At present, with the transformation of digitalization, the "digital employee" market is accelerating, and all walks of life are beginning to explore the application scenarios of digital employees. The Government Statistics Office is no exception. Through the introduction of "statistical staff", explore the use of artificial intelligence technology in statistical work, realize the automation of statistical business processes in statistical reporting, data review, data calculation, statistical analysis, etc., and assist statisticians to complete regular and repetitive business processes. Realize the transformation from "pure manual operation" to "man-machine collaboration". While liberating human resources, it improves the quality and efficiency of statistical services and opens up the last "mile" of smart statistics.
What pain points can "statistics staff" solve in statistical work?
1. Huge amount of data, complex business process and high repeatability
Business scenarios such as reminders, audits, statistical calculations, and report analysis require huge amounts of enterprise-related data, complex processes, and many audit rules. The staff cannot be freed from massive and repetitive tasks, and work hard to deal with complex affairs.
2. Data reporting during the reporting period is time-sensitive and time-critical
During the reporting period, a large number of companies need to be reminded, data reviewed, and calculated according to business requirements before the deadline, and an analysis report must be output based on the overall data statistical analysis. Among them, data review and statistical calculation occupy more than 80% of the working time of the entire business volume, which prevents statisticians from focusing on the more important data analysis business.
3. Data quality is the core of statistical work, and it is difficult to improve the quality
Data quality is the lifeline of statistical work, how to improve data quality is the top priority of statistical work. During the data reporting process, each department needs to review the data submitted by each enterprise in order to improve the data quality. Enterprises do not understand the reporting requirements, which leads to abnormal data or some enterprises fill in false data at will
Application Scenarios of "Statistical Employees" in Statistics
1. Statistical reminder
Automatically log in to the statistics online direct reporting platform, enter the entry progress monitoring page, and download the report that needs to be reminded; according to the downloaded report, match the number from the phone list, and generate the corresponding intermediate file of SMS content according to the content of the reminder; automatically log in to the SMS The platform automatically sends SMS reminders according to the intermediate files of the SMS content.
2. Statistical review
During the reporting period, statisticians need to manually review the abnormal data reported by the enterprise. Data review takes up a lot of time every day, and it is necessary to query the data repeatedly every day and manually verify the abnormal data. "Digital employees" use artificial intelligence technology to understand and analyze the content of the enterprise's report. Automatically review words such as true, correct, verified and correct, and no problems in the review. Automatically query enterprises whose growth rate exceeds a fixed target. For example, the year-on-year growth rate of energy consumption in the current month exceeds 30%, the cumulative growth rate exceeds 20%, and the month-on-month growth rate exceeds 20%. Automatic SMS notifications for businesses.
3. Data calculation
RPA can automatically export relevant data according to the background "set of tables" system, summarize and calculate according to the corresponding formula, and automatically fill in the data according to the brochure template.
4. Automatically generate reports
Based on the statistical special report template, RPA can automatically collect the direct report platform data, perform data calculation, generate relevant charts, automatically fill in the data according to the transfer report template, and generate the first version of the industry analysis report.
5. Report and review
According to the keyword audit template, RPA can filter out the list of failed audits and automatically fail the acceptance on the platform. The automatic identification technology through OCR technology can also be used to identify whether the attachments that trigger the red orange list are covered with the official seal of the Statistics Bureau, and for companies that do not have the official seal, they will automatically fail the review.
6. Preparation of economic census booklet
When the statistics department carries out the economic census work, it is often time-consuming and labor-intensive to compile due to the chaotic information in the departmental and unit records and the tight schedule. Through RPA, the basic unit directory data can be combined with the industrial and commercial, city supervision, civil affairs and compilation offices. Combine the processed departmental data provided by administrative units, automatically process table data, deduplicate, and effectively check to ensure that the unit’s inventory is not duplicated or missed, and the census work is comprehensive, accurate, and efficient.
Customer Success Stories
1. Real Intelligence × Zhejiang Bureau of Statistics
Statistics Employees empower the digitization of statistics, assisting in the monitoring of the new economy and reducing the burden on the grassroots.
Ensure the authenticity and accuracy of source data: Through intelligent applications, the full amount of enterprise data statistics can be realized, so as to avoid missing and wrong reviews during the data review process of statisticians. At the same time, more timely and efficient statistical business processing efficiency, 7*24 hours of uninterrupted, zero-error work, optimized labor costs, and greatly improved business processing efficiency.
2. Real Intelligence × Yuhang Bureau of Statistics
Under the wave of digital reform, the digital employee "Yu Tong Xiaozhi" who came into being at the historic moment ran out of the "acceleration" of statistics. In July 2021, Yuhang District Statistics Bureau started the country's first "digital employee" in the field of RPA statistics to improve statistical work. Quality and efficiency, and liberate statistical staff from mechanical, repetitive, and complicated work, and turn to economic and social operation research, analysis, and service.
"Statistics" digital employees build intelligent auxiliary tools for information systems and application software at the front end of the operating system by imitating manual operations. On the basis of not performing secondary development on system functions, they use AI and RPA technology to design zero-code , Multi-modal application, deeply integrates the statistical networking direct reporting platform and RPA robot, realizes the automation and intelligent management of the whole process from "reporting, auditing, calculation, and analysis", ensuring that the workload of manual participation is reduced to the greatest extent, and the Improve operating efficiency and minimize error probability.
3. Real Intelligence × other statistical bureaus
Due to the high degree of uniformity of the statistical system and institutional rules, the first "statistical" digital employee was implemented and applied, and was successively used in Hangzhou Linping Statistics Bureau, Yuhang Investigation Team, Linping Investigation Team, Ningbo Statistics Bureau, Haishu District in Zhejiang Province Statistics Bureau, Zhenhai District Statistics Bureau, etc. As of 2022, 11 cities, districts, and 95 district and county statistics bureaus in the province have deployed "statistical" digital staff to innovate statistical work models, reorganize statistical work processes, and achieve human-machine collaboration and grass-roots burden reduction.
In addition to being widely disseminated and applied in practice in the province, the "statistics" digital employees have also attracted the attention of the National Bureau and other provincial and municipal bureaus. The leaders of the statistical bureaus of Anhui, Guangxi, Jiangsu, Shanghai, Guangdong, Yunnan and other provinces (cities, districts) have led teams to Zhejiang for investigation, exchange and study.
4. Others
Real Intelligence has created a large number of typical digital scenarios. Currently, Real RPA·Digital Employees have served 1500+ top customers in various industries, covering e-commerce retail consumption, government and public services, communication operators, financial services, energy and manufacturing , Biomedical industry.
Major customers include: China Mobile, China Telecom, China Unicom, China Tobacco, China Post, State Grid, China Everbright Bank, Hua Xia Bank, China Merchants Bank, China Life Insurance, Ping An of China, China Shipbuilding Industry Corporation, Xugong Group, North Huachuang, Jingwei Textile Machine, Angang Lianzhong, Geely Automobile, Johnson Controls, Haier, Midea, Baicaowei, Proya, Jasper, Nice, Joyoung and many other corporate customers, as well as Zhejiang Provincial Bureau of Statistics, Jiangsu Provincial Taxation Bureau and other local government statistics, taxation , Judiciary and other departments have become the standard equipment for the digital upgrade of the entire industry and functions.