Analysis on the Development Trend of Big Data

Analysis on the Development Trend 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 resources will become the most valuable assets; Big data has landed in the enterprise management of more traditional industries; With the integration of big data and traditional business intelligence, industry customized solutions will emerge; Data will become more and more open, and data sharing alliances will emerge; Big data security is getting more and more attention, and the big data security market will become more and more important; Big data promotes the development of smart cities and is the engine of smart cities; Big data will give birth to a number of new jobs and corresponding majors; Big data is improving our lives in many ways.

Trend 1: Data resources will become the most valuable assets.

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 levels. Data has become a new strategic commanding height and a new focus for everyone to grab. In a report entitled "Big Data, Big Impact", The Wall Street Journal claimed that data has become a new asset class, just like money or gold. Companies such as Google, Facebook, Amazon, Tencent, Baidu, Alibaba and 360 are using big data to achieve greater commercial 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 be an asset of institutions and enterprises and a powerful weapon to enhance competitiveness.

Trend 2: Big data is managed in more traditional industries.

A new technology is often applied in a few industries and has achieved good results, which has a strong demonstration role for other industries. At present, big data has been well applied in large Internet companies, and big data in other industries, especially telecommunications and finance, has 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 enterprises better understand and meet customer needs and potential needs, and be better applied to intelligent monitoring of business operations, refined operation of enterprises, customer life cycle management, refined marketing, business analysis and strategic analysis. Enterprise management has both art and science. I believe that big data has a more significant role in promoting the scientific management of enterprises, so that more enterprises that embrace big data can realize smart enterprise management.

Trend 3: Big data is integrated with traditional business intelligence, and industry customized solutions will emerge.

People in the field of traditional business intelligence regard big data as a new data source, while big data practitioners think that traditional business intelligence is only a method when dealing with a small amount of data in their field. Big data users hope to get a whole 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, we hope to combine the location information of mobile devices to form a comprehensive and complete data value development platform for enterprises. 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 the differences in industries, 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 intelligence solutions for big data services. We believe that there will be more big data business intelligence customized solutions in telecom, 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 and open it is. In particular, public enterprises and Internet companies will have more and more open data. We can see that the governments of the United States, Britain, Australia and other countries have made great efforts in the data of government and public utilities. And some cities and departments in China are gradually opening up data. For example, Beijing started the trial operation of the government data resource network on 20 12 and officially opened it at the end of 20 13; Shanghai started the pilot project of opening government data resources on 20 12, and the data involved geographical location, traffic, economic statistics, qualifications, etc. In 20 14, Guizhou province also joined the data opening, and in 10, Guizhou officially went to the cloud. For different industries, the more data you enjoy, the more valuable it is. If every hospital wants to get more information about disease characteristics and curative effect, it needs to enjoy the national and even global medical information, so that it can be analyzed through the platform and get more value. We believe that data will show a trend of sharing, and data alliances in different fields will appear.

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 be gradually valued. Internet and digital life also make it easier for criminals to obtain other people's information and have more tricks and criminal means. Therefore, in the era of big data, whether it is the protection of data itself or the security of some information evolved from data, it will be very important for enterprises with high requirements for big data analysis. Big data security corresponds to big data business. Compared with traditional security, the biggest difference of big data security is that when security vendors think about security issues, they must first analyze the business, find out the threats faced by big data business, and then propose targeted solutions. For example, for data storage scenarios, many enterprises currently use open source software such as Hadoop technology to solve big data problems. Because of its open source, its security problem is also very 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 pressure brought by population gathering on transportation, medical care and architecture, cities need to arrange and allocate resources more reasonably. Smart cities are the best solution for governance transition. Smart city is to realize efficient government management, convenient people's livelihood services and sustainable industrial development through the interconnection ability, comprehensive perception ability and information utilization ability between things and people, and through the new generation of information technologies such as Internet of Things, mobile Internet and cloud computing. Compared with the previous concept of digital city, the biggest difference of smart city lies in the intelligent processing of information obtained by the perception layer. From city digitalization to city intelligence, the key is to realize the intelligent processing of digital information, and its core is the introduction of big data processing technology. Big data is the core wisdom engine of smart cities. Smart security, smart transportation, smart medical care and smart city management are all smart city application fields based on big data.

Trend 7: Big data will give birth to a number of new jobs and corresponding majors.

The emergence of a new industry will inevitably have new job requirements, and the emergence of big data will also create a number of new jobs, such as big data analysts, data management experts, big data algorithm engineer, data product managers and so on. Experienced data analysts will become scarce resources, and data-driven work will show explosive growth. Due to the strong market demand, colleges and universities will gradually open big data-related majors and train corresponding professionals. Enterprises will also work closely with universities to help them jointly cultivate big data talents. For example, in 20 14, IBM comprehensively promoted the cooperation with universities in the field of big data, introduced powerful R&D teams and business partners, promoted the innovative cooperation between "Big Data Platform" and "Big Data Analysis" in Industry-University-Research, built a systematic knowledge system and trained high-value talents, and built credit courses related to big data that meet the teaching characteristics and talent needs of China, so as to prepare for the construction of characteristic majors in the future.

Trend 8: Big data is improving our lives in many ways.

Big data is not only used in enterprises and governments, but also in our lives. In terms of health: we can use smart bracelets to monitor and track our sleep patterns and understand the quality of sleep; We can use intelligent sphygmomanometer and intelligent heart rate meter to remotely monitor the health status of the elderly at home in different places, so that migrant workers far away can feel more at ease; In terms of travel, you can use the GPS data of intelligent navigation to understand the traffic situation and adjust the route in real time according to the congestion situation. Home life: Big data will become the core of smart home, and smart home appliances will realize anthropomorphic intelligence. Products can capture and process information through sensors and control chips, and can automatically set controls according to the living space environment and user needs, and even put forward suggestions to optimize the quality of life. For example, our refrigerator will remind us of the recipes of the day every morning.