数据运营
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慧辰股份:公司过去十余年在数据要素赛道深耕
Zheng Quan Ri Bao Zhi Sheng· 2026-01-05 14:20
Core Viewpoint - The company has been deeply engaged in the data element sector for over a decade, providing data analysis, mining, and operation services to top brands, including Fortune 500 companies in various industries [1] Group 1: Business Operations - The company serves leading clients in sectors such as TMT (Technology, Media, and Telecommunications), fast-moving consumer goods, automotive, healthcare, tobacco, and public services [1] - The company has a significant number of commercial scenarios and has built a strong reputation in the data-related business [1] Group 2: Market Opportunities - The company has capitalized on the opportunities arising from domestic enterprises going global and the increasing demand from overseas clients for data solutions [1] - The business scope is not limited to EU countries, indicating a broader international market strategy [1] Group 3: Future Directions - The company plans to continue enhancing its data and AI capabilities to empower more domestic and international clients [1] - The focus is on creating value for partners in the AI era, with ongoing business advancements [1]
五部门:研究增设数据采集清洗、数据标注、数据合规、数据运营等专业
Bei Jing Shang Bao· 2025-12-02 08:11
Core Viewpoint - The Chinese government has issued opinions to strengthen the construction of data-related academic disciplines and the digital talent workforce, emphasizing the need for optimized academic program settings and collaboration between educational and data management departments [1] Group 1: Academic Program Development - The opinions call for the establishment of data science and engineering, as well as digital economy and management programs at degree-granting institutions [1] - There is a focus on creating a talent cultivation mechanism that connects undergraduate, master's, and doctoral programs in data-related fields [1] - Vocational schools are encouraged to adjust data-related programs dynamically based on industry development needs, including the addition of courses in data collection, cleaning, labeling, compliance, and operations [1]