Facing inconsistent metrics and low reuse in siloed data services, the team built a unified metric service using a headless BI semantic layer and virtual data models, enabling consistent metric definitions, reusable data models, AI-friendly queries, and faster, scalable reporting across the organization.
This article presents Kuaishou's metric middle platform, detailing its background, design principles, metric management and service architecture, including headless BI concepts, unified analysis language OAX, query engine OCTO, data modeling layers, acceleration strategies, and future directions toward intelligence and high performance.
The article introduces Tencent's OLA data‑governance platform and its t‑Metric metric middle‑platform, explains the Headless BI concept, details the configuration‑driven metric production workflow, core capabilities, architecture, unified query service, ecosystem integration, and answers audience questions about real‑time analysis, dimension handling, and trust mechanisms.
This article presents Kuaishou's metric middle platform, detailing its three‑year evolution, unified semantic layer design, metric standardization workflow, core technologies such as Headless BI, automated modeling, and a unified metric service, and outlines future directions and a Q&A session.
This article details Kuashou's metric middle platform, covering its role as a semantic layer, the unified architecture of OneMetric and OneService, metric standardization processes, automated modeling techniques, the Headless BI concept, and future directions for intelligent modeling and acceleration.
