A brief analysis of the development trends of big data
Although big data is still in its infancy and there are many challenges, the future development is still very optimistic. The development of big data presents eight major trends: data resourceization will become the most valuable asset; big data is implemented in enterprise management in more traditional industries; big data and traditional business intelligence are integrated, and industry customized solutions will emerge; data will become more and more open, and data sharing alliances will emerge; big data security will receive more and more attention, and the big data security market will become more important; big data will promote the development of smart cities and become the engine of smart cities; big data will give birth to A batch of new jobs and corresponding majors; big data improves our lives in many aspects.
Trend 1: Data resource utilization will become the most valuable asset
With the development of big data applications, the value of big data can be fully reflected, and big data plays an important role in enterprises and society. Level has become an important strategic resource, and data has become the new strategic commanding heights and the new focus for everyone to compete for. The Wall Street Journal promoted in a report titled "Big Data, Big Impact" that data has become a new asset class, just like currency or gold. Companies such as Google, Facebook, Amazon, Tencent, Baidu, Alibaba and 360 are using the power of big data to achieve greater business success, and financial and telecommunications companies are also using big data to enhance their competitiveness. We have reason to believe that big data will continue to become an asset for institutions and enterprises and a powerful weapon to enhance the competitiveness of institutions and enterprises.
Trend 2: Big data is implemented in enterprise management in more traditional industries
A new technology often achieves good results in a few industries, but it has good results in other industries. Strong demonstration effect. At present, big data has been well applied in large Internet companies, and big data in other industries, especially telecommunications and finance, is gradually achieving results in a variety of application scenarios. Therefore, we have reason to believe that big data, as a tool to create new value from data, will be applied in enterprises in many industries and bring extensive social value. Big data will help enterprises better understand and meet customer needs and potential needs, and be better applied in intelligent monitoring of business operations, refined enterprise operations, customer life cycle management, refined marketing, business analysis and strategic analysis. Business management is both an art and a science. It is believed that big data will significantly promote the scientific management of enterprises, allowing more enterprises that embrace big data to achieve smart enterprise management.
Trend 3: The integration of big data and traditional business intelligence, industry customized solutions will emerge
People from the traditional business intelligence field regard big data as a new data source, and Big data practitioners believe that traditional business intelligence is just a method for processing small amounts of data in their field. Big data users also hope to obtain a holistic solution, that is, not only to collect, process and analyze business data within the enterprise, but also to introduce unstructured data such as web browsing, Weibo, and WeChat on the Internet. In addition, it is also hoped that the location information of mobile devices can be combined, so that enterprises can form a comprehensive and complete data value development platform. After all, whether it is big data or business intelligence, the purpose is to serve analysis. Comprehensive integration of data is more conducive to discovering new business opportunities. This is big data business intelligence. At the same time, due to industry differences, it is difficult to develop a set of big data business intelligence analysis systems suitable for various industries. Therefore, in some large-scale industry markets, big data service providers will provide more customized business services. Intelligent solutions provide big data services. We believe that more customized big data business intelligence solutions will appear in telecommunications, finance, retail and other industries.
Trend 4: Data will become more and more open, and data sharing alliances will emerge
The more relevant big data is, the more valuable it is, and the more open it is, the more valuable it is. In particular, there will be more and more open data from public institutions and Internet companies. We have seen that the governments of the United States, the United Kingdom, Australia and other countries are making efforts to improve government and public sector data. Some domestic cities and departments are also gradually carrying out data openness work. For example, Beijing began trial operation of the government data resource network in 2012 and officially opened it at the end of 2013; Shanghai launched a pilot project for opening up government data resources in 2012. The data involves geographical location, transportation, economic statistics, qualifications and other data; In 2014, Guizhou Province also joined the list of open data, and Guizhou on the Cloud was officially launched in October. For different industries, the more data is shared, the more valuable it is. If each hospital wants to obtain more disease feature databases and drug efficacy information, it needs to share medical information nationwide and even around the world, so that it can be analyzed through the platform and obtain greater value. We believe that data will show a trend of maximum sharing, and data alliances in different fields will emerge.
Trend 5: Big data security is receiving more and more attention, and the big data security market will become increasingly important
As the value of data becomes more and more important, the security and stability of big data will also gradually be taken seriously.
The Internet and digital life have also made it easier for criminals to obtain information about others, and more deceptions and criminal methods have emerged. Therefore, in the era of big data, both the protection of the data itself and the protection of some information evolved from the data Security will be crucial for enterprises with higher requirements for big data analysis. Big data security corresponds to big data business. Compared with traditional security, the biggest difference between big data security is that when security vendors think about security issues, they must first conduct business analysis and identify threats to big data businesses. Then come up with targeted solutions. For example, in the data storage scenario, many companies currently use open source software such as Hadoop technology to solve big data problems. Due to its open source nature, its security issues are also prominent. Therefore, the market needs more professional security vendors to provide professional services for different big data security issues.
Trend 6: Big data promotes the development of smart cities and serves as the engine of smart cities
With the development of big data, big data will play an increasingly important role in smart cities. . Since population agglomeration has brought pressure on cities in various aspects such as transportation, medical care, and construction, cities need to be able to layout and allocate resources more rationally, and smart cities are the optimal solution for the transformation of urban governance. Smart cities are based on the interconnection capabilities, comprehensive perception capabilities and information utilization capabilities between things, things and people, and people, and through the Internet of Things, mobile Internet, cloud computing and other new generation information technologies to achieve efficient city government management, Convenient livelihood services and sustainable industrial development. Compared with the previous concept of digital cities, the biggest difference between smart cities is the intelligent processing of information obtained by the perception layer. From urban digitization to urban intelligence, the key is to achieve intelligent processing of digital information, the core of which is the introduction of big data processing technology. Big data is the core intelligence engine of smart cities. Smart security, smart transportation, smart medical care, smart urban management, etc. are all smart city application fields based on big data.
Trend 7: Big data will create a number of new jobs and corresponding majors
The emergence of a new industry will inevitably create new demands for job positions. Big data The emergence of AI will also create a number of new jobs, such as big data analysts, data management experts, big data algorithm engineers, data product managers, etc. Data analysis talents with rich experience will become a scarce resource, and data-driven jobs will experience explosive growth. Due to strong market demand, colleges and universities will gradually open majors related to big data to cultivate corresponding professional talents. Enterprises will also work closely with universities to assist universities in jointly cultivating big data talents. For example, in 2014, IBM comprehensively promoted cooperation with universities in the field of big data, introduced strong R&D teams and business partners, and promoted industry-university-research innovative cooperation on "big data platforms" and "big data analysis" as well as the construction of a systematic knowledge system. and cultivate high-value talents, build big data-related credit courses that meet China’s teaching characteristics and talent needs, and prepare for the construction of distinctive professional directions in the future.
Trend 8: Big data improves our lives in many aspects
Big data is not only used in enterprises and governments, but also in our lives. In terms of health: We can use smart bracelet monitoring to track our sleep patterns and understand sleep quality; we can use smart blood pressure monitors and smart heart rate monitors to remotely monitor the health of the elderly at home in other places, so that they can be monitored remotely. Migrant workers in other places are more at ease; in terms of travel: we can use intelligent navigation travel GPS data to understand traffic conditions and make real-time route optimization based on congestion conditions.
In terms of home life: Big data will become the core of smart homes. Smart home appliances realize anthropomorphic intelligence. Products capture and process information through sensors and control chips. They can automatically set controls according to the residential space environment and user needs, and even propose optimizing the quality of life. Suggestions, such as our refrigerator may suggest us the recipe of the day early every morning