QwenPaw-数据：为自主企业数据分析搭建事实、方法与执行的桥梁
QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics
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中文总结 AI 辅助
研究针对企业数据分析在开放环境的特性，提出QwenPaw-Data系统，通过整合异构资产、转化自然语言请求为工作流，架构含三个协作子系统，实验证明该系统提升了数据访问和分析质量，为企业数据智能体提供基础。
中文摘要 AI 辅助
企业数据分析正成为自主智能体的一个独特前沿领域。与通用交互和软件工程相比，它在开放、模糊且不断演变的环境中运行。这些特性需要一种将语义、方法、执行和演变作为首要系统关注点的数据智能体架构。为此，我们引入了QwenPaw-Data，一个为企业智能数据分析设计的智能体数据系统。它整合来自仓库、仪表盘、文档、交互日志和历史任务的异构资产，将自然语言请求转化为端到端分析工作流。其架构分解为三个协作子系统：DataBridge通过互连的元数据、知识和跟踪图提供可靠语义基础；Skill-Hub将专家分析方法编纂为可复用和可验证技能；Host将这些证据和方法资产转化为可控的、以工件为中心的运行时执行。实验表明它提高了可验证数据访问能力和高级分析质量，为企业数据智能体提供了实用基础。
英文摘要
Enterprise data analysis is emerging as a distinct frontier for autonomous agents. Compared with general-purpose interaction and software engineering, it operates in an open, ambiguous, and continuously evolving environment. These characteristics call for a data-agent architecture that treats semantics, methodology, execution, and evolution as first-class system concerns. To this end, we introduce QwenPaw-Data, an agentic data system designed for enterprise intelligent data analysis. QwenPaw-Data consolidates heterogeneous assets from warehouses, dashboards, documents, interaction logs, and historical tasks into reusable, governable, and evolvable analysis assets, then turns natural-language requests into end-to-end analytical workflows spanning data understanding, retrieval, analysis, report generation, and decision support. Its architecture decomposes the problem into three collaborative subsystems: DataBridge provides trustworthy semantic grounding through interconnected metadata, knowledge, and trace graphs; Skill-Hub codifies expert analytical methodology into reusable and verifiable skills; and Host materializes these evidence and method assets into controllable, artifact-centric runtime execution. Across these subsystems, semantics, methods, traces, and feedback are continuously deposited back into the system, forming a self-evolving asset flywheel. Experiments on public benchmarks and real-world industrial BI workloads show that QwenPaw-Data improves both verifiable data access capability and higher-level analytical quality, offering a practical foundation for reliable, traceable, and continuously improving enterprise data agents.
发表机构
- Alibaba Group（阿里巴巴集团）
机构由 AI 辅助整理，请以论文原文为准。
