Big data industry ranks among the new favorite data sources in the capital market or become "Xiangxiang"

A few days ago, the wave of big data development is sweeping the globe, and capital is also keen to chase high-growth markets. Big data is China's strategic emerging industry, and the investment community continues to be optimistic about the future development of the big data industry, this trend is significantly enhanced.

Big data industry ranks among the new favorite data sources in the capital market or become "Xiangxiang"

According to incomplete statistics, as of the end of October 2016, 184 companies in China's big data industry received investment and financing in 2016.

Although the capital market has different criteria for judging big data companies, there is only one standard, the data source, to explore the nature of its growth. Data sources are increasingly becoming the most important basis for the investment community to evaluate the future of big data companies.

Promising big data companies should master the data sources of “no people have me” and “people have me”, and open up every key point in the process of landing big data applications, so that massive data sources have purpose and path. Collision matching to inspire value. Since the data source is the source of the industry, it is an inevitable starting point for the development of big data.

Big data industry ranks among the new darlings of capital market Data source or into "Xiangxiang" _ big data, data source, data mining

The industry believes that big data companies that have mastered data sources “have a lot of food” and “food ingredients” are available, which provides unlimited possibilities for subsequent local innovation: by absorbing realistic needs, providing effective solutions for action, and more Promote research and development of big data technology from the demand side.

In addition, big data companies with data sources will play an increasingly important role in the industry. It realizes the integration of industry-wide data in all fields of society, and drives hardware manufacturers to supply servers according to the requirements of data collection, transmission and storage, and encourages software vendors to develop and match software products such as data pre-processing, analysis and mining, and big data visualization. Inspire new ideas for realizing big data trading.

Therefore, whether or not to have data sources, data source retention, and development and utilization levels is the key to determining the future development prospects of big data companies and whether they have sustainable market competitiveness.

With the acceleration of the steps of open sharing of government data and the gradual advancement of national big data strategy, big data companies with data source advantages and good value in massive data are expected to become industry leaders.

Based on this, the investment community will pay more attention to data sources.

It is worth noting that in 2015, Jiufang Fangda received 18 companies including Jianyin Fortune, Boxin Capital, Dongfang Securities, IDG Capital, Fupu Investment, Detong Capital, Chuling Fund, Contemporary Oriental, and Key Bridge Communications. The fund's investment, the amount of two rounds of financing is nearly 1 billion yuan, and the investment scale is still the largest in the field of big data. The investment community is optimistic about the data of the Nine Times, because the other party holds the core data source.

The “Program for Action for the Promotion of Big Data ” program, China “to Build 10 leading international data giants and 500 big data applications, services and product manufacturing companies by 2020”.

It is understood that Jiujifang leads the industry in many dimensions such as data source reserves, number of software copyright patents, ability to develop application scenarios, and number of provinces and cities to serve.

Wang Yishou, founder of Jiufang Fangda Data, said that the development of the big data industry, the primary solution is to promote the rich and open use of data resources, which determines that data source service providers should always be at the core position in the industry chain.

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