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Data Metrics

43 articles · Page 1 of 1
Data Integration and Governance
Data Integration and Governance
Aug 6, 2026 · Operations

How to Build a Complete Data Metric System: A Step‑by‑Step Guide

The article explains why many companies only have a metric list, not a true metric system, and outlines a six‑step framework—defining goals, decomposing metrics along business chains, unifying definitions, mapping to data sources, ensuring data quality, and managing the full lifecycle—to turn numbers into actionable business insights.

Business IntelligenceData GovernanceData Metrics
0 likes · 13 min read
How to Build a Complete Data Metric System: A Step‑by‑Step Guide
Smart Sea Tide
Smart Sea Tide
Jul 21, 2026 · Fundamentals

Building a Data Metrics Center: Essential Skills for Effective Business Analysis

The article explains how to construct a data metrics center by defining, categorizing, and governing indicators, illustrating the business‑data feedback loop, logical and business closure, and the roles of analysts, product managers, and engineers in turning data into actionable business insight.

Analytics ProcessBusiness AnalysisData Metrics
0 likes · 16 min read
Building a Data Metrics Center: Essential Skills for Effective Business Analysis
Data Integration and Governance
Data Integration and Governance
Jun 9, 2026 · Fundamentals

Why Data Tags and Metrics Are the Foundations of Effective Data Governance

The article explains how data tags and metrics—often overlooked in data governance—provide the essential cognition and measurement layers that enable reliable analytics, operational decisions, and AI deployment, and offers step‑by‑step guidance for building robust tag and metric systems.

Business IntelligenceData GovernanceData Integration
0 likes · 17 min read
Why Data Tags and Metrics Are the Foundations of Effective Data Governance
DataFunTalk
DataFunTalk
Nov 9, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data‑Driven Metric System to Boost Operations

This article explores Kuashou's e‑commerce data metric system, detailing why a metric framework is essential, the business context, the challenges faced across data production, querying and usage, and the practical solutions implemented to improve decision‑making and operational efficiency.

Data MetricsData ProductKuaishou
0 likes · 5 min read
How Kuaishou E‑Commerce Built a Data‑Driven Metric System to Boost Operations
DataFunTalk
DataFunTalk
Nov 1, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making

The article examines Kuaishou’s e‑commerce data metric system, detailing why a metric framework is essential, how it was built, the product practice, management methods, and the challenges faced by data product managers, engineers, and operators across production, querying, and usage stages.

Big DataData MetricsData Product
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making
DataFunTalk
DataFunTalk
Oct 31, 2025 · Big Data

How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making

This article explores Kuaishou e‑commerce's journey in constructing a comprehensive data metric system, detailing its business context, the necessity of metrics, challenges faced by data product managers and engineers, practical implementation steps, management practices, and a concluding Q&A.

Big DataData MetricsKuaishou
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Power Decision‑Making
DataFunTalk
DataFunTalk
Oct 27, 2025 · Big Data

How Kuaishou E‑Commerce Built a Powerful Data Metric System

This article examines Kuaishou's e‑commerce data metric system, explaining why such a framework is essential, how it was constructed, the practical product implementation, management practices, and lessons learned, while also addressing common data production, query, and usage challenges faced by product and engineering teams.

Data MetricsData ProductKuaishou
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Powerful Data Metric System
DataFunTalk
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 GovernanceData MetricsE-commerce Analytics
0 likes · 6 min read
How Kuaishou E‑Commerce Built a Data Metric System to Drive Growth
Smart Sea Tide
Smart Sea Tide
Aug 31, 2025 · Fundamentals

How to Build an Effective Data Metric System: Classification and Naming Rules

The article explains how to construct a data metric system by first defining metric categories and naming conventions, then distinguishing atomic and derived metrics, and clarifying related concepts such as business processes, modifiers, time periods, dimensions, and business domains.

Data GovernanceData Metricsbusiness analytics
0 likes · 4 min read
How to Build an Effective Data Metric System: Classification and Naming Rules
Big Data Tech Team
Big Data Tech Team
May 26, 2025 · Industry Insights

How to Build a Unified, Scalable Data Metric System for Digital Transformation

This article explains why unified data metrics are critical for digital transformation, outlines the core value of a metric product, details its classification, lifecycle, automation, and service integration, and proposes a three‑layer implementation architecture while looking ahead to AI‑driven enhancements.

Data MetricsIndustry Insightsdata platform
0 likes · 5 min read
How to Build a Unified, Scalable Data Metric System for Digital Transformation
Data Thinking Notes
Data Thinking Notes
Feb 6, 2025 · Fundamentals

Mastering Data Metric Systems: Principles, Processes, and Real-World Applications

This article offers a comprehensive, multi‑angle guide to building and applying data indicator systems, covering core principles, step‑by‑step construction flow, data collection, cleaning, validation, and continuous optimization to empower digital transformation and high‑quality business growth.

Business IntelligenceData GovernanceData Metrics
0 likes · 19 min read
Mastering Data Metric Systems: Principles, Processes, and Real-World Applications
Data Thinking Notes
Data Thinking Notes
Dec 3, 2024 · Fundamentals

How to Build a Robust Data Metric System: From Design to BI Application

This article explains how to construct a comprehensive data metric system—including classification of atomic and derived indicators, top‑down and bottom‑up design methods, data‑warehouse layer architecture, and BI analysis types—to ensure consistent, actionable insights across the enterprise.

BI analysisBusiness IntelligenceData Metrics
0 likes · 11 min read
How to Build a Robust Data Metric System: From Design to BI Application
Data Thinking Notes
Data Thinking Notes
Oct 24, 2024 · Big Data

Why Data Metrics Matter: Building Effective Indicator Systems

Understanding what data metrics are, how to construct comprehensive indicator systems, and why they are essential for data‑driven decision‑making, operational efficiency, and unified statistical standards is crucial for businesses seeking to leverage big‑data technologies and improve strategic outcomes.

Big DataData GovernanceData Metrics
0 likes · 12 min read
Why Data Metrics Matter: Building Effective Indicator Systems
DataFunSummit
DataFunSummit
Oct 20, 2024 · Operations

Data Metrics and Their Role in Business Operations: Current Challenges, Applications, and Future Outlook

This article examines the relationship between data metrics and business applications, outlines the current state and challenges of data metric usage, explains how metrics drive data‑driven operations, describes a step‑by‑step approach to building an application‑oriented metric system, and looks ahead to future trends in metric governance and automation.

Data GovernanceData Metricsbusiness operations
0 likes · 25 min read
Data Metrics and Their Role in Business Operations: Current Challenges, Applications, and Future Outlook
Data Thinking Notes
Data Thinking Notes
Aug 19, 2024 · Operations

How to Build an Effective Data Metric System for Business Success

This article explains what a data metric system is, why it’s essential for organizations, the stages of building it, required resources, organizational alignment, and a step‑by‑step path to create a robust, data‑driven indicator framework that supports product development, operations, and strategic decision‑making.

Data MetricsIndicator SystemOperations
0 likes · 17 min read
How to Build an Effective Data Metric System for Business Success
Data Thinking Notes
Data Thinking Notes
Jul 23, 2024 · Fundamentals

How to Build Effective Data Metrics and Indicator Systems for Business Decisions

This article explains the nature of raw data, defines metrics as data combined with business context, outlines the five‑W criteria for good metrics, and introduces two popular indicator‑system frameworks—Pirate Metrics (AARRR) and the First Key Metric method—along with practical steps for constructing a robust metric hierarchy.

Data MetricsIndicator Systembusiness analytics
0 likes · 7 min read
How to Build Effective Data Metrics and Indicator Systems for Business Decisions
Data Thinking Notes
Data Thinking Notes
Jun 18, 2024 · Big Data

How to Build a Robust Data Metric System: From Atomic to Derived Indicators

This article explains what a metric (indicator) is, distinguishes atomic, derived and composite indicators, outlines the OSM and UJM modeling methods, describes the steps for constructing a metric system, its integration with data warehouses, and details the design and technical implementation of a metric management platform.

Business IntelligenceData MetricsData Warehouse
0 likes · 13 min read
How to Build a Robust Data Metric System: From Atomic to Derived Indicators
DataFunSummit
DataFunSummit
May 29, 2024 · Big Data

Best Practices for Building an International Ride‑Hailing Data Metric System at Didi

This article presents Didi's comprehensive approach to designing, implementing, and governing a global data metric system for international ride‑hailing, covering business scenarios, metric‑related challenges, organizational structures, process flows, model architecture, time‑zone handling, tooling, and multi‑level governance.

Data MetricsRide HailingTime Zone
0 likes · 15 min read
Best Practices for Building an International Ride‑Hailing Data Metric System at Didi
DataFunTalk
DataFunTalk
Mar 29, 2024 · Big Data

Best Practices for Building an International Ride‑Hailing Data Metric System at Didi

This article outlines Didi’s best‑practice approach to constructing a global ride‑hailing data metric system, covering business scenarios, metric categories, pain points such as definition and technical challenges, and a comprehensive solution involving organizational structure, processes, model design, tooling, timezone handling, and governance.

Data GovernanceData MetricsDidi
0 likes · 13 min read
Best Practices for Building an International Ride‑Hailing Data Metric System at Didi
Data Thinking Notes
Data Thinking Notes
Jan 23, 2024 · Fundamentals

How to Build an Effective Data Metric System: Principles, Design, and Implementation

This article explains what data metrics are, why they matter, how to structure a metric system with dimensions, aggregation methods and measures, and provides step‑by‑step principles for designing, prioritizing, and implementing a robust data indicator framework that drives business insight and decision‑making.

Data MetricsKPIsbusiness analytics
0 likes · 21 min read
How to Build an Effective Data Metric System: Principles, Design, and Implementation
DataFunSummit
DataFunSummit
Dec 29, 2023 · Big Data

Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology

This article presents a comprehensive exploration of Shusheng Technology's indicator platform, covering industry challenges, three solution modes (Agile BI, Data Warehouse, Headless BI), the SwiftMetrics architecture, product capabilities, a retail case study, and future development plans for real‑time metrics and AI‑driven services.

BIData MetricsSwiftMetrics
0 likes · 15 min read
Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology
Data Thinking Notes
Data Thinking Notes
Oct 8, 2023 · Product Management

How to Build a Robust Data Metric System for Business Success

This guide explains why many enterprises struggle with incomplete metric systems, outlines universal principles, methods, and step‑by‑step procedures—including defining a North Star metric, creating a metric dictionary, and systematic integration—to design effective, dynamic data indicator frameworks that drive informed decision‑making.

Data AnalysisData MetricsIndicator System
0 likes · 12 min read
How to Build a Robust Data Metric System for Business Success
DataFunSummit
DataFunSummit
Sep 26, 2023 · Big Data

Understanding and Building Data Indicator Systems: JD’s Practices and Methodologies

This article explains how JD constructs and applies data indicator systems, covering the definition of metrics, the distinction between metrics and tags, the role of indicator systems in the data pipeline, traffic metric design, OSM modeling, north‑star metrics, DuPont analysis, and standardization of metric definition and development.

Data MetricsIndicator SystemNorth Star metric
0 likes · 17 min read
Understanding and Building Data Indicator Systems: JD’s Practices and Methodologies
Data Thinking Notes
Data Thinking Notes
Aug 23, 2023 · Fundamentals

Mastering Data Metrics and Tags: Build Powerful Indicator Systems

This article provides a comprehensive guide to data metrics and tags, explaining their definitions, classifications, conversion methods, practical usage scenarios, and step‑by‑step approaches for building robust metric and tag systems that support strategic decision‑making and operational efficiency.

Data GovernanceData MetricsIndicator System
0 likes · 10 min read
Mastering Data Metrics and Tags: Build Powerful Indicator Systems
Data Thinking Notes
Data Thinking Notes
Jun 24, 2023 · Fundamentals

Why a Robust Data Metric System Is the Lifeblood of Modern Businesses

This article explains the concepts, construction, and value of data metric systems and tag systems, describing how they help product managers turn raw data into actionable indicators, support decision‑making, guide operations, drive user growth, and ensure a unified statistical standard across the enterprise.

Big DataBusiness IntelligenceData Metrics
0 likes · 16 min read
Why a Robust Data Metric System Is the Lifeblood of Modern Businesses
DataFunSummit
DataFunSummit
May 2, 2023 · Fundamentals

Designing Effective Data Indicator Systems: Concepts, Principles, and Practices

This article explains what data indicators are, outlines the four essential elements of a good indicator, evaluates indicators across effectiveness, reliability, sensitivity, and operability, and introduces a comprehensive ebook that teaches how to build and apply data indicator systems in various industries.

Data MetricsKPIsindicator design
0 likes · 7 min read
Designing Effective Data Indicator Systems: Concepts, Principles, and Practices
DataFunTalk
DataFunTalk
May 2, 2023 · Fundamentals

Understanding the Importance and Practices of Indicator Management

This article explains why indicator management is essential for consistent data usage, outlines the three key benefits of unifying data language, production, and usage, and details the main components of an indicator management system, including business process indicatorization, standardization, and operationalization.

Data Metricsbusiness analyticsindicator standardization
0 likes · 8 min read
Understanding the Importance and Practices of Indicator Management
DataFunTalk
DataFunTalk
Apr 27, 2023 · Big Data

How to Build an E‑commerce Data Metric System

This article explains the concepts of good data metrics, how to identify and select appropriate indicators, and provides a step‑by‑step methodology—including the OSM model and a practical e‑commerce case study—for building a comprehensive data metric system that drives business growth.

Data AnalysisData MetricsKPI
0 likes · 15 min read
How to Build an E‑commerce Data Metric System
DataFunTalk
DataFunTalk
Dec 26, 2022 · Product Management

How Product and Business Teams Should Participate in Building Data Metric Systems

The article explains how product and business teams should collaborate with data teams to build and promote data metric systems, emphasizing mutual empowerment, joint methodology, pilot testing, and scaling, while also announcing DataFun's 5‑year anniversary activities and upcoming big‑data and AI publications.

Business CollaborationData GovernanceData Metrics
0 likes · 3 min read
How Product and Business Teams Should Participate in Building Data Metric Systems
DataFunSummit
DataFunSummit
Jan 22, 2022 · Fundamentals

How to Build a Data Metric System: Purpose, Methodology, and Application

With economic slowdown, the article explains why a data metric system is essential for business growth, introduces the OSM model (Object, Strategy, Measure), outlines four steps to build the system, and discusses its practical use, problem diagnosis, and implementation through Q&A.

Data MetricsOSM modelbusiness analytics
0 likes · 9 min read
How to Build a Data Metric System: Purpose, Methodology, and Application
Alibaba Terminal Technology
Alibaba Terminal Technology
Nov 10, 2021 · Operations

How QianNiu Cut Plugin Issues by 50%: Open Architecture & Monitoring Secrets

The article explains how Alibaba’s QianNiu multi‑platform workbench reduced open‑plugin related user complaints by half through defining open nodes, optimizing long plugin startup chains, building permission‑request loops, establishing comprehensive data‑driven metrics, and creating an open‑experience dashboard that monitors performance, reliability, and user‑perceived issues across mobile and desktop.

Data MetricsMonitoringOpen Platform
0 likes · 14 min read
How QianNiu Cut Plugin Issues by 50%: Open Architecture & Monitoring Secrets
DataFunTalk
DataFunTalk
Sep 8, 2021 · Product Management

Building Effective Data Metric Systems: Theory, Methodology, and Kuaishou Spring Festival Case Study

This article explains why a robust data metric system is essential for business decision‑making, defines the characteristics of a good metric system, introduces the OSM framework for constructing such systems, and illustrates the approach with Kuaishou's Spring Festival campaign, highlighting practical outcomes and lessons learned.

Data MetricsKuaishouOSM framework
0 likes · 21 min read
Building Effective Data Metric Systems: Theory, Methodology, and Kuaishou Spring Festival Case Study
DataFunTalk
DataFunTalk
Jul 31, 2021 · Big Data

Building a Data Metric System for NetEase Media Using OSM and AARRR Models

This article explains the concept of a metric system, why it is essential for fine‑grained product operations, and demonstrates how NetEase Media built a comprehensive data metric system using the North Star metric, OSM, and AARRR models within a layered big‑data warehouse architecture.

AARRRData MetricsData Warehouse
0 likes · 11 min read
Building a Data Metric System for NetEase Media Using OSM and AARRR Models
58UXD
58UXD
Mar 23, 2021 · Product Management

Essential Data Metrics Every Designer Should Master for Data‑Driven Decisions

This article introduces the fundamental user, behavior, and business data metrics—such as new users, DAU, retention, PV, UV, click‑through, bounce rate, GMV, conversion rate, and NPS—explaining their definitions, purposes, and how designers can use them to inform design decisions and improve product performance.

Data Metricsbehavior analyticsdesigner guide
0 likes · 7 min read
Essential Data Metrics Every Designer Should Master for Data‑Driven Decisions
58UXD
58UXD
Oct 12, 2020 · Product Management

How 58APP Boosted Design Consistency to Accelerate Team Efficiency and User Growth

This article explains how the 58APP platform identified design‑consistency problems across its many business lines, defined efficiency, quality, and verification goals, built shared interaction and UI component libraries, established data‑driven metrics, and achieved measurable improvements in publishing rates and overall user experience.

Data MetricsProject ManagementUX
0 likes · 11 min read
How 58APP Boosted Design Consistency to Accelerate Team Efficiency and User Growth
JD.com Experience Design Center
JD.com Experience Design Center
May 9, 2020 · Fundamentals

10 Essential E‑Commerce Metrics Every Analyst Should Master

This article explains the purpose and types of data metrics, outlines a logical framework for analyzing e‑commerce performance from traffic to behavior to transaction, and details ten key metrics—including GMV, conversion rate, UV value, click‑through and exposure rates—along with practical interpretation tips.

Data MetricsGMVUser Behavior
0 likes · 12 min read
10 Essential E‑Commerce Metrics Every Analyst Should Master
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 30, 2017 · R&D Management

Data‑Driven R&D: Cutting Overtime and Boosting Quality with Agile Metrics

This article shares an Alibaba technical expert’s data‑driven case study on improving a software development team’s efficiency and quality through agile practices, detailed metric analysis, targeted solutions, and continuous data operations, demonstrating how systematic measurement can reduce overtime and create a virtuous development cycle.

Agile methodologyData MetricsR&D Efficiency
0 likes · 9 min read
Data‑Driven R&D: Cutting Overtime and Boosting Quality with Agile Metrics