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:
1) Data resourceization will become the most valuable asset;
2) The implementation of big data in enterprise management in more traditional industries;
3) With the integration of big data and traditional business intelligence, industry-specific solutions will emerge;
4) Data will become more and more open, and data sharing alliances will emerge;
5) Big data security is getting more and more attention, and the big data security market will become more and more important;
6) Big data promotes the development of smart cities and is the engine of smart cities;
7) Big data will spawn a number of new jobs and corresponding majors;
8) Big data improves our lives in many ways.
Trend 1: Data resourceization will become the most valuable asset
With the development of big data applications, the value of big data can be fully reflected. Big data has become an important strategic resource at the enterprise and social level. Data has become a new strategic commanding height and a new focus for everyone to snatch. In a report titled "Big Data, Big Impact," The Wall Street Journal promotes 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 commercial success, and financial and telecom companies are also using big data to enhance their competitiveness. We have reason to believe that big data will continue to become the assets of institutions and enterprises, and become 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, and has a strong demonstration effect on other industries. At present, big data has been well applied in large Internet companies, and big data in other industries, especially telecommunications and finance, have gradually achieved results in various 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 companies 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. Enterprise management has both art and science. I believe that big data will have a more significant promotion in scientific management of enterprises, allowing more enterprises that embrace big data to realize intelligent enterprise management.
Trend 3: The integration of big data and traditional business intelligence, industry customized solutions will emerge
Those from the traditional business intelligence field regard big data as a new data source, while the big data practitioners think that traditional business intelligence is only a method for processing small amounts of data in their field. Big data users hope to obtain an overall 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, WeChat, etc. 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, and the 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 use more customized business Smart Solutions provides big data services. We believe that more customized solutions for big data business intelligence 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 for public utilities and Internet companies. We see that the governments of the United States, the United Kingdom, Australia and other countries are making efforts on government and public utility data. And some cities and departments in China are gradually carrying out the work of data opening. For example, Beijing began trial operation of the government data resource network in 2012, which was officially opened at the end of 2013; Shanghai launched the pilot work of opening government data resources in 2012, and the data involved geographic location, transportation, economic statistics, qualifications and other data; In 2014, Guizhou Province also joined the list of open data, and cloud Guizhou was officially launched in October. For different industries, the more data is shared, the more valuable it is. If every hospital wants to obtain more disease feature database and drug efficacy information, it needs to share medical information across the country or even the whole world, so that it can be analyzed through the platform to obtain greater value. We believe that data will show a trend of sharing, and data alliances in different fields will emerge.
Trend 5: Big data security is getting more and more attention, and the big data security market will become more and more important
As the value of data becomes more and more important, the security and stability of big data will also be gradually valued. The Internet and digital life also make it easier for criminals to obtain information about others, and more deception and criminal methods appear. Therefore, in the era of big data, whether it is for the protection of data itself, or for some information evolved from data. It will be crucial for enterprises that have 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 security vendors must first conduct business analysis when thinking about security issues, and identify threats to big data businesses. Then come up with targeted solutions. For example, for 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 is the engine of smart cities
With the development of big data, big data will play an increasingly important role in smart cities. Due to the pressures on transportation, medical care, and construction that have been brought to cities by population aggregation, cities need to be able to allocate and allocate resources more reasonably, and smart cities are the best solution for urban governance transformation. Smart city is to realize the city's efficient government management, through the Internet of Things, mobile Internet, cloud computing and other new-generation information technologies through the interconnectivity, comprehensive perception and information utilization capabilities of things, things and people, people and people. Convenient livelihood services and sustainable industrial development. Compared with the previous concept of digital city, the biggest difference between smart city is that the information obtained by the perception layer is processed intelligently. From urban digitization to urban intelligence, the key is to realize the 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, and smart urban management are all smart city application fields based on big data.
Trend 7: Big data will spawn a batch of new jobs and corresponding majors
The emergence of a new industry will inevitably have new demands for jobs, and the emergence of big data will also introduce a number of new jobs, such as big data analysts, data management experts, big data algorithm engineers, and data product managers. etc. Experienced data analytics talent will become a scarce resource, and data-driven jobs will explode. Due to the strong market demand, colleges and universities will gradually open majors related to big data to cultivate corresponding professionals. Enterprises will also work closely with universities to help them jointly cultivate 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 the industry-oriented industry-university-research innovation cooperation of "big data platform" and "big data analysis" as well as the construction of a systematic knowledge system And high-value talent training, build big data-related credit courses that meet China's teaching characteristics and talent needs, and prepare for the future construction of characteristic majors.
Trend 8: Big data improves our lives in many ways
Big data is not only used in businesses 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 sphygmomanometers and smart heart rate monitors to remotely monitor the health of the elderly at home in different places, so that the remote Out-of-home workers in other places are more at ease; in terms of travel: we can use intelligent navigation GPS data to understand traffic conditions, and adjust routes in real time according to congestion. In terms of home life: big data will become the core of smart home, smart home appliances realize anthropomorphic intelligence, products capture and process information through sensors and control chips, can automatically set control according to the residential space environment and user needs, and even propose to optimize the quality of life Suggestions like our fridge might suggest our recipe of the day early in the morning.