CAWAL整合网页与应用日志，实现企业级精准分析与隐私合规。
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments
- 将客户端与服务端数据融合，支持跨域跟踪与应用日志集成。
- 响应时间比OWA低24%，比Matomo低85%。
- 适合注重数据主权、需要诊断能力的企业级应用。
在网页分析领域，云解决方案存在数据所有权与隐私问题，而客户端追踪工具则面临数据准确性不足及缺乏服务端指标的挑战。本文提出一种新型统一分析框架CAWAL，作为本地部署替代方案，集成网页分析与应用日志功能。该框架可在网页农场中实现精确数据采集与跨域追踪，同时满足数据主权与隐私合规要求。通过将应用级数据融入分析流程，显著提升软件诊断与故障排查能力。在企业级网页应用中的集成验证表明，其响应时间分别比Open Web Analytics（OWA）和Matomo降低约24%和85%。实证结果证明，该框架有效克服了现有工具的局限性，构建了更稳健的分析基础设施。
原文摘要 · Abstract (English)
In web analytics, cloud-based solutions have limitations in data ownership and privacy, whereas client-side user tracking tools face challenges such as data accuracy and a lack of server-side metrics. This paper presents the Combined Analytics and Web Application Log (CAWAL) framework as an alternative model and an on-premises framework, offering web analytics with application logging integration. CAWAL enables precise data collection and cross-domain tracking in web farms while complying with data ownership and privacy regulations. The framework also improves software diagnostics and troubleshooting by incorporating application-specific data into analytical processes. Integrated into an enterprise-grade web application, CAWAL has demonstrated superior performance, achieving approximately 24% and 85% lower response times compared to Open Web Analytics (OWA) and Matomo, respectively. The empirical evaluation demonstrates that the framework eliminates certain limitations in existing tools and provides a robust data infrastructure for enhanced web analytics.
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