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Product Overview

DeepGovernor is an overall intelligent government decision-making support system developed by PERCENT. Based on complex decision-making models, the solution could achieve situation perception, prediction analysis, simulation and countermeasures analysis. By doing so, DeepGovernor is able to make ex-ante judgement, exert in-process control, and provide post feedback. The system pools cross-field administrative data and explores underlying association of those data by applying big data and artificial intelligence technologies. Besides, it could make comprehensive decision and special subject decisions through a series of decision-making models as well as stimulate and optimize, in real time, the decision effect. With DeepGovernor, governments can improve their decision-making efficiency, reduce decision-making risks and improve their governance level.

Product Functions

Data Gathering and Sharing

DeepGovernor gathers administrative information from all government divisions and builds an authoritative database of government affairs. The system, by utilizing big data platform’s powerful processing capability, could integrate, process and gather all structured data and unstructured data, providing data support for related divisions in their data analysis practice. The system also provides data exchange service of documents, databases and APIs etc., among different systems and divisions of government. It provides cross-division data sharing, distributed calculation and distributed storage for the realization of one-stop unified data management.


Overall Situation Perception

Through the application of various tools, administrative related data is displayed such as population, economy, employment, medical treatment, education and resources, which enables the government departments gain insights into the actual situations in related business scopes. With the aforementioned data, DeepGovernor could explore the relevance of multi-dimensional variables and the trends in related fields.


Comprehensive Decision-making and Special Subject Decision-making

The system combines variables in various fields, including population, society, economy, environment, resource and so on, to establish a comprehensive system dynamics model. The model is used to simulate the macroscopic development situation of the society and predict different indicators data. In addition, by adjusting policy variables, DeepGovernor could simulate the implementation effects of different policies and initiatives, thus helping the government in making development plan. In specific industry sectors, special subject decision-making model could, from administrative data, detect underlying association, causal relationship and potential risks. Combined with consultation and analysis from industry experts, the system could also provide support for administrative decision-making.


Decision Effect Evaluation and Feedback

DeepGovernor could simulate, evaluate and adjust policy implementation effect through simulation model. The system could also monitor and compare the data of different policies after implementation. In other words, the system provides decision makers and researchers with an efficient tool for quantitative evaluation and feedback. What’ more, decision-making plan, data involved in policy implementation cycle, problems to be solved and their countermeasures will be gathered in the form of online report.


Product Functions

Data Gathering and Sharing

DeepGovernor gathers administrative information from all government divisions and builds an authoritative database of government affairs. The system, by utilizing big data platform’s powerful processing capability, could integrate, process and gather all structured data and unstructured data, providing data support for related divisions in their data analysis practice. The system also provides data exchange service of documents, databases and APIs etc., among different systems and divisions of government. It provides cross-division data sharing, distributed calculation and distributed storage for the realization of one-stop unified data management.


Overall Situation Perception

Through the application of various tools, administrative related data is displayed such as population, economy, employment, medical treatment, education and resources, which enables the government departments gain insights into the actual situations in related business scopes. With the aforementioned data, DeepGovernor could explore the relevance of multi-dimensional variables and the trends in related fields.


Comprehensive Decision-making and Special Subject Decision-making

The system combines variables in various fields, including population, society, economy, environment, resource and so on, to establish a comprehensive system dynamics model. The model is used to simulate the macroscopic development situation of the society and predict different indicators data. In addition, by adjusting policy variables, DeepGovernor could simulate the implementation effects of different policies and initiatives, thus helping the government in making development plan. In specific industry sectors, special subject decision-making model could, from administrative data, detect underlying association, causal relationship and potential risks. Combined with consultation and analysis from industry experts, the system could also provide support for administrative decision-making.


Decision Effect Evaluation and Feedback

DeepGovernor could simulate, evaluate and adjust policy implementation effect through simulation model. The system could also monitor and compare the data of different policies after implementation. In other words, the system provides decision makers and researchers with an efficient tool for quantitative evaluation and feedback. What’ more, decision-making plan, data involved in policy implementation cycle, problems to be solved and their countermeasures will be gathered in the form of online report.


Product Functions

Data Gathering and Sharing

DeepGovernor gathers administrative information from all government divisions and builds an authoritative database of government affairs. The system, by utilizing big data platform’s powerful processing capability, could integrate, process and gather all structured data and unstructured data, providing data support for related divisions in their data analysis practice. The system also provides data exchange service of documents, databases and APIs etc., among different systems and divisions of government. It provides cross-division data sharing, distributed calculation and distributed storage for the realization of one-stop unified data management.


Overall Situation Perception

Through the application of various tools, administrative related data is displayed such as population, economy, employment, medical treatment, education and resources, which enables the government departments gain insights into the actual situations in related business scopes. With the aforementioned data, DeepGovernor could explore the relevance of multi-dimensional variables and the trends in related fields.


Comprehensive Decision-making and Special Subject Decision-making

The system combines variables in various fields, including population, society, economy, environment, resource and so on, to establish a comprehensive system dynamics model. The model is used to simulate the macroscopic development situation of the society and predict different indicators data. In addition, by adjusting policy variables, DeepGovernor could simulate the implementation effects of different policies and initiatives, thus helping the government in making development plan. In specific industry sectors, special subject decision-making model could, from administrative data, detect underlying association, causal relationship and potential risks. Combined with consultation and analysis from industry experts, the system could also provide support for administrative decision-making.


Decision Effect Evaluation and Feedback

DeepGovernor could simulate, evaluate and adjust policy implementation effect through simulation model. The system could also monitor and compare the data of different policies after implementation. In other words, the system provides decision makers and researchers with an efficient tool for quantitative evaluation and feedback. What’ more, decision-making plan, data involved in policy implementation cycle, problems to be solved and their countermeasures will be gathered in the form of online report.


Product Advantages

Effective Big Data Processing

Based on the self-developed big data system BD-OS of PERCENT, DeepGovernor could process, integrate and exchange massive complicated data and establish a one-stop data portal and data warehouse. What’ more, the system is capable of making statistics to the application of multi-dimensional data, monitor data flow direction in real time and achieve visual analysis of data interaction.


Diversified Self-developed Decision-making Model

DeepGovernor utilizes over 50 different comprehensive decision-making models for social and economic development under 6 categories, including system dynamics model, microscope simulation model, multi-factor population prediction model, resource supply-demand analysis model, GIS multi-lever overlap model etc., so as to provide precise analysis and forecast service for government in its decision-making process. The system could simulate people’s social behaviors, and by making use of the statistical population data model, which indicates the new frontier of the application of intelligent decision-making in government affairs.


Built-in Industry Knowledge from Leading Experts

A star-stubbed think tank consisting specialists from Peking University, Tsinghua University, National School of Development, Chinese Academy of Sciences and other institutions provides the system with specialist business experiences in demography, economics, sociology and other disciplines.


Intelligent Interactive Virtual Sand Table

Multiple factors influencing decision-making will be presented panoramically, in depth, and at different levels by DeepGovernor. The system could present in multiple dimensions, as well as conduct in-depth analysis on macroscopic data and related businesses. Combined with data including GIS map, population size, population density, climate, geography, natural environment, medical treatment, education and resources, the system could identify factors influencing policies in different regions through decision-making model calculation, so that policy adjustment effect can be predicted and compared. The system is helpful in that it offers decision makers in the government to develop an overall view and gain insights into the actual situation of related business fields;in addition, it enables governmental decision makers to explore the relevance among multi-dimensional variables and the development trend in related fields from dynamic data. In this way, they could scientifically develop policies in a timely manner, and improve their decision-making efficiency.


Intelligent Countermeasure and Optimization

With the help of prediction and analysis models, the system provides intelligent countermeasure to solve actual problems. In addition, through machine learning and expert verification, the model will be constantly optimized and upgraded, and countermeasures will also be continually optimized.


Effective Big Data Processing

Based on the self-developed big data system BD-OS of PERCENT, DeepGovernor could process, integrate and exchange massive complicated data and establish a one-stop data portal and data warehouse. What’ more, the system is capable of making statistics to the application of multi-dimensional data, monitor data flow direction in real time and achieve visual analysis of data interaction.


Diversified Self-developed Decision-making Model

DeepGovernor utilizes over 50 different comprehensive decision-making models for social and economic development under 6 categories, including system dynamics model, microscope simulation model, multi-factor population prediction model, resource supply-demand analysis model, GIS multi-lever overlap model etc., so as to provide precise analysis and forecast service for government in its decision-making process. The system could simulate people’s social behaviors, and by making use of the statistical population data model, which indicates the new frontier of the application of intelligent decision-making in government affairs.


Built-in Industry Knowledge from Leading Experts

A star-stubbed think tank consisting specialists from Peking University, Tsinghua University, National School of Development, Chinese Academy of Sciences and other institutions provides the system with specialist business experiences in demography, economics, sociology and other disciplines.


Intelligent Interactive Virtual Sand Table

Multiple factors influencing decision-making will be presented panoramically, in depth, and at different levels by DeepGovernor. The system could present in multiple dimensions, as well as conduct in-depth analysis on macroscopic data and related businesses. Combined with data including GIS map, population size, population density, climate, geography, natural environment, medical treatment, education and resources, the system could identify factors influencing policies in different regions through decision-making model calculation, so that policy adjustment effect can be predicted and compared. The system is helpful in that it offers decision makers in the government to develop an overall view and gain insights into the actual situation of related business fields;in addition, it enables governmental decision makers to explore the relevance among multi-dimensional variables and the development trend in related fields from dynamic data. In this way, they could scientifically develop policies in a timely manner, and improve their decision-making efficiency.


Intelligent Countermeasure and Optimization

With the help of prediction and analysis models, the system provides intelligent countermeasure to solve actual problems. In addition, through machine learning and expert verification, the model will be constantly optimized and upgraded, and countermeasures will also be continually optimized.


Effective Big Data Processing

Based on the self-developed big data system BD-OS of PERCENT, DeepGovernor could process, integrate and exchange massive complicated data and establish a one-stop data portal and data warehouse. What’ more, the system is capable of making statistics to the application of multi-dimensional data, monitor data flow direction in real time and achieve visual analysis of data interaction.


Diversified Self-developed Decision-making Model

DeepGovernor utilizes over 50 different comprehensive decision-making models for social and economic development under 6 categories, including system dynamics model, microscope simulation model, multi-factor population prediction model, resource supply-demand analysis model, GIS multi-lever overlap model etc., so as to provide precise analysis and forecast service for government in its decision-making process. The system could simulate people’s social behaviors, and by making use of the statistical population data model, which indicates the new frontier of the application of intelligent decision-making in government affairs.


Built-in Industry Knowledge from Leading Experts

A star-stubbed think tank consisting specialists from Peking University, Tsinghua University, National School of Development, Chinese Academy of Sciences and other institutions provides the system with specialist business experiences in demography, economics, sociology and other disciplines.


Intelligent Interactive Virtual Sand Table

Multiple factors influencing decision-making will be presented panoramically, in depth, and at different levels by DeepGovernor. The system could present in multiple dimensions, as well as conduct in-depth analysis on macroscopic data and related businesses. Combined with data including GIS map, population size, population density, climate, geography, natural environment, medical treatment, education and resources, the system could identify factors influencing policies in different regions through decision-making model calculation, so that policy adjustment effect can be predicted and compared. The system is helpful in that it offers decision makers in the government to develop an overall view and gain insights into the actual situation of related business fields;in addition, it enables governmental decision makers to explore the relevance among multi-dimensional variables and the development trend in related fields from dynamic data. In this way, they could scientifically develop policies in a timely manner, and improve their decision-making efficiency.


Intelligent Countermeasure and Optimization

With the help of prediction and analysis models, the system provides intelligent countermeasure to solve actual problems. In addition, through machine learning and expert verification, the model will be constantly optimized and upgraded, and countermeasures will also be continually optimized.


Application Scenario

Through the built-in sub-factor and multiple-status population forecast model, government departments could configure parameters by time span, status, area coverage and other dimensions, and obtain population forecast results. DeepGovernor provides predictive data support for government departments while making policies regarding population, education, medical treatment, employment and other fields. The system could also predict the influence of different policies on population growth and population size. When the forecast results of different plans are calculated by model, the system will compare them with expected results and verify them, which will be beneficial for government departments to develop and adjust their policies.


With DeepGovernor, government departments could gain insights into situations of attack and dissemination of infectious disease in a certain area, and gather, analyze and examine the related macroscopic statistics of the infectious disease. Combined with the data of GIS map, population size, population density, climate, geography, natural environment, the level of medical treatment facilities etc., and based on the spread situation and disease outbreak probability in different areas through forecast model calculation, the system could identify the areas with higher risks of being exposed to the epidemic and predict the epidemic’s dissemination trend. With the help of the system, government departments could work out effective countermeasures in a timely manner, be proactive in disease prevention, control and early warning, and minimize the losses incurred by the infectious disease.


The system could analyze the size of school-aged population and its growth in a certain area, based on which the government’s decision on whether the supply of education resources should be increased will be made. GIS map provides a clear view of the current education facilities’ scope of service and their service capabilities, which enables the comparison and evaluation of education resources supply levels in different areas. The DeepGovernor system is built with a model for the computation of supply-demand data which can also be used for spatial-layer matching to offer reference for governmental administrative departments. By doing so, the government could develop solutions that meet requirements of the real supply and demand situation of education resources.


Based on several data sources, including business entity database, macro economy database, tax department’s self-owned database, taxpayer behavior database and so on, the system could run macroscopic statistics and analysis on enterprise data, taxpayer data and tax income data to predict tax income and its growing rate. What’s more, the system could also analyze and compare tax source structures, identify potential growing points of tax sources, predict the risk of tax source decreasing, and conduct predictive and cause analysis accordingly.


Population Forecast
Risk forecast for Infectious Disease

Through the built-in sub-factor and multiple-status population forecast model, government departments could configure parameters by time span, status, area coverage and other dimensions, and obtain population forecast results. DeepGovernor provides predictive data support for government departments while making policies regarding population, education, medical treatment, employment and other fields. The system could also predict the influence of different policies on population growth and population size. When the forecast results of different plans are calculated by model, the system will compare them with expected results and verify them, which will be beneficial for government departments to develop and adjust their policies.


With DeepGovernor, government departments could gain insights into situations of attack and dissemination of infectious disease in a certain area, and gather, analyze and examine the related macroscopic statistics of the infectious disease. Combined with the data of GIS map, population size, population density, climate, geography, natural environment, the level of medical treatment facilities etc., and based on the spread situation and disease outbreak probability in different areas through forecast model calculation, the system could identify the areas with higher risks of being exposed to the epidemic and predict the epidemic’s dissemination trend. With the help of the system, government departments could work out effective countermeasures in a timely manner, be proactive in disease prevention, control and early warning, and minimize the losses incurred by the infectious disease.


Education Resources Supply and Demand Analysis
Tax Source Structure Analysis

The system could analyze the size of school-aged population and its growth in a certain area, based on which the government’s decision on whether the supply of education resources should be increased will be made. GIS map provides a clear view of the current education facilities’ scope of service and their service capabilities, which enables the comparison and evaluation of education resources supply levels in different areas. The DeepGovernor system is built with a model for the computation of supply-demand data which can also be used for spatial-layer matching to offer reference for governmental administrative departments. By doing so, the government could develop solutions that meet requirements of the real supply and demand situation of education resources.


Based on several data sources, including business entity database, macro economy database, tax department’s self-owned database, taxpayer behavior database and so on, the system could run macroscopic statistics and analysis on enterprise data, taxpayer data and tax income data to predict tax income and its growing rate. What’s more, the system could also analyze and compare tax source structures, identify potential growing points of tax sources, predict the risk of tax source decreasing, and conduct predictive and cause analysis accordingly.


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