Inspur Big-Data-Accurate P.A. Cloud

The overall goal of the big data poverty alleviation platform is to make two strategic actions of “help the poor” and “big data” as leading model of government cloud implementation. In accordance with the “full support, comprehensive help”, defining precise poverty alleviation, precision poverty removal as the goal, in the way of “big data + system framework design + precision management”, taking the "five-batch" and "ten actions" as the main way out of poverty, based on the existing participatory data, integrating the data resources of relevant departments, the big data integrated management platform which is for the province's poverty alleviation unified work is formed. This platform will aid the work including poverty alleviation, command scheduling, project fund supervision, work performance evaluation, task supervision and evaluation, information service sharing and interactive participation, etc.

Functions

Archive and card establishment system

The system achieves a comprehensive monitoring of poverty reduction targets, improves poverty alleviation and poverty removal assessment system, provides the basis for the next step of precision poverty alleviation.

1.Data collection for poor villages and towns

Using archive and card establishment function, the system can achieve information collection and maintenance of the basic situation of the poor villages and towns, the work of the village team situation, helping plan, etc.

2.Perfection of basic information for poverty alleviation object

The system can achieve information collection and maintenance of the basic information such as poverty alleviation object name, identity card, contact, the causes of poverty, etc., the helping information such as: whether there are helping people, helping projects, annual plan of poverty removal.

3.Helping measures and information of poor households on benefit

The system can realize collection and maintenance of poverty alleviation development projects implementation and information of poor households on benefit in local region. It maintains the situation for project implementation and the coverage of farmers on benefit that very year. According to the situation of the project implementation that year, the system completes project category, time, content, size and funding, etc., protects the poor households from poverty.

4.Supporting plan information

The system can realize collection and maintenance of the plan information of poverty alleviation assistance programs in the region. According to the situation of the project, complete the information including the project implementation location, project category, project plan, unit of measurement and the situation of funds, etc.

5.Relocation for Poverty Alleviation

The system can realize relocation plan for poverty alleviation, collect and maintain basic information of immigrants.

6.Entire-village advancement

The system can realize the collection and maintenance of infrastructure and public service demand information in the process of the whole village advancement in the region.

7.Micro credit

The system can maintain and improve monthly / quarterly information of micro-credit.

Responsibility monitoring platform

The platform can show how to implement poverty alleviation through the big data and fulfill the "five main and five guarantees" responsibility from place to place, and achieve accurate responsibility. Mainly through the layers of the organization chart, it can show poverty alleviation responsible person, responsible unit of area, city, county, township and village levels. And it can display the number of warning information at the same level and lower levels in each administrative region. At the same time, the platform can show the region's warning information and detailed content in the map.

Task monitoring platform

Task monitoring platform can show how to implement poverty alleviation through the big data and work tasks specified in "five batch, ten action", realize precise helping. It can display the overall plan, poverty alleviation plan, implementation progress, completion status of "five batch, ten action" mainly in the form of map, histogram, pie chart, list, etc. It shows the number and content of the warning information at each level and next level of the administrative region.

Project funds monitoring platform

Project funds monitoring platform can show how to implement poverty alleviation through the big data to supervise local poverty alleviation programs and funding in every region, and realize the project funds in place precisely and helping precisely. It can real-time demonstrate whole flow complete status of projects at all levels, including declaring poverty, assessment, project approval, funding, security, implementation, supervision, inspection, etc., mainly via the list, legend. It shows the number and content of the warning information at each level and lower level of the administrative region. At the same time, the platform can show detailed information of poverty alleviation projects in the current administrative area in the map.

Poverty removal management platform

Poverty removal management platform can demonstrate poverty alleviation plan and completion status of poor households in the whole province's administrative regions, achieve accurate poverty alleviation. Mainly via the form of list, it displays poverty alleviation standard, poverty index ("four views" value), poverty alleviation plan and completion status of every poverty county, poverty town, poverty village. Through poverty archives, it shows the program for poor families out of poverty, poverty alleviation standard, poverty index ("four views" value), the situation of receiving medical assistance, basic information of poor households, electronic files of the whole process including poverty assessment, poverty assistant, poverty removal, geographic information, etc.

Early warning and monitoring platform

This platform can show how to implement poverty alleviation through the big data to achieve accurate poverty alleviation, effective poverty alleviation for poor areas and poor population. Mainly in accordance with the mechanism of “analysis of early warning, inspection and verification, supervision and implementation, elimination of early warning”, through record early warning information of steps including responsibility chain, task chain, the project funds standardized operation, poverty exit, in the province, city, county and village, the information can be real time sorted, precisely scheduled.

Superiority

Identify poor population via Big data

Identifying poor people is the source of poverty alleviation. First, traditional mechanism of archive and card establishment cannot ensure accurate identification of poor people. Second, big data precision poverty alleviation is using big data technology to acquire, compare internal and external data, implement comprehensive identification and evaluation of the poor people. It lays a solid foundation for planning and implementation of poverty alleviation and development work.

Poverty alleviation projects and funds management using big data

Using big data technology, based on the existing internal data related to archive and card establishment, project funds, visiting poverty, the program of “big data precise poverty alleviation” make full use of land, agriculture, forestry, transportation and other industry data, network video data and Internet data, grasp the implementation of poverty alleviation projects and the use of funds comprehensively and dynamically. It ensures poverty alleviation projects in place, reasonable development, protects the safe and effective operation of the special fund for poverty alleviation, and maximizes the use efficiency of the poverty alleviation funds.

Poverty detection and evaluation using big data

The cloud uses big data for precise poverty alleviation to improve poverty monitoring index system, collects internal and external data related to poor people, poverty alleviation projects, assesses poverty area, poverty population situation and poverty alleviation project benefits actually, accurately, scientifically and reasonably. It provides data support for the development of scientific poverty alleviation policy.

Accurate poverty alleviation and precise poverty removal using big data

Real big data precise poverty alleviation aims at using big data technology to expand the channels of information collection, improve data processing capabilities and efficiency, deeply mine the value of data. It provides true, reliable, timely and comprehensive decision data for poverty alleviation work to achieve accurate poverty alleviation and precise poverty removal ultimately.

User cases

Guizhou provincial government, etc.

Partner information

Inspur General Software Co., Ltd.
http://www.inspur.com/