As digital government enters the post-epidemic era, what can PERCENT do with data intelligence?
Data comes first, then intelligence.
Text | Zhang Shuai
As the COVID-19 pandemic draws to a close, the construction of digital government has been pushed to a climax. IDC points out that the pandemic has brought digital platform and big data business opportunities in addition to the intelligent and modern government governance.
In 2019, there was a view in the industry that the construction of digital government had entered the 2.0 era, which was specifically manifested in the transition from "digitalization" to "digital intelligence". At the beginning of 2020, the black swan of the epidemic suddenly broke out, and the digital government, which had not yet evolved to a complete form, faced a major test of governance. Applications such as health codes found their place in epidemic prevention and control, and digital government applications after activating data became a powerful fulcrum for anti-epidemic efforts.
Maybe it’s time to talk about the next step of digital government. Su Meng, Chairman and CEO of Baifendian, recently accepted an interview with media including Leifeng.com, sharing how data intelligence can help build digital government and the progress of Baifendian’s digital government business.
Digital government in the post-epidemic era
The construction of digital government has undergone several iterations. Concepts such as e-government, network government, digital government, and smart government represent several stages of government informatization development. We are currently in the process of evolution from digital government to smart government.
Digital government has been very effective in the past forty years, but with the development of the times, the construction of digital government needs to be faster, more refined and more intelligent.
In November 2019, the Fourth Plenary Session of the 19th Central Committee of the Communist Party of China proposed to "establish and improve institutional rules for administrative management using Internet, big data, artificial intelligence and other technical means. Promote the construction of digital government and strengthen orderly data sharing."
Before the epidemic, the construction of digital government had already been accelerated, and the positive inspiration brought by digital government during the epidemic has led to further efforts to build digital government.
During the epidemic, data intelligence technology has connected government data, promoted the digital and intelligent transformation of various government departments, and achieved precise social governance under the integration of data intelligence technology and grid-based governance. During the epidemic, data intelligence has performed very well in improving the efficiency of government social governance.
Although some shortcomings in digital governance were exposed during the epidemic, such as the problems of refined management of various government business departments, insufficient data integration, insufficient technological empowerment, and weak scenario integration, these are more historical problems. The goal of digital government is precisely to solve these "difficult and complicated problems."
"The core of data intelligence has two major systems. First, it is a comprehensive technology system that is applied to the processing, analysis and decision-making of massive structured data. It is no longer a single point technology. This comprehensive technology system integrates multiple technologies such as big data, cloud computing, artificial intelligence, and the Internet of Things." Su Meng explained.
"At the second level, data intelligence is a system of intelligent applications. We now use it to connect the physical world and the digital world. It requires a complete set of intelligent application systems, including human-machine intelligent interaction, automated knowledge construction, knowledge extraction, knowledge services, and more and more machine-assisted and intelligent decision-making. Whether it is government decision-making or corporate policy, there is a complete set of intelligent application systems."
In the post-epidemic era, data intelligence can specifically make up for the shortcomings of digital government. Data intelligence is applied to the construction of digital government in three aspects:
-
Data governance, using big data operating systems, machine learning, data open services, data exchange and sharing and other technologies to build a data middle platform;
-
Data analysis, using natural language processing, model factory and other technologies to comprehensively reveal the laws of economic and social development through data analysis;
-
Data decision-making, using knowledge graphs, intelligent interaction, enhanced analysis and other technologies to assist in decision-making and judgment;
Not only was the digital government not affected by the epidemic, but it made governments at all levels realize its importance and they accelerated the construction of digital government.
What kind of “data” does digital government need?
Data comes first, then intelligence.
Previous government informatization construction has laid a solid foundation for the current digital government, but there are also some legacy issues, the most prominent of which is data fragmentation.
Su Meng told Leifeng.com that the lack of a sound data governance system and data standards is the biggest difficulty in data governance and analysis. At present, my country's current management model and information application model are still dominated by "fragmented fragmentation". Under the dual factors of top-down centralization and horizontal departmental separation, cross-departmental information collaboration faces many obstacles, resulting in an imperfect data governance structure and mechanism, and poor data governance capabilities.
Governments and departments at all levels have built numerous data sharing and service platforms, but these platforms generally have common characteristics such as single function, small coverage, low level of intensiveness, and data closure, which ultimately form data silos. Although the amount of data is large, it is difficult to convert it into real business value.
In 2018, the General Office of the State Council issued the "Implementation Plan for Further Deepening the 'Internet + Government Services' and Promoting the 'One Network, One Door, One Time' Reform of Government Services". The plan proposed to further promote data interconnection and interoperability among governments, shifting from the previous emphasis on the construction of vertical business systems to emphasizing horizontal connectivity capabilities, and from departmental divisions to overall operations with global deployment and platform-based collaboration.
After more than two years of practice, data intelligence has taken root in government business. The data middle platform suitable for business is very popular among the government, and data intelligence is the next step after the middle platform is built.
According to an IDC report, the overall size of China's digital government big data market in 2018 increased by 31.2% from 2017 to RMB 4.744 billion, of which the software and service market for data management and governance reached RMB 3.181 billion.
With a market share of 6.2%, Baifendian ranks fourth in the "Data Management and Governance Software and Services Market". As a big data intelligence company, Baifendian is an urgent need to supplement the digital government 2.0 era. Seeing this opportunity, Baifendian has selected digital government as a key area of expansion after 2019.
Su Meng frankly stated that the difficulty of To G business lies in the need for relatively deep experience in government data governance. Baifendian has spent four years serving more and more provincial and municipal government customers and has formed a mature product and solution system.
"Government data governance requires not only services but also mature experience. Experience is reflected in whether there are multiple components, tools, and overall planning and solution capabilities for data governance. The government needs comprehensive services," Su Meng pointed out.
How to arrange percentage points?
"The construction of digital government is accelerating, and investment in the field of government digitalization will continue to increase. The integrated application of government data and social data has become a focus, creating a large number of new models and new ecosystems. At the same time, the depth and breadth of data application will be further strengthened, promoting the deep integration of technologies such as big data and artificial intelligence with various industries." Su Meng concluded.
Percentage points are mainly deployed in four areas: data government, emergency management, public safety, and environmental protection.
Specifically:
-
Digital government: Build a provincial government data asset management platform, build a decision-making model and indicator system for government business scenarios, and assist in decision-making and analysis of major issues;
-
Emergency management: Build an emergency big data resource aggregation and governance system, which is applied to hazardous chemicals supervision, flood prevention, typhoon prevention, drought relief, and smart firefighting;
-
Public security: Develop integrated dynamic control systems and full-dimensional tactics models for use in suspicious object control, crime prediction analysis, case detection and other scenarios;
-
Environmental protection: Build an ecological environment big data platform, establish intelligent application engines such as a fusion algorithm system and a common business model library, and apply them to scenarios such as key emission enterprise supervision, pollution prediction and tracing.
The era of Digital Government 2.0 means that digital government construction is entering a new era marked by dataization and data innovation.
Leifeng.com has observed that some companies that can only provide single-point technology or single-point products are finding it difficult to survive. The main reason is that it is difficult for them to solve the comprehensive problems faced by the government. Based on existing scenarios and new scenarios in the future, data intelligence can play a role under better data governance, especially making government decisions more intelligent. This is a new opportunity for companies like %100.
Su Meng also mentioned that in response to the impact of the epidemic, Percentage Point is also making adjustments around digital government and enterprise digital transformation businesses.
First, it will sink with the sinking of digital government business. From the perspective of administrative division, driven by the epidemic, digitalization is not only limited to the level of first- and second-tier cities, but also sinking to third- and fourth-tier cities, and even smaller cities. These cities also have the need for digital transformation. For example, the Xueliang Project done by the public security department cannot play a role if the data is incomplete. Therefore, the sinking of digital transformation is a trend, whether it is gridding in the same geographical area or pushing from large cities to marginal areas.
Secondly, PBX is also accelerating the development of online products. Affected by the COVID-19 pandemic, the real economy is facing a huge test. At the same time, the online industry has been given ample room for development, which has put forward higher requirements for the digitalization of enterprises. PBX's new products will target this part of the online market.
Previous recommendations
*Recruitment:
Leiphone.com is urgently recruiting senior editors for the hot topics group. Interested parties please send your resume to liufangping@leiphone.com
京公网安备 11010802033920号