e-commerce analytics

DataFunTalk

Nov 8, 2023 · Fundamentals

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

This article presents NetEase Yanxuan's end‑to‑end approach for automatically detecting and diagnosing metric anomalies in e‑commerce, covering background motivations, statistical detection methods (absolute, volatility, trend), contribution‑decomposition diagnosis, optimization techniques for dimensional explosion, and a Q&A on practical implementation.

contribution decompositiondiagnostic analysise-commerce analytics

0 likes · 17 min read

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

DataFunSummit

Jun 20, 2023 · Artificial Intelligence

Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies

This article presents a comprehensive overview of applying causal inference to Alibaba’s Business Intelligence platform, detailing fundamental concepts, the merchant intelligent diagnosis system architecture, key technologies such as hybrid causal network discovery (HCM) and deep attribution, and showcases the resulting operational impact.

AIAlibabaKnowledge Graph

0 likes · 14 min read

Causal Inference–Based Intelligent Diagnosis for E‑Commerce Merchants: Practice and Key Technologies

ByteDance Data Platform

Nov 16, 2022 · Big Data

How ByteDance’s Data Lake Powers Near‑Real‑Time E‑Commerce Analytics

This article explains ByteDance’s data lake technology, its Apache Hudi‑based features, near‑real‑time architecture, and practical e‑commerce use cases such as marketing promotion, traffic diagnosis, logistics monitoring, risk governance, and operational monitoring, while outlining future challenges and plans.

Apache Hudibig data architecturedata lake

0 likes · 15 min read

How ByteDance’s Data Lake Powers Near‑Real‑Time E‑Commerce Analytics

DataFunTalk

Jan 9, 2021 · Big Data

Building a Traffic and Event‑Tracking System at NetEase Yanxuan: Tagging, Management, Attribution, and Quality Assurance

This article details how NetEase Yanxuan designed and implemented a comprehensive traffic system—including event‑tagging methods, a top‑down management framework, data‑quality controls, testing strategies, and attribution models—to turn fragmented user behavior into actionable e‑commerce insights.

Attributionbig datadata quality

0 likes · 18 min read

Building a Traffic and Event‑Tracking System at NetEase Yanxuan: Tagging, Management, Attribution, and Quality Assurance