data product | BestHub

DataFunSummit

Feb 28, 2024 · Big Data

Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce

This article examines a real‑world case where a fresh‑food e‑commerce platform attempts to fuse business metrics and data tags to streamline monthly product selection, analyzes the shortcomings of the initial solution, and proposes two improved approaches—custom tag rules and algorithmic modeling—to enhance decision‑making efficiency.

big-datadata productdata-platform

0 likes · 10 min read

Integrating Business Metrics and Tags for Efficient Product Selection in Fresh Food E‑commerce

DataFunTalk

Feb 1, 2024 · Fundamentals

Understanding Search Experiments: AB Testing, Experiment Types, and Common Issues

This article explains search experiments from a data‑product viewpoint, covering AB testing fundamentals, multi‑layer experiment architecture, four experiment types (ordinary AB, vocabulary, diff‑AB, interleaving), real‑world case studies, and a comprehensive FAQ addressing typical challenges and troubleshooting methods.

A/B testingalgorithm evaluationdata product

0 likes · 10 min read

Understanding Search Experiments: AB Testing, Experiment Types, and Common Issues

DataFunTalk

Jan 30, 2024 · Product Management

Practical Application of a Metric System Management Dashboard in Kuaishou E‑commerce Data Operations

This presentation details the design, construction, and iteration of a management dashboard ("cockpit") for Kuaishou's e‑commerce data product team, covering data‑driven business logic, indicator design, product and interaction design, stability assurance, and common challenges with solutions, all aimed at improving business insight and decision‑making.

business analyticsdata productmanagement dashboard

0 likes · 15 min read

Practical Application of a Metric System Management Dashboard in Kuaishou E‑commerce Data Operations

DataFunSummit

Nov 28, 2023 · Product Management

Practical Application of a Metric‑Based Management Cockpit in Kuaishou E‑commerce Data Operations

This article shares the design, construction, and iteration practices of a management cockpit for metric systems within Kuaishou's e‑commerce data product team, covering data‑driven business logic, product architecture, indicator design, visualization, stability assurance, and common challenges to guide effective business decision‑making.

business analyticsdata productmanagement cockpit

0 likes · 15 min read

Practical Application of a Metric‑Based Management Cockpit in Kuaishou E‑commerce Data Operations

DataFunTalk

Sep 30, 2023 · Fundamentals

Different Types of Experiments in Search Scenarios

The presentation by Tencent PCG data product manager Wang Dongxing introduces A/B testing fundamentals and shares practical experiences with various search experiment methods—including regular A/B, vocabulary, diffAB, and interleaving—while highlighting common pitfalls and offering actionable insights for practitioners.

A/B testingdata productexperiment design

0 likes · 2 min read

Different Types of Experiments in Search Scenarios

Architects Research Society

Sep 26, 2023 · Big Data

From a Single Data Lake to a Decentralized Data Mesh: A Step‑by‑Step Migration Guide

This article explains why traditional centralized data lakes hinder modern software development, introduces the data‑mesh concept as a decentralized alternative, and walks through an e‑commerce microservice example with concrete steps, data‑API designs, and migration tactics to transition from a monolithic lake to a distributed data mesh.

Data MeshETLdata lake

0 likes · 22 min read

From a Single Data Lake to a Decentralized Data Mesh: A Step‑by‑Step Migration Guide

DataFunTalk

Sep 25, 2023 · Big Data

Tag System Construction Practice at 58: Pain Points, Solutions, Architecture, and Management Platform

This article details the practical implementation of a tag system at 58, covering business stages that require tagging, common challenges and solutions, a three‑layer architecture, lifecycle management, evaluation metrics, and a unified tag management platform to support scalable, scenario‑driven data products.

Label ArchitectureTag Managementbig-data

0 likes · 17 min read

Tag System Construction Practice at 58: Pain Points, Solutions, Architecture, and Management Platform

37 Interactive Technology Team

Sep 18, 2023 · Product Management

How to Build, Productize, and Iterate an Analytical Data Product

The guide explains how to create an analytical data product by first defining the business scenario and KPI, selecting and abstracting an analysis framework into reusable modules, visualizing core metrics across dimensions, and continuously iterating through cold‑start, promotion, and maintenance phases to keep the product aligned with evolving business needs.

AnalyticsBusiness IntelligenceKPI

0 likes · 18 min read

How to Build, Productize, and Iterate an Analytical Data Product

DataFunTalk

Apr 20, 2023 · Product Management

How Organizational Analysis Determines the Success of Data Products

This article explains why analyzing an organization’s structure, collaboration patterns, and risks is crucial for data product success, outlines an ideal data‑centric organization model, shares real‑world examples and practical steps, and provides a Q&A on common challenges faced by product teams.

data productorganization analysisproduct management

0 likes · 23 min read

How Organizational Analysis Determines the Success of Data Products

DataFunSummit

Mar 2, 2023 · Big Data

Huya's Data Self‑Service Product: Challenges, Design, and Practice

The article presents Huya's data‑self‑service product, describing the problems of traditional data services, the principles of a good data service, the MVP implementation, architectural components, project outcomes, and future evolution, while also addressing common Q&A scenarios.

AutomationData Engineeringbig-data

0 likes · 12 min read

Huya's Data Self‑Service Product: Challenges, Design, and Practice

DataFunSummit

Feb 20, 2023 · Product Management

Evaluating the Value of Data Products: Scenarios, Frameworks, and Improvement Methods

This article explains why data product value assessment is essential, outlines common usage scenarios and a DBA evaluation framework, describes quantitative methods such as usage, business, and data‑driven metrics, and offers practical ways to enhance data product value through metric optimization, high‑value direction selection, and resource allocation.

big-datadata productmetrics

0 likes · 13 min read

Evaluating the Value of Data Products: Scenarios, Frameworks, and Improvement Methods

DataFunSummit

Feb 18, 2023 · Product Management

Business Diagnostic Data Products: Thinking Model, Architecture, and Growth Challenges

This article presents a comprehensive overview of business diagnostic data products, detailing their value chain, architectural layers, thinking model, product growth stages, and the practical challenges faced when scaling from inception to mature deployment in retail environments.

AnalyticsData Governancebusiness diagnostics

0 likes · 14 min read

Business Diagnostic Data Products: Thinking Model, Architecture, and Growth Challenges

DataFunSummit

Jan 16, 2023 · Big Data

Building an O2O Industry Data Platform: From Monitoring to Diagnosis

This article shares practical insights on constructing an O2O industry data platform, detailing user classification, business pain points, and a three‑step strategy—monitoring, analysis, and diagnosis—to extract core metrics, implement tailored reporting, conduct operational and pricing analyses, and drive data‑driven product improvements.

Business IntelligenceDiagnosisO2O

0 likes · 15 min read

Building an O2O Industry Data Platform: From Monitoring to Diagnosis

Architects Research Society

Jun 30, 2022 · Big Data

Beyond Monolithic Data Lakes: Embracing a Distributed Data Mesh Architecture

The article examines why traditional centralized data lake architectures fail at scale, outlines common failure patterns, and proposes a paradigm shift toward a distributed data mesh that treats domain‑oriented data as a product, leverages self‑service platforms, and aligns engineering, product, and governance practices for modern enterprise data platforms.

Data MeshDomain-Driven Designbig-data

0 likes · 33 min read

Beyond Monolithic Data Lakes: Embracing a Distributed Data Mesh Architecture

Kuaishou Tech

Mar 10, 2022 · Big Data

Data‑Driven Management: From Data Analysis to Data Products – Challenges, Solutions, and a Used‑Car Platform Case Study

This article explores how enterprises can overcome common data‑analysis frustrations, explains why quantitative data is essential for effective management, outlines methods to boost data‑driven management efficiency through analysis and productization, and presents a detailed second‑hand car platform case study illustrating these concepts in practice.

Business IntelligenceCase StudyData Analysis

0 likes · 10 min read

Data‑Driven Management: From Data Analysis to Data Products – Challenges, Solutions, and a Used‑Car Platform Case Study

JD Retail Technology

Jun 29, 2021 · Big Data

The Value of Data and Data Products: From Concept to Practice

This article explains how data has become a critical production resource, outlines the limitations of traditional data‑analysis workflows, defines data products and their components, describes their advantages and key characteristics, and shares practical case studies of data‑product implementations in a large e‑commerce environment.

Data Analysisbig-datadata product

0 likes · 16 min read

The Value of Data and Data Products: From Concept to Practice

DataFunTalk

Jun 25, 2021 · Big Data

Building Data Products and a Data Middle Platform at NetEase Yanxuan: Practices and Lessons

The article details NetEase Yanxuan's end‑to‑end data product ecosystem and data middle platform, describing four core data products, the architecture of the data middle platform, efficient high‑quality delivery, governance practices, and key performance metrics that support data‑driven decision making.

BIData GovernanceData Warehouse

0 likes · 14 min read

Building Data Products and a Data Middle Platform at NetEase Yanxuan: Practices and Lessons

DataFunTalk

Mar 30, 2021 · Product Management

Designing Data Risk Alert Products: From Business Risk Management to Solution Implementation

This article explains how to analyze and design data‑driven risk‑alert scenarios by classifying business and product risk types, outlining solution patterns such as rule‑based, machine‑learning and knowledge‑graph approaches, and illustrating the process with concrete examples from vehicle telematics and data‑security auditing.

Data Securitybusiness risk managementdata product

0 likes · 11 min read

Designing Data Risk Alert Products: From Business Risk Management to Solution Implementation

DataFunTalk

Feb 9, 2021 · Big Data

Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan

This article details NetEase Yanxuan's business background, market characteristics, data product requirements, and the end‑to‑end design of a full‑chain marketing data product, covering attribution, metric evaluation, analysis frameworks, scenario‑based recommendations, and practical Q&A for data‑driven growth.

AttributionMetric EvaluationPredictive Analysis

0 likes · 18 min read

Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan

Didi Tech

May 15, 2020 · Artificial Intelligence

Key Factors for Effective Data Product Development and Algorithm Engineer Evaluation

Effective data product development hinges on deep business understanding, clear metric decomposition, rigorous model evaluation, and translating technical performance into business impact, while algorithm engineers are best assessed by publication quality, problem significance, algorithmic contribution, and practical interview questions on model tuning and improvement.

Big DataMachine LearningModel Generalization

0 likes · 10 min read

Key Factors for Effective Data Product Development and Algorithm Engineer Evaluation