Tagged articles

E-commerce Analytics

8 articles · Page 1 of 1

Sep 8, 2026 · Artificial Intelligence

Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets

The article defines three criteria — high consultation frequency, fixed judgment paths, and inconsistent conclusions across people — for deciding which business experiences should be codified as AI Agents, illustrates them with the E-SAGE platform's data-metric and live-streaming cold-start diagnosis Agents, and argues the real barrier is business understanding, not programming skill.

AI AgentsAgent GovernanceBusiness Experience

0 likes · 15 min read

Which Business Experiences Deserve to Become AI Agents? Three Criteria for Turning Personal Tools into Organizational Assets

DataFunTalk

Oct 26, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Drive Growth

This article explores Kuaishou E‑Commerce’s journey in constructing a comprehensive data metric system, detailing its business context, the necessity of metrics, challenges across data production, querying and usage, practical implementation steps, management practices, and a concluding Q&A.

Data MetricsE-commerce AnalyticsKuaishou

0 likes · 6 min read

How Kuaishou E‑Commerce Built a Data Metric System to Drive Growth

Programmer1970

Jan 19, 2025 · Databases

MySQL Interview Scenario: Analyzing E‑Commerce User Repurchase Behavior

This article presents a MySQL interview case that examines e‑commerce repurchase behavior using orders and users tables, defines repeat purchasers, computes average repurchase intervals and amounts, identifies high‑value customers, and aggregates results by city through CTEs, window functions, and grouped statistics.

CTECity-Level MetricsE-commerce Analytics

0 likes · 8 min read

MySQL Interview Scenario: Analyzing E‑Commerce User Repurchase Behavior

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.

Diagnostic AnalysisE-commerce Analyticscontribution decomposition

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.

AIAlibabaCausal Inference

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

JD Retail Technology

Oct 15, 2021 · Big Data

How JD’s Activity Cockpit Supercharges Mega‑Sale Performance with Optimize Table, BitMap, and Materialized Views

The article explains how JD’s Activity Cockpit tackles mega‑sale challenges by monitoring the consumer golden‑link, applying Optimize Table, BitMap, and materialized view techniques to reduce data volume, accelerate queries, and enable precise real‑time marketing for brands.

E-commerce AnalyticsMaterialized ViewPerformance Optimization

0 likes · 6 min read

How JD’s Activity Cockpit Supercharges Mega‑Sale Performance with Optimize Table, BitMap, and Materialized Views

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.

Data QualityE-commerce AnalyticsProcess Automation

0 likes · 18 min read

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