About RUIHE DATA Company

Ruihe Digital Intelligence Technology Holdings Co., Ltd. (abbreviation: Suoxinda, stock code: 03680.HK) was founded in Shenzhen in 2004. It is a leading enterprise in data intelligence and marketing technology in China. It targets the entire industry and provides big data decision-making, artificial intelligence, digital marketing, and solutions and consulting services for enterprises, government and other agencies; the company was listed on the main board of the Hong Kong Stock Exchange in 2019 and is known as the first Big Data AI stock of the Hong Kong Stock Exchange. The company has long cooperated with customers covering 80% of leading banks, and maintains a wide range of market influence in the financial field. At the same time, it also provides customers in the entire industry with services and capabilities related to big data, artificial intelligence, and localization of Xinchuang, to help enterprises in digital transformation and high-quality development. Main consulting services and solutions: financial institution digital transformation strategy planning, digital operation system implementation, intelligent marketing, full-scenario marketing, customer lifecycle management, customer operation/private domain operation, customer experience management, customer asset enhancement, customer circle/customer base management, customer microsegmentation, data governance, intelligent risk control Main products: Financial industry intelligent marketing platform, customer tag management system, user profile system, personalized recommendation system, marketing content management system, marketing automation platform, big data platform, data asset management platform, data warehouse/bazaar, domestic database, model management platform, regulatory reporting system, model factory Main technical services: application development, data development, mining and analysis, intelligent recommendation algorithms, natural language processing, knowledge maps, artificial intelligence technologies such as explainable machine learning, reinforcement learning, deep learning, federated learning, etc.