Big data analysis and judgment platform of the Commission for Discipline Inspection and the Commission for Supervision

By collecting multi-dimensional integrity related data, build an integrity big data analysis base, and accurately predict the signal of discipline violation through big data, Early warning of integrity risks, accurate tracking of disciplinary violations, in-depth integration of disciplinary inspection business scenarios, and building an accurate and intelligent big data platform.

functional module

  • Lead summary

    Mining and clue research and judgment are carried out based on multi scenario data such as personnel and social relations, funds, business, calls, and business run enterprises. Effective clues are summarized by subject and type, and clues such as personnel penetration, multi-level association, funds, business, calls, and location search are visually displayed.
  • Private line data

    An overview of family assets, an analysis of the economic situation of family and collateral family income support, a visual display of data such as integrity files, family members and important social relations and their salary estimates, family business, family real estate information (including foreign real estate), motor vehicles, water and gas and other registration information.
  • Bank flow screening

    Realize efficient analysis of various bank flow and other transaction flow, and realize research and judgment of counterparty identity, early warning of abnormal transaction behavior, and multi-layer transaction flow penetration. Help investigators quickly grasp the financial clues.
  • Call list analysis

    Realize the identification of the calling counterpart, social intimacy analysis, call habit analysis, etc.
  • Locating and searching

    In combination with personnel location information, bank flow, social relations and other data, high-frequency location analysis, consumption place and consumption record association, space-time intersection personnel research and judgment, etc. can be achieved, which can provide case handlers with multiple clues such as permanent location analysis, research and judgment of access to consumption places, intimate personnel association, peer cohabitation, etc.
  • Public opinion data

    Integrate and process multiple public opinion data sources, and view the details of the petition based on condition search.
  • Association Query

    It can find the direct relationship between people, people and enterprises, enterprises and enterprises, and assist the case handlers to sort out relevant enterprise information clues.
  • Enterprise clue

    Research and judge the business and business enterprises run by families and relatives, investment and employment situation, analysis of bidding association, and research and judgment of call capital clues, to provide effective clue information.
  • Data upload

    Unified data upload entrance, bank flow, call list, address book, real estate, motor vehicles, travel data, etc.

Overall architecture

System value

The construction of the big data analysis and judgment platform of the Commission for Discipline Inspection and the Commission for Supervision is the need of anti-corruption struggle, the need to adapt to the development of modern informatization, new means and tools, and the need for standardization,

By building the big data analysis, research and judgment platform of the Intelligent Commission for Discipline Inspection and the Supervision Commission, we can ensure the normalization and standardization of the trial work.

01
Achieve full supervision
Systematically, efficiently, accurately and comprehensively, realize the comprehensive supervision of internal personnel, including public opinion information of all channels, personal asset information, family business information, etc.
01
Achieve full supervision
  • Overall supervision
  • Public opinion information
  • Personal asset information
  • Family Business Information
02
Improve trial efficiency
The traditional supervision method consumes a lot of manpower and material resources, and the system realizes automatic and intelligent supervision, which greatly improves the supervision efficiency, Improve the efficiency of trial work, speed up the trial of cases, and ease the backlog of cases.
02
Improve trial efficiency
  • automation
  • Intelligent supervision
  • Review efficiency
03
Improve review quality
Advanced big data analysis technology and data analysis algorithm are used to effectively mine potential problems and risks, find the links and contradictions between evidences, and improve the accuracy and quality of the trial.
03
Improve review quality
  • Improve the accuracy of hearing
  • Improve review quality
04
Promote data based case handling
Realize data based case handling. Through data analysis and mining technology, the supervision department can better understand the problems and risks behind the case, find and solve problems in time, and avoid unfair and unfair case handling.
04
Promote data based case handling
  • Data analysis and mining technology
  • discover problems
  • Address risks
05
Promote clean construction
Through data supervision and big data analysis, we can build a clean government and prevent and control risks, improve the efficiency and credibility of discipline inspection and supervision institutions, and promote strict governance of the Party in an all-round way.
05
Promote clean construction
  • Data based supervision and big data analysis
  • Risk prevention and control

Data security mechanism

data sources
  • Public data: compliant use
  • Self owned data of discipline inspection commission: compliance use
  • Private data: based on subject authorization or public service
Data usage
  • Before filing, all warning clues are based on public data and discipline
    Self owned data.
  • After the case is filed, the investigators can only view the investigated and the assisted
    Query personnel related data. Unauthorized data cannot be viewed.
Data Authorization Process
  • Only after the case is filed, the Commission for Discipline Inspection and the Supervision Commission will issue the case filing letter and assist in the investigation
    The data holder cooperates to output data based on corresponding letters.
As a leading smart party building platform in the country, we adhere to the principle of the party managing data and serving the people! Guided by party building, combined with practical work scenarios such as discipline inspection, moral education, party affairs management, and party building course learning, we helped the national party organizations speed up the innovation of the party building work model, closely cooperate with the national party building product service partners, and jointly provide customers with more complete products and better services.

contact us

Address: People's Daily, No. 2, Jintai West Road, Chaoyang District, Beijing
New Media Building

Tel.: 010-65367828

Email: djy@peopledata.com.cn

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