从“数据可见”到“业务可动” Data Agent助力企业激活全链路数据智能

Core Insights - Data has become a core asset for enterprises in the wave of digital transformation, yet only about 20% of data assets are effectively utilized [1] - The introduction of the Data Agent analysis product system by the company aims to activate full-link data intelligence for enterprises [1][4] Group 1: Challenges in Data Utilization - Enterprises face common challenges in effectively converting data into business value, including insufficient professionalism, questionable result reliability, and data security compliance risks [3] - The majority of Data Agent products in the market encounter three core challenges: limited understanding of vertical industry business logic, risk of "hallucinations" in results, and concerns over data security compliance, especially among sensitive industry clients [3] Group 2: Data Agent Product Features - The Data Agent analysis product system is a next-generation enterprise data intelligence analysis service platform that integrates internal and external data for comprehensive analysis [4] - The product includes four modules: - Enterprise Operating Indicators Agent for natural language query parsing and rapid data retrieval [4] - Private Knowledge Agent for precise retrieval from enterprise knowledge bases [5] - Deep Attribution Agent for automated analysis of data anomalies [5] - Intelligent Report Generation Agent for creating standardized analysis reports [6] Group 3: Application and Impact - The Data Agent analysis product system has begun to be applied in sales and supply chain scenarios for leading clients, significantly enhancing operational efficiency [6] - An example from a major beverage brand shows that the Data Agent system reduced response time from minutes to seconds and covered nearly 90% of ad-hoc query needs [9] Group 4: Future Outlook - The company aims to evolve Data Agent from an "auxiliary tool" to a "business partner," facilitating data-driven intelligent upgrades for more enterprises [11] - The integration of industry-specific models and intelligent agent technology positions the Data Agent as a key entry point for leveraging large model capabilities in practical business applications [6][11]