How Big Data Technology Can Help the Transformation of the Securities Industry

In the Internet+ era, it is urgent and timely for the securities industry to formulate a big data strategy. On the one hand, the development of the big data technology system has gradually matured. The big data technology system based on open source and commercial technologies has been applied in the Internet industry for many years, and the stable software version and cloud services launched can support latecomers to implement big data strategies. On the other hand, thanks to the exploration and promotion of big data by some Internet industry leaders, a talent training system with experience in big data projects have been gradually established, forming a good soil for the development of big data. At the same time, the pressure of competition in the securities industry is also increasing day by day, and the transformation of securities companies is urgent and has basically met the conditions for the application of big data technology.

The core of the digital and intelligent transformation of the securities industry: refined operations centered on data



Technological innovations, including the Internet, cloud computing, big data, and artificial intelligence, will introduce new industrial elements, competitive relationships, and business models to the traditional securities industry while expanding its boundaries of the securities industry. The future securities industry will gradually enter the Intelligent operation based on data development.

For securities companies to win the competition in the future, it is an inevitable choice to establish a three-dimensional cognition of users in an intelligent and digital way, and on this basis, conduct global access and refined operations based on data. Intelligent digital means can effectively help enterprises to establish and cultivate identifiable and operable user resource pools, establish deep connections, form loyal user groups, and achieve a complete reconstruction of mass-consumer relationships. When the transaction and financial needs of mass users are gradually become clear by using data tags, the fine-grained data flow can greatly optimize enterprise operations and business processes on the basis of intelligent analysis and achieve accurate satisfaction based on real users' financial needs. It is the core of the digital and intelligent transformation of the securities industry. Leading brokerage companies have begun to form their own data culture, including business reports, strategic effects and business performance all speak with data. Specifically, intelligent digital technologies will redefine the competitiveness of enterprises in the following areas:

1. Reconstruction of customer cognition and interaction: Reshaping consumer relationships, focusing on users, and deeply cultivating user needs and experience

From the early telephone entrustment to the fixed network PC to the mobile Internet APP, the brokerage is more about the expansion of transaction entrustment channels. Most brokerages do not really consider the APP experience and needs of consumers. With the decline of brokerage business revenue in recent years, the industry has gradually turned to be consumer-centric. However, it is extremely difficult to accurately recognize and grasp the financial management needs of consumers, which has become a consensus in the industry.

2. Technological intelligence and efficiency improvement: focus on users to break through the ceiling of operational efficiency, and use technology to broaden the industrial boundaries

The operational efficiency of financial securities means faster iteration of APP versions, broader and more comprehensive stock information, and a more targeted portfolio of wealth management products. However, these efficiency improvements are difficult to carry out under the traditional model, so the quality, depth, and timeliness of operations and work efficiency are contradictory.

The application and penetration of AI, big data, cloud computing, and other technologies in the securities industry will directly improve the inefficiency of marketing and operations. At present, most companies in the securities industry rely heavily on professional experience, from sales department marketing to product promotion and investment consulting, which consumes a lot of manpower and time. Digital and intelligent agile features based on distributed architecture can maximize marketing and operational efficiency. Taking marketing, investment consulting, double recording and customer service as examples, driven by various technologies, a large number of scenarios that currently require manual labor are gradually being iterated by machines.

3. Data operation and the business cycle: realize the data-based intelligent full-cycle operation

When the transaction and financial needs of mass users are gradually become clear by using data tags, the fine-grained data flow can greatly optimize enterprise operations and business processes on the basis of intelligent analysis and achieve accurate satisfaction based on real users' financial needs. It is the core of the digital and intelligent transformation of the securities industry.

Corresponding to the data, there are a series of middle and back-end transformations that enterprises need to carry out to realize the sharing of intelligent data analysis results and data integration for various business departments. This is an important foundation for the intelligent digital transformation of the securities industry.

4. Industrial alliance and ecological innovation: breakthrough industrial restrictions, unite third-party ecosystems, and achieve cross-industry co-prosperity

In addition to the enterprise's own digital innovation and transformation, in today's fast-changing industry and technology, industrial cooperation, and ecological docking have become mainstream trends, whether it is cross-disciplinary cooperation, cross-platform cooperation, or innovation in financial products, investment research information, securities The future of the industry must be ecological co-prosperity.

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