7×24
RPA can automatically process an average of about 5,000 documents per day, with 7×24 on-call service.
RPA is able to replace the staff to take the stock liquidation information, make data statistics based on fields and formulas, summarize the data and send it to the relevant person in charge, and finally the person in charge will confirm the data.
RPA robot fuses data post data detection logic to determine whether the data files of each product are complete, realizing the continuity of data and valuation processing, and automating the valuation bookkeeping based on data.
RPA is able to be on call 24 hours a day, with 100% accuracy, and takes the initiative to undertake systematic securities account account opening declaration work, simplifying the declaration process, automatically parsing the transaction flow, grabbing the supplemental coupon documents, and improving the accuracy of data and valuation efficiency.
The RPA robot needs to process more than 5,000 documents every day, and the semantic understanding technology can save a lot of work for colleagues, and improve the overall processing efficiency by more than 60%.
RPA can automatically execute client-specific transactions; shorten a 1h task execution process to 15 minutes; replace 95% of manual work, and can successfully help brokerage firms to reduce costs and increase efficiency in multiple business processes in their operations.
With the adoption of RPA, operational efficiency has been significantly improved and costs have been significantly reduced. RPA covers common business scenarios in the securities industry, such as operation, clearing, valuation, account opening, finance, tax, market opening and closing, data processing, daily management, etc.
The necessary path to realize the strategy of "Digital Intelligence for Securities"
RPA can automatically process an average of about 5,000 documents per day, with 7×24 on-call service.
Policy data automatically processed by RPA with 99% accuracy and much higher business quality than manual input by humans
umulatively, more than 100 automated processes have been realized.
As a nationally renowned comprehensive financial enterprise, INDUSTRIAL SECURITIES has fully realized that digital transformation is a need for the long-term development of the Group, and that the digital transformation of the enterprise will lead to the reshaping of information flow and the resourceful utilization of data elements, enhance the efficiency of organizational communication, and is a necessary path to realize the strategy of "Digital Intelligence for Securities," and will bring new opportunities for the development of the enterprise. It will bring new opportunities to the development of enterprises...
In recent years, with the rapid development of information technology, the combination of cloud computing, artificial intelligence, big data and other emerging technologies with various fields of the economy and society has become increasingly close, and digital transformation has become a necessary path for modern enterprises to enhance their core competitiveness and achieve high-quality development...
PING AN Group has established a dual-drive strategy of "Finance + Technology". Under this vision, Ztenith implemented RPA automation process construction for PING AN Group Insurance, exploring, evaluating and analyzing automation opportunities, and designing target business processes. PING AN Group has a large number of repetitive, standardized, time-consuming and error-prone business processes. For example, the monthly closing check process for life insurance organizations in the finance department is a process whereby in the days from the end of each month to the beginning of the month, business personnel from hundreds of second- and third-tier branch offices need to download multiple monthly closing statements from the business system for data verification, and the entire process takes a great deal of time and is prone to errors in manual verification, and personnel changes are also frequent...
