在AI时代，企业数据分析团队的建设与精进成为了推动业务增长的关键。8月1日，极客时间企业版在《数字人才新视点》栏目中，邀请到了广发银行信用卡中心商业智能负责人徐小磊、招商证券数字化办公室数据分析专家江洪深和极客时间企业版解决方案专家高岩，共同探讨了数据分析团队的职能定位、发展建设，以及面临的挑战和解决策略。
徐小磊介绍，广发银行信用卡中心的数据分析团队分为决策支撑团队和业务分析团队两类，通过双层架构确保数据团队能够深入业务、赋能业务。江洪深则分享了其所在团队作为独立数据部门的经验，表示团队从解决具体业务问题出发，逐渐转向从全局视角准备数据，主动发掘需求。
高岩指出，数据分析团队在推动业务增长时，需要克服业务人员对整体业务理解不足、数据分析工具系统成本高、数据驱动场景挖掘难以及AI大模型应用等挑战。通过参考业内成功案例和经验，企业数据分析团队能够更好地为企业决策提供智能化支持，优化业务流程，实现业务增长。
英语如下：
News Title: “AI Era Data Elite: How Enterprises Build Decision Engines”
Keywords: Data Analysis, AI Era, Enterprise Enhancement
News Content: In the AI era, the construction and enhancement of data analysis teams within enterprises have become crucial for driving business growth. On August 1, the “Digital Talent New Perspective” program invited Jiang Hongsheng, the Data Analysis Expert from the Digital Office of CITIC Securities, Xu Xiaolei, the Business Intelligence Manager from the Credit Card Center of Guangfa Bank, and Gao Yan, the Solution Expert for GeekTime Enterprise Edition, to discuss the role definition, development, challenges, and solutions for data analysis teams.
Xu Xiaolei introduced that the data analysis team at the Guangfa Bank Credit Card Center is divided into two categories: decision support teams and business analysis teams, ensuring that the data team can deeply engage with and empower the business through a dual-layer architecture. Jiang Hongsheng shared his team’s experience as an independent data department, stating that the team started by addressing specific business problems and gradually shifted to preparing data from a holistic perspective and proactively identifying needs.
Gao Yan pointed out that data analysis teams face challenges such as insufficient understanding of the overall business by business personnel, high costs of data analysis tools and systems, difficulty in mining data-driven scenarios, and the application of AI large models when driving business growth. By drawing on successful cases and experiences within the industry, enterprise data analysis teams can better provide intelligent support for decision-making, optimize business processes, and achieve business growth.
【来源】https://mp.weixin.qq.com/s/_p2NwXYYWXOFNpKQ3MxQ-Q
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