Large data can bring humans closer to understanding nature and increase understanding of the causes of natural disasters.

3 large data helps to understand the objective law of the development of things, and is conducive to scientific decision

Large data collected the global data, accurate data, through large data calculation and statistics to understand the truth in the development of things, through data analysis of the development of human society, the Law of development of nature. Using the analysis results provided by large data to induce and deduce the law of development of things, and to help people make scientific decisions by mastering the rules of the development of things, the precision marketing in large data times is a typical application.

4 Large data provides a connection to things, an objective understanding of human behavior

Before we have large data, we know that data on human behavior often comes from passive questionnaires and lagging statistics. With large data technology, a large number of sensors such as mobile phone apps, cameras, shared pictures and videos let us more objectively understand human behavior. Large data technology connects human behavior, collects human behavior data through large data, and then, after a certain analysis, counts human behavior and helps us understand human behavior. One of the important roles of large data is to collect and analyze human behavior data, to understand human behavior characteristics, and to provide basic assets for the commercial use of data value.

5 Big Data change past experience thinking, help people build data thinking

The development of human society has been relying on data, whether it is the evolution of civilizations, agricultural planning, industrial development, military campaigns and political events. However, after large data, we will face a huge amount of data, a variety of dimensional data, behavioral data, emotional data, real-time data. These data are not understood in the past, through large data calculation and analysis technology, people will get different things truth, different things development laws. By relying on data from large data analysis reports, people will find it no longer difficult to decide one thing, to judge a thing, to understand something. Governments and enterprises will rely on large data to understand the needs of the people, abandon the past experience and inertia thinking, grasp the objective law, out of history to predict the plight of the future.

Two, large data enterprise application scenario

The most significant data age is the use of large data and large data technology to create value, large data enterprise application scenario is to introduce large data in the industry application, reflecting large data business value. The application scenario of large data will enhance enterprise's attention to large data, encourage enterprises to devote more resources to large data industry, and use large data as the tool for the benefit of human society. The application of large data can be divided into enterprise applications and government applications, its focus is different, we introduce separately, first from large data in the enterprise application began to talk about.

1 Medical Profession

The medical profession has a large number of cases, pathological reports, cure programs, drug reports, and so on. If the data can be collated and applied, it will greatly help doctors and patients. The number and variety of germs, viruses, and tumor cells we face are in the process of evolving. The diagnosis of disease and the determination of treatment options are most difficult to identify. In the future, with the help of large data platforms, we can collect different cases and treatment options, as well as the basic characteristics of the patient, to establish a database of disease-specific characteristics. If the future development of gene technology, can be classified according to the characteristics of the gene sequence of patients, the medical industry to establish a patient classification database. When the doctor diagnoses the patient may refer to the patient's disease characteristic, the laboratory report and the examination report, consults the disease database to quickly help the patient to diagnose, clearly locates the disease. In the formulation of treatment programs, doctors can be based on the patient's genetic characteristics, the same gene, age, race, the same physical condition of the effective treatment program, to develop a suitable treatment for patients, to help more people in the timely treatment. The data also help the pharmaceutical industry develop more effective drugs and medical devices. Data applications in the medical profession have been in progress, but the data have not been reached, are island data, there is no way to large-scale applications. In the future, these data should be collected together and integrated into a large data platform for the benefit of human health. The government and the healthcare industry are important drivers of this trend.

2) Biotechnology

Mainly refers to the application of large data technology in gene analysis, through large data platform, humans can record and store the results of their own and biological gene analysis, and use the genetic database based on large data technology. Large data technology will accelerate the research of gene technology, and quickly help scientists to build models and genetic combinatorial simulation calculations. Gene technology is an important weapon for mankind to conquer disease in the future, and with the application of large data technology, people will accelerate the research process of their genes and other biological genes. Future use of biological gene technology to improve crops, the use of genetic technology to develop human organs, the use of genetic technology to eliminate pests are about to be achieved.

3 Financial Industry

Large data is widely used in the financial industry, typically with Citibank using IBM Watson computer to recommend products for wealth management customers, and Bank of America uses customer click Data sets to provide customers with special services, such as a competitive credit limit. , China Merchants Bank uses customer credit card, access funds, electronic bank transfer, micro-letter comments and other behavioral data analysis, weekly to send customers targeted advertising information, which have customers may be interested in products and preferential information. The application of large data in the financial industry can be summed up in the following five aspects:

• Precision Marketing: Based on customer consumption habits, geographical location, consumption time to recommend

• Risk control: credit rating or financing support based on customer consumption and cash flow, implementation of credit card fraud with customer social behavior record

• Decision-making support: Using the Strategy tree technology to manage the mortgage loan, using the data analysis report to implement the Industrial credit risk control

• Efficiency improvement: Use the financial industry global data to understand business operations weak point, using large data technology to speed up the internal data processing speed

• Product Design: The use of large data technology for wealth customers to recommend products, the use of customer behavior data design to meet customer demand for financial products

4 Retail Industry

Retail industry large data application has two levels, one level is the retail industry can understand customer consumption preferences and trends, accurate marketing of goods, reduce marketing costs. Another level is based on customer purchase products, to provide customers with the possible purchase of other products, expand Sales, also belong to the category of precision marketing. In addition, the retail industry can master the future consumption trends through large data, which is conducive to the purchase of hot goods management and the processing of goods over the season. The data of the retail industry is very valuable to the manufacturer of the product, the data information of the retailer will contribute to the efficient utilization of the resources, reduce the overcapacity, and the manufacturer according to the retailer's information according to the actual demand to produce, reduce unnecessary waste of production.

5) Electric Business

Electric business is the earliest use of large data for precision marketing industry, in addition to precision marketing, electricity companies can be based on customer consumption habits to advance the stock for customers, and the use of convenience stores as a cargo transit point, in the customer orders within 15 minutes of the goods delivered to the delivery, improve customer experience. Ma's rookie network announced 24 hours to complete the delivery within China, as well as Beijing's Liu Propaganda in the future Jingdong will be in 15 minutes to complete door-to-door are based on customer consumption habits of large data analysis and prediction. They can use their trading data and cash flow data to provide small loans based on cash flow for their eco-circle merchants, which can also be made available to banks in cooperation with banks to provide credit support to SMEs. As the electricity quotient is more concentrated, the data quantity is big enough, the data kind is many, therefore the future electricity merchant data application will have more imagination space, including forecasts the popular trend, the consumption tendency, the region consumption characteristic, the customer consumption habit, each kind of consumption behavior correlation, the consumption hot spot, affects the consumption important factor and so on. Relying on large data analysis, the consumer report will be conducive to the brand company's product design, production enterprise inventory management and planning production, logistics enterprises, resource preparation, production capacity of the provision of production facilities, etc., is conducive to fine socialization of large production, conducive to the emergence of fine society.

6) Agriculture and animal husbandry

Large data in the agricultural application mainly refers to the future business needs of the forecast to carry out the production of agricultural and pastoral products, reduce the probability of vegetable base injury farmers. At the same time, the analysis of large data will be more accurate forecast of the future weather climate, help farmers and herdsmen to do natural disaster prevention work. Large data will also help farmers decide which varieties to grow in the light of consumer habits, reduce the production of varieties of crops, increase the value of plant acreage, and help to quickly sell agricultural products and complete the return of funds. Herders can make use of large data analysis to arrange grazing areas and effectively utilize pastures. Fishermen can make use of large data to arrange the fishing period and to locate the fish range.

Iii. government scenarios for large data

Big data Another important area of application is in the government. The government can achieve fine management by using the global data, accurate data and efficient data. The government used to use data for management, but in the past, because there was no efficient data-processing platform, much of it was being collected and not socially valued. Because of the lack of global data and perfect data, the data itself does not reflect the value of its application, so in the past the Government did not attach importance to data value. Relying on large data and large data technology, the government can get more accurate information in time, use this information, the Government can more efficient management of the state of this machine, the implementation of refined resource allocation and macro-control.