Cross-application of large data and other industries

Whether in the traditional industries such as manufacturing, pharmaceuticals, or the emerging industries such as the Internet and telecommunications, the Internet's application logic is to make industry adjustments to meet the latest market demand by analyzing data such as consumer preferences.

In recent years, large data on the Internet have been vigorously developed, large data fire.

In fact, in scientific research, medical and other industries, the concept of large data already exists. Only in the scientific research, medical, video surveillance and other industries, large data only stay in the industry's small circle, and has been along the path down, not with other industries cross application.

Based on the user's Internet behavior, the Internet data is produced anytime and anywhere, the merchant develops the scope, the development pattern is increasingly widespread and rich. In particular, the development of new, unstructured data storage and new analytical tools has led to the intersection of Internet data with emerging industries and many traditional industries.

Medicine: Market Control

A pharmaceutical company needs to launch a new product, first of all, to obtain relevant market data for the drug's field. In general, areas with high sales figures are often the areas where the incidence of the disease is high, and new drug sales can take the lead in these areas. Next, the company will need market data to analyze the implementation of marketing strategy, and make corresponding adjustments, and then research, and then adjust.

The example of this new drug has witnessed a close link between the pharmaceutical industry and data, and the pharmaceutical industry is ushering in its own big data age.

"Large data applications in the pharmaceutical industry are mainly embodied in the two aspects of new drug research and development and patent medicine marketing." "Wu Lizhi, director of research at the Electronics and Information Industry Research center of Sadie, told the China News reporter."

Major data marketing ideas in the pharmaceutical industry, like other industries, analysis of the user data on the Internet, for example, according to the search of the popular words in a certain region of the Internet, to determine whether there are diseases to focus on the outbreak, can advance to these areas to send drugs, improve the corresponding drug inventory.

Wu Lizhi that in the future, the pharmaceutical industry an important development direction is to the large data and personal health management, many products, such as health bracelet, can be based on personal health, to record, analyze the individual's daily diet status, sleep situation, and provide health advice, This is conducive to drug companies in the accurate analysis of the data on the basis of drug advertising marketing.

In China, the medical industry's large data thinking is still being developed, and the existing problems cannot be neglected. Many pharmaceutical enterprises in the selection of CRM, customer relationship management system, more favored foreign products, in fact, foreign software suppliers do not understand the market situation in China, pharmaceutical enterprises in China should understand that the best for their own.

Manufacturing: Data deep

In the construction machinery industry, many excavators have installed GPS positioning system, real-time monitoring of vehicle operation; Similarly, the Japanese Komatsu excavator also installed a GPS positioning system, in real-time monitoring the operation of the vehicle, but also according to the excavator each month working time, statistics of the work of the Year, This determines the market demand for the next year.

"This is a common problem in the development of large data in China's manufacturing industry," a person in the industry told the "China News" reporter, a lot of business decision-makers pay more attention to macro-data, subdivision of the data and depth mining is very little, and therefore can not refer to the strategic height associated with enterprise decision So many enterprises with high-quality data resources to waste a lot of opportunities.

A survey shows that many enterprises in the data records more than two forms: traditional paper and pen records and Excel spreadsheet records. This simple recording way, so that the real sense of data mining can only stay in the initial stage.

Awakening the sleeping data and developing it deeply is a top priority for manufacturing into the big data age. Fortunately, manufacturers of large data awareness gradually increased, data and information can not only be lying in the document resources, but also through further analysis, to obtain inventory changes, production materials, such as the use of internal laws, and then to guide the enterprise to make reasonable adjustments to achieve production and market height fit.

Internet: Internal External

The further development of the Internet directly spawned large data, it can be said that the intrinsic motivation of large data is the Internet. Wu Lizhi The current Internet industry's most prominent application of large data to three aspects.

The first is the application of social data, which generates targeted marketing data through social interaction and carries out value development. On Facebook, for example, marketing ads based on user preferences, or based on the internet's demographic divide, and then targeted social recruitment, are based on the large data of the social vertical industry applications.

In entertainment, such as the United States Play Card house, is the Internet television network through the collection of information, research popular favorite stars, hot topics, then write the script.

In addition, the Internet E-commerce data development. such as Jingdong, Taobao Internet enterprises, can be based on user information, accurate push. Not only that, the enterprise can also help the seller to analyze the operation of the situation, such as Taobao what the most popular goods, which sellers of goods more popular, the current market fluctuations, commodity prices and so on. In addition, Jingdong can provide useful information for the third party logistics, such as whether the warehousing logistics situation is in line with the needs of consumers and whether adjustments need to be made.

Media data is equally important, and the media data mainly includes public opinion analysis and business analysis. For example, there are network companies and CCTV cooperation to observe the Internet users during the two sessions of the topic, this is the public opinion analysis; a company wants to understand the network of positive reports and negative reports, reprint volume, evaluation, in the consumer reputation, reputation, this is business analysis.

Large data is the process of eliminating rubbish data and acquiring value information in the Internet, which makes Internet development more highly.

Telecommunications: Cross-border development

Data show that of the world's 120 operators, 48% of the companies are implementing large data strategy.

Industry insiders pointed out that the current telecommunications industry homogeneous competition, due to network pipeline to promote enterprise upgrading and transformation of its profit model, through its own massive core resources-network data, analysis and utilization, thereby improving the operating level, to find innovative points, is one of the outlet operators.

"It is an indisputable fact that the telecommunications industry is large in size and rich in data types, the fundamental task now is how to live with the existing data, one idea is to provide other industries with the required data content, and thus help other industries to achieve precision marketing, so that the telecommunications industry from the current difficulties in the pipeline to release. "Wu Lizhi said.

Operators are a strong competitor for Cross-industry applications in the large data age. ZTE (000063, share bar) believes that the foothold of the telecom industry development data is that the most valuable position, voice, network traffic, video data processing, analysis and mining, at four levels to support the enterprise higher level of operation and innovation: First, the collection of large data preprocessing (ETL, cloud storage) The second is the data informatization (statistics, retrieval, query), the third is the depth analysis and mining (user grouping, behavior analysis), four is the forecast (product, tariff, user trend).

Now the telecommunications industry also needs to continue to stand on the front end of the service interface and consumers to deal with the network more users, gather more available data.

Digging Bokhary Data

Throughout the day, the internet generated all the content can be engraved with 168 million DVDs, sent 294 billion letters (equivalent to two years in the United States, the number of paper letters), issued a blog posts up to 2 million (equivalent to TIME magazine 770 years of text volume) 378,000 handsets sold, up from 371,000 births per day in the world ... And these numbers are rising.

How big is the big data? The above set of data is still difficult to interpret. Predictably, large data will be used in more and more industries.

Whether it is manufacturing, the traditional industry such as medicine, or the Internet, telecommunications, such as the emerging industries, in fact, the application of the Internet logic is consistent, that is, through the deep integration with the Internet, and finally fell to the consumer level, through the analysis of consumer preferences and other data, make industry adjustments to meet the latest market demand