The opportunity for entrepreneurs to come up with big data is about to subvert the top ten industries

The industrial chain of large data can be divided into four layers, including IT foundation layer, data base layer, data application layer and data security layer. Personally think that in the Chinese market for entrepreneurs, the data application layer of the most entrepreneurial opportunities, the most imaginative space. This article will focus on the development opportunities of the data application layer in China market and the corresponding entrepreneurial opportunities. But in the data application tier, the biggest challenge is that most entrepreneurs start with a large data application capability and lack of data, and need to collect data while doing application services, once both data and application capabilities are available, Large-data start-ups will enter a relatively high valuation phase. Here we will start with large data analysis and data mining, large data visualization, large data product solutions and large data industry applications in four directions. First, entrepreneurship in large data analysis and data mining in the direction of large data analysis and mining, entrepreneurial mode is mainly to help enterprises to conduct business data analysis and data mining. The challenge in this direction is to be sensitive to the internal data of the enterprise. In China, a large number of internet companies will not easily find outside teams to do enterprise internal data analysis and mining, they will build their own team to carry out related data analysis and data mining work. Unless they have a certain bottleneck in their work, they will consider employing an external third-party company, but the requirements for third parties are very high. In the direction of large data analysis and data mining, in the past two years, a number of specialized services to the Internet, especially electronic business enterprises, personalized recommendation engine development and implementation of large data companies. They serve the enterprise is generally small and medium-sized electric business enterprises, because large electric enterprises such as Jingdong and Taobao generally have their own professional data mining team. Since many small and medium enterprises themselves are not profitable, it is more challenging for large data companies to make money directly from these electronic business enterprises. But the advantage of this service approach is that large data companies in the implementation of personalized recommendations for electric enterprises, collecting the corresponding user data of the electric business enterprise, the more and more small and medium-sized electric business enterprises, the more data collected, thus forming a relatively large user purchase behavior and user characteristics database, the database on its own value is very big , can be for the traditional industry customers precision marketing services. Second, entrepreneurship in large data visualization in the direction of large data visualization, through visualization to help people to explore and interpret complex data, to facilitate the decision makers to mining data business value, and thus contribute to the development of large data. Many companies are also conducting research to try to introduce visualization into different data analysis and presentation products. In the large data visualization direction of entrepreneurship, large data companies are mainly to help enterprises to large data to more professional, easier to read, more beautiful display, the formation of professional data charts. Visualization tool Tabealu's successful listing reflects the need for large data visualization. A more important new trend in the marketplace is the visualization of handheld devices such as mobile-phone-side data. The habit of managers using mobile phones to handle day-to-day affairs (such as handling emails) has evolved, and managers want to look at the data, reportTables and reports. Because the mobile phone and the PC in view of the report there are many differences in the aspect, such as the phone screen is smaller, mobile phone is not convenient for similar mouse clicks, data visualization in the mobile side than the PC side more difficult, once the experience is done, the use of mobile phone side must be higher than PC side We've seen a lot of corporate executives look at the data journal via email. If the enterprise to make a good experience of mobile phone data visualization products, and product functionality (such as providing a very good drill down function) can assist analysis, I believe that the management of the enterprise will be valued. If the mobile phone data visualization in the direction of entrepreneurship, the advantage is that the product is lighter and standardized, the difficulty is the market expansion, may need to build channel agent to expand their business. Third, entrepreneurship in large data product solutions in the rapid expansion of data, but also to carry out in-depth data depth analysis and mining, and more and more automatic analysis requirements, more and more large data data analysis tools and products emerged. Large data product solutions have two levels: on the one hand, standardized data mining tools, such as the R-Hadoop version for large data mining, data mining algorithms based on MapReduce development, and so on, on the other hand, standardized data analysis products. For entrepreneurship, the latter has greater opportunities. Standardized data analysis products such as Web site traffic analysis tools, advertising effect statistics tools, mobile application statistics tools, and so on, in addition to some advertising effect statistics tools, now many statistical tools are provided to customers free of charge. Start-ups in this direction are more likely to consider the acquisition of large internet companies that are valued for data after a certain size, or to consider making a profit by providing data-value-added services such as precision marketing. Standardized data analysis products also have a very important trend is to the mobile end of the development, that is, to do mobile applications monitoring and analysis products, because the proportion of Internet users through mobile phones more and more high. CNNIC data show that by the end of 2014, China's Internet users have reached 650 million, of which 86% of the Internet users through mobile phones. Therefore, the mobile end of the Internet applications will be more and more popular, the corresponding statistical analysis of products also adapt to the trend of life. In the mobile application of data statistics product direction, more well-known such as friends, TalkingData and other mobile Internet application statistics tools, they free of charge to a variety of mobile application developers to provide standardized statistical services. Developers to embed these statistical tools SDK embedded in their own applications, will soon be able to see standardized statistical reports, such as the application of active degree, the application of retention rate, user conversion funnel model, etc., conducive to the development of related product operations optimization and product improvement reports. The Allies and TalkingData represent two development directions for typical data products. The former (AU) was bought by Ali, of course, also faster to achieve a better financial return of the entrepreneur, the latter (TalkingData) continues to develop in a neutral third party, its mobile application statistics services are still free, but because of the provision of free statistical services while collectingA lot of valuable data, they can use this data for many enterprises, especially the traditional industries to provide in-depth data value-added billing services. Four, entrepreneurship in large data industry application of large data in various industries vertical characteristics of the application will be more imaginative space, including finance, telecommunications, health, media advertising, retail, transport, government, intelligent city, Real estate and home appliances and other industries will have a lot of application opportunities: Finance: Large data companies focused on customer credit rating through large data, and for banks, insurance companies or Peer-to-peer platform services, or based on large data mining to help banks to customer segmentation, precision marketing services; Telecom: In this direction, there are data companies dedicated to providing customer lifecycle management solutions, customer relationship management, fine operation analysis and marketing for telecom companies, or large data companies that provide network-level operations management and network optimization services based on large data; Health: In the next two or three years there will be a number of health cloud data based on various wearable devices, to conduct in-depth data analysis and mining of enterprises, to help people to health prediction and early warning; In the future, we can serve the public health department, open up the national patient Electronic Medical record database, quickly detect infectious diseases and conduct comprehensive epidemic surveillance. , and respond quickly by integrating disease monitoring and response procedures; Media advertising: This direction can be achieved through large data to achieve more scientific media choice, or based on large data precision advertising system, based on large data advertising effect monitoring and evaluation services, Web site analysis and optimization service based on large data and DMP data platform based on large data to provide accurate marketing service for DSP platform; Retail: Large data companies can help retail businesses to store location services, use association rules for customer Shopping basket analysis, so as to recommend corresponding promotional activities to customers; Based on weather analysis and anticipation to determine the best-selling products and the corresponding purchase and operation strategy, or the weather data into the logistics forecast model, to ensure that the weather mode has not changed before the goods can be transported smoothly to the stores; traffic: Improve traffic case detection ability based on large data, Based on the technology of image recognition, it can quickly detect and record the information of traffic violation; or based on the analysis of the vehicle flow to help the transportation management and traffic construction optimization; In the future, we will provide the customer with the data of the vehicle navigation for the insurance company to offer the customers traffic Accident risk Analysis service; Government agencies: Large data companies can provide public opinion monitoring services based on natural language processing and semantic analysis. In the Chinese market, the government's public opinion monitoring service needs more than needed, is also the government through a large number of data means to understand the voice of the people in time to optimize the government's related services, one of the scientific means. Due to natural language processing, language analysis of the threshold is relatively high, so many public opinion monitoring services companies will take the machine discriminant plus manual screening method to serve customers, truly fully automated monitoring of the company is not many; Smart city: Large data as an essential technology to build intelligent city, in the city's intelligent traffic, safe city , intelligent medicine, intelligent community and other intelligent application practiceRole。 Among them, transportation, medical care, Safe city has become a big data application focus area, is also full of entrepreneurial opportunities; Real estate: Through the Internet platform of large data to purchase potential customers mining, or through the Internet large data for potential decoration customer excavation, through large data to provide accurate community O2O services; Commercial real estate through large data to the shopping mall consumer analysis, master customer activity trajectory, consumption habits and so on, to provide customized services, precision marketing services. Home appliances: In smart home and smart home appliances, the promotion of large data in this field will appear more interesting entrepreneurial opportunities. Now entrepreneurs are using cloud services to bring home or home appliances data, and to start providing data analysis and data mining services. In the future, there will be more interesting applications based on large data, such as the behavior data you use in the fridge, which tells you that you need to buy carrots tomorrow. The above is just a brief list of some typical data entrepreneurial opportunities, due to the length of the article, there are many opportunities not mentioned. Overall, the development of large data in China is still in the early stages of development, opportunities and challenges coexist. If you want to start a business in this field, you may need to be more patient, the data industry is a slow work out of the malt industry, independent Third-party data company's brand influence is also a long time to accumulate, large data companies are more difficult to develop explosive growth. Therefore, in this industry to start a business, to do a good job of the psychological preparation of marathon.