Industry Background

The 14th Five-Year Plan for the Development of the Digital Economy explicitly proposes to accelerate the digital transformation and upgrading of enterprises, and to promote the all-round, full-chain digital development of traditional enterprises. Robotic Process Automation (RPA) has the dual value of digital technology ontology and digital carrier, and has been widely applied in many industries in recent years due to its high effectiveness in landing and fast return on investment. Among them, the RPA exploration practice of some securities enterprises has high industry reference value, and RPA has revolutionized the service and operation mode of securities enterprises and opened up a new way of thinking for the digital development of enterprises. In recent years, the securities industry's investment in information technology has grown steadily, and statistics show that the cumulative investment in the past five years has exceeded 100 billion yuan. Nearly three-quarters of domestic TOP50 securities firms are using or trying to use RPA technology. The securities industry has massive business processes, repeated cross-system operations are the norm, and existing human resources are difficult to support the growing demand for business development. RPA technology has the advantages of replacing repetitive labor, realizing automated execution of business nodes, and seamlessly connecting the software and hardware ecosystems, etc., such as account opening credit inquiries, cumulative fund custodian valuation, investment fund reconciliation, and many other securities business scenarios, and has been deeply For example, it has been deeply used in many securities business scenarios, such as account opening credit inquiry, cumulative custody valuation, investment fund reconciliation, etc., realizing the double enhancement of business processing efficiency and operation compliance rate, and effectively improving customer service experience.

Typical Scenarios for Digital Workforce in Securities

Enabling over-automation of internal brokerage departments

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.

Improve valuation processing efficiency

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.

Driving growth in service asset size

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.

Enhancement of Scenario Operation 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%.

Enhance the efficiency of client-specific transactions

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.

Reducing Operational Costs

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.

How has the digital workforce changed the Securities?

INDUSTRIAL SECURITIES Reduces Time Spent on Repetitive Tasks, Reduces Stakeholder Interaction Time by 23% with Ztenith RPA.

The necessary path to realize the strategy of

The necessary path to realize the strategy of "Digital Intelligence for Securities"

  • 7×24

    RPA can automatically process an average of about 5,000 documents per day, with 7×24 on-call service.

  • 90%

    Policy data automatically processed by RPA with 99% accuracy and much higher business quality than manual input by humans

  • 100

    umulatively, more than 100 automated processes have been realized.

Related Cases

They are all using Ztenith 's solutions.

【Finance】INDUSTRIAL SECURITIES

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...

【Finance】 Taikang Group

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...

【Finance】PING AN Group

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...

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