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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 Analyticsbusiness operationsdata governance
0 likes · 25 min read
Data Metrics and Their Role in Business Operations: Current Challenges, Applications, and Future Outlook
DataFunSummit
DataFunSummit
Aug 9, 2024 · Big Data

Design and Practice of Ant Group's Metric System

This article presents a comprehensive overview of Ant Group's metric system, covering its definition, three-layer architecture, common challenges, concept consensus methods, semantic layer options, mechanism design, productization capabilities, platform improvements, business outcomes, future directions, and a detailed Q&A session.

big datadata governancedata modeling
0 likes · 28 min read
Design and Practice of Ant Group's Metric System
DataFunTalk
DataFunTalk
May 28, 2024 · Big Data

Building and Managing a Metric System in Data Warehouse: Practices from Dongchedi

This article details how the Dongchedi business team designs, implements, and monitors a comprehensive metric system within its data warehouse, covering metric standards, model construction, metadata management, quality monitoring, application scenarios, and future directions using the DataLeap platform.

Monitoringbig datadata governance
0 likes · 18 min read
Building and Managing a Metric System in Data Warehouse: Practices from Dongchedi
DataFunTalk
DataFunTalk
Apr 12, 2024 · Big Data

Building and Managing an Indicator System in a Data Warehouse: Practices from the Dongchedi Business

This article explains how the Dongchedi team designed, implemented, and monitored a comprehensive indicator system within a petabyte‑scale data warehouse, covering standards, metadata management, model construction, quality monitoring, and diverse application scenarios to improve data reliability and business insight.

Indicator Managementbig datadata governance
0 likes · 18 min read
Building and Managing an Indicator System in a Data Warehouse: Practices from the Dongchedi Business
Architecture and Beyond
Architecture and Beyond
Mar 16, 2024 · R&D Management

Building a Metric System for SaaS Technical Management

The article explains how SaaS companies can design and implement a comprehensive metric system that aligns business and technical indicators, supports data‑driven decision‑making, improves resource allocation, and drives continuous improvement across all organizational levels.

KPIR&D managementSaaS
0 likes · 12 min read
Building a Metric System for SaaS Technical Management
DataFunSummit
DataFunSummit
Mar 4, 2024 · Big Data

Near Real-Time Metric System Architecture for Dongchedi Used Car Business

This article introduces Dongchedi's near real‑time metric system architecture, covering business background, technical challenges, the unified storage‑compute and query service design using the Las lakehouse built on Apache Hudi, solutions to consistency issues, achieved results, and future plans for further real‑time improvements.

Apache HudiLakehousebig data
0 likes · 13 min read
Near Real-Time Metric System Architecture for Dongchedi Used Car Business
DataFunSummit
DataFunSummit
Feb 18, 2024 · Big Data

Building and Managing an Indicator System in a Data Warehouse – Lessons from Dongchedi

This article explains how Dongchedi’s data‑warehouse team designed, implemented, and monitored a comprehensive indicator system, covering metric standards, model construction, metadata management, quality control, and diverse application scenarios to support both C‑end and B‑end business needs.

Indicator Managementbig datadata governance
0 likes · 18 min read
Building and Managing an Indicator System in a Data Warehouse – Lessons from Dongchedi
DataFunTalk
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
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
DataFunTalk
Nov 28, 2023 · Big Data

Xiaomi Metric System Construction and Management Best Practices

This article presents Xiaomi's comprehensive metric system framework, covering its definition, business pain points, the OSM and MECE methodologies, model design principles, data warehouse construction, metric management, and future outlook, illustrating how a unified data platform drives efficient business decision‑making.

Business IntelligenceMECEOSM Model
0 likes · 10 min read
Xiaomi Metric System Construction and Management Best Practices
DataFunSummit
DataFunSummit
Jul 13, 2023 · Product Management

Growth Analysis Methodology and Practice: Building Metric Systems and Closing the Analysis Loop

This article presents a comprehensive guide to growth analysis, covering basic methodologies, construction of a growth metric system, end‑to‑end analysis loops, practical case studies, emerging metric scenarios, and the upgraded professional version of the growth analysis platform.

A/B testingdata-driven growthgrowth metrics
0 likes · 22 min read
Growth Analysis Methodology and Practice: Building Metric Systems and Closing the Analysis Loop
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.

OSM Modelbusiness analyticsdata metrics
0 likes · 9 min read
How to Build a Data Metric System: Purpose, Methodology, and Application
DataFunTalk
DataFunTalk
Jan 4, 2022 · Fundamentals

How to Build a Data Metric System: Purpose, Construction Steps, and Practical Application

This article explains why a data metric system is essential for business growth, describes the OSM (Object‑Strategy‑Measure) model and four concrete steps to construct a metric system, and shows how to use it for diagnosis, factor analysis, and problem solving in real‑world scenarios.

KPIsOSM Modelbusiness analytics
0 likes · 11 min read
How to Build a Data Metric System: Purpose, Construction Steps, and Practical Application
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.

AARRROSM Modelbig data
0 likes · 11 min read
Building a Data Metric System for NetEase Media Using OSM and AARRR Models
58 Tech
58 Tech
Jun 9, 2021 · Big Data

Designing and Implementing a Unified Data Metric System for 58 Commercial Data Team

This article explains how 58's commercial data team built a comprehensive data metric system—from identifying common metric definition issues to establishing a domain‑driven hierarchy, distinguishing atomic and derived metrics, implementing a unified metric management platform, and providing APIs and examples for querying and visualizing metrics.

JavaSQLbig data
0 likes · 17 min read
Designing and Implementing a Unified Data Metric System for 58 Commercial Data Team
DataFunTalk
DataFunTalk
Oct 5, 2020 · Big Data

Building and Managing a Metric System: Methodology, Lifecycle, and Productization at Didi

This article explains Didi's comprehensive methodology for constructing, operating, and productizing a metric system, covering metric definitions, lifecycle stages, OSM and AARRR modeling, scenario‑based design, management challenges, metadata governance, and tool support for data‑driven decision making.

AARRR ModelDidiIndicator Lifecycle
0 likes · 19 min read
Building and Managing a Metric System: Methodology, Lifecycle, and Productization at Didi
Xueersi Online School Tech Team
Xueersi Online School Tech Team
Jul 31, 2020 · Big Data

Designing and Implementing a Comprehensive Data Metric System and Data Warehouse for Online Education

This article explains how to build a systematic data metric framework—including indicator definitions, dimension management, data dictionary, and data warehouse architecture—to turn massive online‑school data into actionable business insights and support efficient decision‑making and BI visualization.

Business IntelligenceData DictionaryOLAP
0 likes · 23 min read
Designing and Implementing a Comprehensive Data Metric System and Data Warehouse for Online Education
Fangduoduo Tech
Fangduoduo Tech
Nov 10, 2018 · Product Management

How to Build a Data‑Driven Metric System That Powers Product Growth

The article explains why a systematic data‑driven metric framework is essential for product and business decisions, outlines a step‑by‑step method to build baseline metrics using business‑story logic, introduces the AARRR pirate‑metrics model, and shares practical tips for continuous monitoring, iteration, and scaling of metric systems.

AARRRbusiness analyticsdata-driven
0 likes · 16 min read
How to Build a Data‑Driven Metric System That Powers Product Growth