IOT VISUALIZATION
SMART SOCIAL INSURANCE
As a part of the smart IoT application layer, it helps data analysis and visualization
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After more than 20 years of development, social insurance informatization has developed from a single pension business management system to a comprehensive social insurance system that integrates pensions, medical care, work-related injuries, unemployment, maternity and other types of insurance. Assurance work will be gradually digitized and intelligent. Based on the four pillars of social insurance business handling, public service provision, social insurance fund supervision and macro-prudential security decision-making, starting from data management at the central, provincial and municipal levels, running through the digitization of the labor market and social insurance, building nationwide coverage and unified planning The new type of "digital human society" and "smart human society" is an inevitable task for building a service-oriented government, realizing all the necessary guarantees, and stabilizing people's livelihood in the region.
The social insurance fund is the umbrella for the stable development of the society and the foundation for the happy life of the majority of the people. However, with the gradual acceleration of the aging of our country, how to ensure the rational and efficient use of the social insurance fund has become the key to the problem. The basic information of the social insurance system of governments at all levels contains great value. By analyzing and mining these data by effective means, the efficiency of the use of social insurance funds can be effectively improved. However, China's social insurance industry generally faces the following problems: 1. Data sources are scattered. Systems such as elderly care and medical care are decentralized, and there is no mechanism for connecting data; 2. The degree of data standardization is low. There is even a large amount of Excel or even manual data reporting; 3. Data applications are lacking, data applications are relatively few, and the value of a large amount of data is yet to be developed; 4. Fund supervision is weak. Business supervision, fund monitoring, lack of systematic and long-term mechanism, fraudulent insurance is common; 5. Data security requirements are implemented, the database lacks a disaster recovery mechanism, data use lacks control, and data privacy cannot be effectively guaranteed;
Core advantages description
DataFocus can be deployed as an independent big data platform or as an integrated application of the data analysis module of the social security big data solution. Use DataFocus big data warehouse to build a unified big data center, establish unified data standards, and provide unified data services to the outside world, or use DataFocus' unique search analysis technology to provide social security users with convenient data query and analysis services.
By extracting the standard database of each business system, or by filling in the report by business personnel, uploading Excel input, etc., DataFocus merges the data of the insurance collection and payment system, medical insurance, pension fund financial management and other insurance collection and payment systems. Peripheral system data such as personnel, supervision, bank land tax and financial accounting form a unified big data warehouse.
On the basis of the above big data warehouse, a comprehensive data analysis platform is integrated to form various KPIs or analysis models through search-based analysis, form various solidified reports, customize a large screen of data visualization for multiple business scenarios, and output various data reports on demand ; Or use DataFocus to conduct forward-looking forecast and analysis of various businesses, provide unified decision-making analysis support for social security departments at all levels, and improve data sharing and circulation capabilities.
Relying on DataFocus' data authority management and control system, providing data authorization both internally and externally under controllable conditions can not only effectively exert the value of social insurance data, but also reduce data privacy violations and ensure data security.
As a highly flexible professional software product focusing on data analysis and algorithm integration, DataFocus can be easily integrated with various software. Social insurance industry solution providers or social insurance departments can integrate various technical features of DataFocus from different perspectives, rationally use and solve problems in specific scenarios.
DataFocus starts with the data integration part, which can be deployed independently or in conjunction with other systems. Its own data warehouse module can be used to integrate databases scattered in various business systems, and can also obtain data from other data warehouses.
Quick access to social insurance data is as important as comprehensive management. Through DataFocus, various applications such as data analysis, statistical query, BI presentation and data mining can be quickly created. It can not only provide long-term curable report topics for the inherent business of social insurance, but also can quickly create a large data visualization screen according to the needs of specific scenarios; it can also establish analysis models and even AI models for specific scenarios, such as labor employment analysis, medical insurance funds use forecasts etc.
DataFocus' unique patented technology based on natural language parsing will make the user's data acquisition extremely simple, and non-technical personnel can also use it without any technical barriers (no need to write code), thus greatly reducing the cost of use. It enables third-party social insurance system solution providers to easily integrate various functions of DataFocus.
The Social Insurance Bureau of City A is facing the pressure of the explosive growth of social insurance data. The performance of its social insurance business system is aging, and the performance of the back-end Oracle database cannot keep up with the needs of business queries, which often makes it difficult to generate simple reports. Continuing with database optimization, or purchasing an expensive BI system will consume millions of dollars in your budget.
In order to get rid of the low data performance, abandon the heavy maintenance cost, and at the same time revitalize the data resources that have been stored with expensive resources for a long time. By introducing the DataFocus system, the Social Insurance Bureau regularly extracts the data stored in various database systems such as SQL Server, Oracle, DB2, Sybase and other social insurance business systems and establishes a big data warehouse. The interconnection of social insurance data has opened up the data islands of various business systems. On this basis, a number of applications such as a data reporting system and a large screen for social insurance big data analysis and visualization have been constructed. At the same time, they use the quick search function of DataFocus to provide internal and external data analysis services, realize business collaboration and refined management, and greatly improve the efficiency of data use. At the same time, they also use economic, demographic and statistical knowledge based on massive social security data, established a variety of prediction models, screened abnormal policies, early warning risk indicators, predicted pension insurance income and expenditure, and used it as a reference for social insurance fund policy decisions.
