BestHub
Sign in
Tagged articles

metric modeling

3 articles · Page 1 of 1
Data Integration and Governance
Data Integration and Governance
Jun 16, 2026 · Fundamentals

Why Most Companies Fail to Derive Value from Data Analysis: Confusing Data Models with Metric Models

Many enterprises struggle to extract business insights because their underlying data is chaotic, definitions are inconsistent, and metric definitions clash, so even powerful analysis tools cannot deliver value until they clearly separate data models from metric models and follow systematic building steps.

Business IntelligenceData GovernanceData Modeling
0 likes · 18 min read
Why Most Companies Fail to Derive Value from Data Analysis: Confusing Data Models with Metric Models
DataFunTalk
DataFunTalk
Dec 3, 2023 · Big Data

NetEase Data: Practices and Architecture of a Metrics Middle Platform

This article presents NetEase Data's end‑to‑end experience in building a metrics middle platform, covering product evolution, the motivations for a unified metrics layer, core technologies such as a logical semantic model, a custom metric query language, engine‑agnostic execution, and future roadmap plans.

Data AnalyticsDataOpsMetrics Platform
0 likes · 12 min read
NetEase Data: Practices and Architecture of a Metrics Middle Platform
DataFunSummit
DataFunSummit
Oct 11, 2023 · Big Data

Tencent Oula Data Asset Suite: End‑to‑End Data Production and Governance Framework

The article presents Tencent Oula’s comprehensive data‑asset platform that integrates data collection, integration, warehouse and metric modeling, governance engines, and AI‑enabled analytics to reduce information entropy, standardize assets, and enable production‑as‑governance across the modern data stack.

AI for BIData GovernanceData Ops
0 likes · 21 min read
Tencent Oula Data Asset Suite: End‑to‑End Data Production and Governance Framework