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this case are mostly highly

Posted: Mon Dec 23, 2024 10:23 am
by rifattryo.ut11
In actual development, I have also seen that some leading securities companies that have done well have presented a common feature, namely "business first drives the technology transformation system" + "reversely promotes business improvement processes" to achieve a spiral double cycle of business and technology goals. The key lies in the strategy based on the digitalization or wealth management of the enterprise, which even directly originates from a specific pain point in the development process of a certain business of the securities company, and then derives the corresponding business needs, and then the system is designed based on the needs of business and processes.



It is worth noting that the solutions designed inand data elements japan code phone number to solve problems and achieve design goals. Therefore, we believe that technology is the base, business is the compass, and data is the engine. The function realization, matching degree, process reshaping, experience optimization, internal empowerment, data application level and innovation carried by digital transformation have become the key indicators of judgment. . Innovation of key technologies Technological innovation is the key to digital transformation. Securities companies need to keep up with the trend of science and technology to introduce new technologies, new platforms, and new models to promote business innovation and upgrading.



New technologies such as the Internet of Things (such as online business), artificial intelligence (such as intelligent customer service, intelligent investment advisors, intelligent risk control), big data analysis (vertical algorithm models), cloud computing and other basic technical capabilities provide unprecedented depth of data collection, processing, analysis and application, and may also promote the transformation of business processes and management models. . Cultivation of data-driven awareness Digital transformation emphasizes the important role of data in decision-making and optimization. Securities companies need to establish an effective data collection, processing and analysis system to support data-driven product innovation and customer service.