In 2016, China's big data industry market has grown significantly, technology innovation and application innovation features are highlighted, and local governments have combined demand to promote top-level design and industry application as a new hot spot. In 2017, based on the above development foundation, the big data industry will continue to exert its strength. Based on the deep thinking of public data sharing, application landing, big data and informationization in the past year, the founder of Jiufang Fangda Data, Wang Yishou, put forward ten different views on data, which is not difficult. Peek into the future development of big data industry.
1. Government data will become the most important asset of local governments
The most valuable value in the hands of the government is land and data. The data can be used repeatedly. Once the government data is released, the value generated is much higher than the land. In an era of increasing Internet and informatization, open data is not only a face-to-face project, but also effectively reflects the investment environment, informatization level, and government openness. Data opening is bound to generate new productivity, and government data will become The most important asset of the local government.
2. "Four elements of big data are early warning, prediction, decision making, intelligence"
Big data should not be static, but collide and aggregate with surrounding data, which is the embodiment of government or corporate insight and action. The four elements of big data are early warning, forecasting, decision making, and intelligence. Early warning, that is, through data collection, data mining, and data analysis, it issues forecasts and warnings for existing risks; forecasting refers to establishing a guide based on the longitudinal time axis to judge certain problems in a relatively long time; Through the linkage of all relevant data, the decision or conclusion based on data and analysis is formed; intelligence, that is, when we analyze and judge the actual problem, we realize the intelligent behavior through technical means. The four elements explain the core of big data from a functional point of view, and ultimately, these functions need to be returned to big data applications. Only through application can big data really “landâ€.
3. "Big data is the grave-digger of traditional information technology vendors"
2016 is an important turning point in China's informatization process, marking a significant distinction between big data and traditional informatization. Traditional informationization is based on data and pays more attention to the query function, while big data focuses on the interconnection and intercommunication of information. It can realize the intelligent analysis of data collection and data mining required by enterprises and governments in one stop. Through big data, companies can be closer to consumers, deeply understand the needs, analyze information efficiently and make pre-judgments; the government can predict the economic pulse, master the industry's macro data and then pre-judgment and control. Big data is born out of the traditional information industry, is a catalyst for information technology and combustion aids, and will eventually subvert the industry format and eliminate traditional manufacturers.
4. “70% of China’s big data needs are concentrated in government and financial applications in the next three yearsâ€
In November last year, General Secretary Xi Jinping proposed to "build a national integrated national big data center." Big data governance is imperative. At present, some foreign government pioneers are already using the big data method to improve the ability to govern society, and to achieve technological innovation, management innovation and service model innovation of government public services. The application of big data in the field of public management not only solves the traditional problems, but also is the inevitable choice for dealing with new challenges and solving new problems in the new era. Especially in the financial industry, big data has many manifestations in bank anti-fraud work very early. The application of big data in the financial industry is rapidly spreading along with the pace of Internet finance. The development of big data in the next three years will mainly focus on the government's big data and financial big data, exerting the 1 1>2 effect, deepening the vertical and horizontal, ushering in economic and social breakthrough development.
5. "The value of government data lies in chemical reactions, not simple physical aggregations."
At present, relevant policies are issued at the national, provincial and municipal levels, and they are actively promoting and guiding the open sharing of government data, and the data centers are everywhere. However, instead of building a data center, government data can be activated. The data center only realizes the storage, classification and organization of government basic data resources, and makes the data resources into large-scale, but it does not fully reflect the value of government big data processing and application requirements in the era of data explosion. The value of data is not a static data aggregation, data collision and friction can release intrinsic value. The release of government value should be based on big data applications, with the big data thinking of “early warning, forecasting, decision-making, and intelligenceâ€, organically correlating scattered and disordered data from within, generating fusion and fission. The subversive analysis logic has evolved to reshape the backward social public governance and traditional industries.
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