Zhang Hancheng: Reduce costs and increase efficiency, quantify value, 2020 big data industry development enters deep water area
Text / Zhang Hancheng
I. Introduction
current,
Oriented by national policies and led by business needs;
Take industry experts as a bridge and take advantage of the development of big data industry;
Promote government, enterprises, and various organizations to leverage data economy-related technology industry innovation and development to become the main social and economic action plan. Manufacturing is the main battlefield. Four major departments, five major banks, central enterprises and state-owned enterprises, all head enterprises are undertaking a strategic construction of digital China and digital government in this era. Big data is a core resource that provides resource allocation efficiency in various industries, and his development forecast is particularly important!
The data accumulation and data processing system of the enterprise has been basically completed. The focus of various industries has shifted to the integration of multiple channels and multiple data forms, and the transformation from local data fusion to global data fusion.
Massive data will be aggregated in the "cloud", and a high degree of integration between various services will be achieved. Demand online, sales online, product design online, and management online have become new requirements for informatization construction. The need for data to support business in real time has been increasingly valued by enterprises. Data from internal interconnection to industrial interconnection is unstoppable. All changes in the enterprise are beyond our imagination, innovation is accelerating, and subversion is accelerating. With the help of data, algorithms, and computing power, enterprises will use new technologies to establish intelligent links in the industry and build a new ecosystem. Use the data business platform to gather group wisdom, expert wisdom, industrial wisdom, and use a large number of commercial flattening technologies that are flattened by AI to build three platforms for industrial data links, data management, and industrial data value mining, from the original organizational rules and processes Innovation drives to data algorithm-oriented business-driven change.
Massive data will generate new business value. The accumulation, mining, sorting and utilization of data are the basic qualities necessary for modern enterprises. Computing power provides productivity, data provides production materials, and algorithms provide more powerful production tools. Institutionalization of behavior, systemization of information, platformization of information, platform intelligence, and intelligent algorithmization are the evolutionary paths of digitally empowered enterprises (see above). Data Civilization-Openness and sharing of data and application capabilities are one of the core competitiveness of enterprises in this era. Without data, modern enterprises and enterprises will be unable to face future management and competition.
How should governments and enterprises change their thinking in 2020? How do industries, enterprises, governments, and new big data administrations face new opportunities and challenges?
Combining my own practice, the author talks about the development trend of big data industry in 2020 from the following three aspects:
1) The perspective of industrial development;
2) The development trend of big data industry promoted by local governments
3) From the perspective of the Big Data Authority;
First, the development of big data industries in all walks of life
In the industry, it has been agreed that industrial interconnection is the core value of current data as a driving force. To achieve industrial interconnection, enterprises move from data to intelligence, and data interconnection between industries is a basic condition, but many companies currently have data connections. A problem has arisen. There are too many internal systems and the data standards of external systems are different. Many companies' data governance and open sharing have become empty talk. Therefore, for the further development of current industry big data, there are three things to do:
the first thing:
Establish a vertical industrial data alliance to promote the standardization of industrial data;
Only the establishment of industry big data standardization. Only by gathering resources from the enterprise's big data industry, can we accelerate the promotion of industrial big data sharing and discussion through exchanges, data sharing, joint development, promotion and application, industrial standard formulation and implementation, joint talent training, business and investment cooperation, and promotion of corporate policy support The development of key technologies promotes the application value of enterprise data in the industry. The universal alliance value and meaning and mission have basically been completed, and the establishment of industrial data standardization work.
1. Vertical industrial big data alliance organization management work:
1) Organize and conduct discussion, drafting, revision, implementation and implementation of industrial data standardization.
2) Organize the statistical analysis of industrial big data industry, build an industrial big data industry analysis platform, and regularly publish industrial big data industry development indexes to provide a basis and reference for industry development.
3) Cultivation of industrial big data talents, assist industry associations to establish industrial big data joint laboratories, build industrial big data experiment platforms, and provide technical support and equipment support.
4) Coordinate the organization to explore the establishment of an innovation center in the field of industrial big data, aiming at the joint research and incubation of key technologies and common technology in the big data industry of the industrial industry. Such as clothing big data center, hosiery big data center, mining big data center, fruit big data center, animal and plant big data center, etc .;
2. Promote industrial data standardization management:
1) Standardized description, including: basic attribute domain, metadata, authority attribute domain metadata, semantic attribute domain metadata, feature attribute domain metadata, spatiotemporal attribute domain metadata, etc.
2) Give an evaluation model of industrial data capability maturity, and evaluate the data management status of a certain unit or enterprise through a series of methods, key indicators and questionnaires. Guide the enterprise's data management to maximize the use value of enterprise data.
3) Unified language, industrial big data collection / recognition, industrial big data management, big data quality, data science / data engineering, big data integration, semantic intelligence, big data visualization, big data security, privacy protection;
4) A series of basic measurement elements have been established to measure data quality, which are applicable to all stages of the data life cycle: including data collection, preprocessing, storage, processing and analysis. Cover a variety of data, including structured and unstructured data, static and streaming data, raw data and aggregated data.
The second thing:
Build a cloud-based vertical industrial cloud big data platform: Accelerate enterprises to go to the cloud and establish a cloud-based data business platform; the main reason why data value cannot be fully released is that the enterprise's multi-source heterogeneous data cannot be analyzed online in real time and support business, industrial data In the cloud, data management is in the cloud, in order to better release value. Realized on the cloud, industrial data collection-industrial data transmission-industrial data storage-industrial data processing-industrial data analysis-industrial data portal release, display and application form a closed loop of the value of the entire industrial data efficiency, let the data in The free flow of upstream and downstream of the industrial chain helps industrial transformation and upgrading. Describe in terms of value, build an online data analysis cloud platform, realize the precipitation of industrial data, business understanding, and accumulation of core algorithms. Become a core platform for industrial data value to drive industrial transformation, provide enterprises with data technology, data products, and data applications on the platform, become an industry business battle command platform with a big data ecology, and establish an industrial data lake.
The third thing:
We establish the demonstration role of the case set of industrial data (taking industry as an example); the value application of data in each industry has an evaluation and indicator system, which must be quantified. This is the result of our repeated investment and the trial and error of a large number of projects over the years experience of. Take industry as an example. With the deep penetration of data in the product market, the future industry involves the entire link of product design, production, service, and sales. Each link requires different companies to participate. In 2020, many factories need to achieve personalized customization of user needs, intelligent production of products, The inter-factory, inter-channel collaboration and service extension extend to customers that require Internet and data interconnection to complete. Regional and national-level Internet platforms provide convenience for the upstream and downstream of the industrial chain. The elements of this platform for industrial enterprises include: information processing, network connection, data sharing, wireless technology, big data processing, Internet of Things technology, and even the application of many new technologies, such as artificial intelligence, involving a wide range and great! Therefore, let the data integrate the enterprise content to quantify the industry, as shown below:
1) Intelligent production, intelligent control, intelligent management, product yield, design collaboration, etc .; 2) supply chain order coordination, C2C or C2B customized services, end-to-end demand grasp; 3) production data, customer data, services Data and product data sharing to improve efficiency; 4) Data analysis provides a basis for market forecasting, inventory management, and logistics management; 5) Formation of market, sales, and product closed loop: equipment operation optimization, management optimization, and industrial upstream and downstream cooperation optimization . Things, one, establish a vertical data industry alliance, two, establish an industrial data open and shared portal, three, establish an industrial data value index system, these three things are completed, in order to achieve the so-called industrial intelligence, so the author believes that these tasks in 2020 Will be carried out in an orderly manner. Foresighted companies can be deployed in advance. Second, the development trend of the big data industry promoted by local governments mainly includes the following trends: 1) Trend 1. The deep integration of big data and the real economy At present, it seems that the government engages in big data mainly because 1 / the government does projects through financial means to stimulate enterprise R & D, Reduce costs and increase efficiency to obtain expected returns, absorb social capital and continue to follow up, invest in innovation, capital efficiency efficiency takes effect in the real economy, and improve competitiveness. Use the earned tax to develop the big data industry. The value of data in the real economy has become a core indicator for measuring the development of the big data industry. The industrialization of data is not an important indicator. The digitalization of the industry and the quantifiable value are the standards for measuring the development of the big data industry. 2) Trend 2. The integration and development of big data and the blockchain industry; in the central government ’s important instructions on blockchain, blockchain technology can further promote government data opening and sharing as a new action plan for the development of the data industry. It is an effective supplement to the current big data for data collection, management, processing and analysis. On the basis of cloud computing, big data and blockchain will be a good partner. The key, private key and "URL" are linked as a bridge. The information is stored in the database, and then the information is double-helix encrypted and chained, which can effectively ensure that the data is not modified. The blockchain will "patch" big data. Everyone has been looking for solutions to data security issues. The blockchain technology that has emerged in recent years has significant significance for key links such as data circulation and sharing. The biggest significance of this method is that it can make the data asset, once it is generated, it will always carry the "brand" of the original author. Even after numerous copies, reprints and transmissions on the network, it can also clarify the producer and owner of the data. This makes data more secure when trading as commodities or assets. Blockchain big data has become a good medicine to solve the open sharing of government data. 4) Trend 3. Big data has begun to be more widely used in the field of government governance. Government governance has been the main battlefield for data to play an important role in recent years. The following centralized application will continue to be widely used in the future, and will be quickly implemented: 1) Start to establish an economic development decision analysis application: based on the district government affairs big data center, establish an economic operation big data analysis model to analyze and predict regional economic operation trends Sentence. Improve the economic operation monitoring and analysis system, strengthen basic data management, and improve the quality and level of economic operation monitoring and analysis. Through the analysis of key industries, key enterprises and key products, timely discover the emergence and tendency problems, and establish and improve the analysis and reporting system. 2) Start more smart social governance applications. Based on a unified electronic map and grid, integrated access to the business systems of various relevant departments, relying on geographic information, video surveillance, intelligent perception, mobile Internet, telephone hotline and other information collection methods, establish cross-department, cross-layer linkage, visualization, flattening The comprehensive command platform supports the monitoring, prediction, early warning and emergency command of emergencies, and establishes an intensive and efficient, shared and coordinated social governance model. 3) Start to focus on business APP applications. Establish a mobile government application system, realize mobile office, collaborative approval, promote flat, transparent, mobile, and intelligent office methods, improve cross-department government business collaboration efficiency, reduce administrative costs, and continuously improve and optimize the parallel approval process for each functional area Support for non-secret information processing and the promotion of the reform of “transforming functions, methods and styles” is required. 4) Proactive public service application. Accelerate the construction of smart old-age care, smart education, smart community, smart tourism, and precision poverty alleviation, and form a mobile and integrated service capacity for online and offline collaboration, service supervision and coordination, and promote the equalization, universalization, and convenience of basic public services . One is to improve and improve public service standards around the public service list, improve the management mechanism of public service items, and promote the dynamic management of public service items. Taking data as the center, make full use of government data resources, collect and use socialized data resources, and the government provides proactive and predictable public service information disclosure and open interaction. 5) Strengthen the application of talent services. Gather and integrate various resources such as government, society, and market services to realize policy services, innovation and entrepreneurship services, talent topics, information services, policy information, application centers, job search and recruitment, technical cooperation, investment and financing, research and development platforms, exchange training, and settlement Platform functions such as services provide talents with multi-functional, comprehensive and professional one-stop services. To realize the connection and interaction of talents, projects, experts and functional departments, whether it is talents looking for work, companies recruiting talents, or funds looking for projects, talents seeking patent technology transfer, multi-dimensional interaction can be conducted through the "Talent Connect APP" platform to form cooperation intentions. Change the working mode of talents, use information technology to actively integrate into the construction of digital government, and innovate the talent service mechanism. Trend 4. Building a unified public cloud big data platform from big data platform to big data cloud platform has become an important choice for the government to build a big data platform, rather than a locally deployed big data platform. Government data collection, provision, maintenance, and management are one This long-term mechanism is to enhance the accuracy, completeness and consistency of big data in government affairs, and provide powerful support for the realization of "digital government" with powerful data, algorithms and computing power. This goal can only be achieved on the cloud, otherwise the data chimney will be broken in the future, and new chimneys cannot be established continuously. Trend V. Accelerating the construction of a big data support system The government began to realize that the development of the big data industry requires the construction of an ecology rather than many projects. The construction of the data ecology has become a very core link in the development of big data. For example, building a big data industry portal: based on spreading mainstream values, leading public opinion, pursuing the first time, quickly speaking, admiring kindness, fresh style, pursuing "correct orientation, pioneering innovation, and reporting on the development trends of the leading big data industry at home and abroad To provide ideological impetus for the reform and construction of the "digital government." For example, the establishment of an evaluation agency for the big data industry: establishment of supporting policies and sound management mechanisms in the areas of business process reengineering, post-event supervision, data sharing, and application of electronic materials. Technological and institutional innovations promote the overall government construction. Accelerate the improvement of the relevant regulations on the management of information engineering construction projects in our district. For example: establish a "digital government" construction and operation performance assessment indicators, evaluate bidding to scientifically evaluate the construction results, operation situation, Evaluation of investment benefits, to achieve "promote construction by evaluation" and "promote use by evaluation." On this basis, explore to further refine and expand the scope of quantitative assessment, covering local municipal departments and staff at all levels, to achieve district-wide government services and evaluation Digitalization of supervision and governance. Further establishment of training base: For example, further strengthen training, create a good learning and practice environment, strengthen the construction of a "digital government" talent team, and train comprehensive talents who are proficient in government business and can use Internet technology and information technology to carry out work. Reform and construction of "digital government" Include the content of learning and training for leading cadres and government staff at all levels, establish a training mechanism that combines universality and pertinence, and improve the awareness and quality of "digital government" construction. Third, and finally, the development trend forecast of the Big Data Administration ; Why single out this discussion, because this institution is too special, responsibility and mission is too important, it is said, love someone let him do big data Authority director, but also to hate a person to do big data Administration Director, The Data Administration has become the hottest and busiest government work unit. At present, the country has strategically chosen to develop the big data industry, and has quickly established more than 30 big data administrations across the country, producing at least 100 types of outstanding Big data projects involving government affairs, agriculture, industry, service industry, people's livelihood, etc. In the field, there are dozens of big data bureaus that the author communicates with. Through communication, I found that the leader of the big data bureau summarized a few keywords, with many things, remarkable achievements, and a bright future. Some people are full of energy, while others I am a little confused about the job responsibilities and future development of the Big Data Administration, and even some work frustration and neglect. The reason is that big data is a new department, a new direction, the system needs to be improved, the responsibilities need to be clear, and many things are responsible. The big point is that big data is a basket that can be loaded into everything. Any job can be related to data. The small point is that the rights are limited. The work content is nothing more than a dozen projects. In short, the work of the Big Data Administration, For innovators is paradise, for step-by-step cadres is Kang. So in 2020, as a new government department, there are routines and good working methods, I think we need to interpret the big data bureau, the current work, only to understand the work itself The value and significance of the data can be better to work together. To understand the mission and original price of big data management, it is necessary to There are plans, but better planning to avoid detours, be aware of. For the prospect and layout in order to come, the station stands far away! Study and formulate new strategies, plans, policies and measures for the development of big data as soon as possible, and organize the formulation of local standards. The author estimates that the development trend of the big data management department is: 1) The big data administration becomes the data center of the service-oriented government 2) The big data administration becomes the decision-making brain of social development and national economy and people's livelihood 3) The big data administration becomes the government and enterprise Relationships, the main means of serving the people 4) The Big Data Administration becomes the institution for the formulation of social security and public safety policies; 5) The Big Data Administration becomes the analysis platform for leaders ’performance 6) The Big Data Administration becomes the engine of future social development Based on this prediction, the author also suggests that the focus of the Big Data Administration ’s in-class work should be: 1) To build a government data ecology, the government should view the value of data fusion and sharing from a higher perspective, and a well-established student will grow Create good projects, enterprises; establish a data center to provide data basis for all committees and bureaus' administrative work, support, use algorithms, data, and computing power to serve the people. Establishing a data center for government work, driving government work from management to governance is an important job of the current big data bureau; 2) To build an efficient digital government, provide various data products for the national economy and people's livelihood, and provide various data tools to support ; 3) local economic development for the country, the supply-side reform to provide data to support the same time, the face of industry trends, government various commissions Bureau, Administration of large data, we should do extracurricular work: 1) strengthen the training, pilot Yes, but with national policies as the guide, with industry experts as the lead, learning first and surpassing; without a good idea introduction, the leaders of many institutions are newly appointed, so urgently need to solve cognitive problems. 2) Participate more in meetings, move around, visit more, see more ideas, have more ideas, and not be confused; 3) Dare to practice, these years have many scientific and technological concepts, many leading cloud computers have not yet understood well, big data comes By now, big data has not been figured out, artificial intelligence has come, artificial intelligence has not figured out, blockchain has come, blockchain has not figured out, edge computing, quantum computing, VRAR has come, wave after wave, leaders have to do There are a lot of things, and it ’s not bad to understand these technological concepts within a few years of effort. So many concepts at a time, it is indeed a bit of a catch for ducks, and a hard catch;
Basically, based on the practice in 2019, the author deeply feels that the development of the big data industry is very rapid. It is often a few months for advanced projects and planning to replace backwardness, see the trend, follow the trend, and look forward to everyone in 2020. Take a detour and have a bigger harvest! Let us work together to contribute to the development of the big data industry! We do not predict the future, we create the future together! Come on!
Zhang Hancheng (WeChat: 13910942381) Research areas mainly include: Introduction to Big Data Fundamentals, Basic Principles and Technical Architecture of Blockchain, Big Data Application Practices in Enterprises and Governments, Business Models for Data-Driven Business Transformation, Medical Big Data Operating System, Finance and Taxation Big data, customs big data, poverty alleviation big data, retail big data, operator big data construction plan, tourism big data platform construction plan, data asset management, big data industry ecological analysis, data transaction market, blockchain, artificial intelligence, etc. The value of new technologies for traditional enterprises and enabling solutions.
2020-05-08
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