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data metrics

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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
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 ModelingInternationalizationRide-hailing
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.

DidiInternationalizationMulti‑Timezone
0 likes · 13 min read
Best Practices for Building an International Ride‑Hailing Data Metric System at Didi
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.

BIBig DataData Virtualization
0 likes · 15 min read
Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology
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.

Big DataOSM Modelbusiness analytics
0 likes · 17 min read
Understanding and Building Data Indicator Systems: JD’s Practices and Methodologies
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.

KPIsanalyticsdata governance
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.

Metric Managementbusiness analyticsdata governance
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.

KPIOSM Modeldata analysis
0 likes · 15 min read
How to Build an E‑commerce Data Metric System
DataFunSummit
DataFunSummit
Apr 16, 2023 · Fundamentals

Why Metric Management Matters and How to Build an Effective Metric Management System

This article explains the importance of metric management for unified data language, consistent data production, and increased metric usage, and outlines a three‑part system covering business‑process metricization, standardization of naming, scope and lifecycle, and operationalization of metrics.

Business IntelligenceMetric Managementdata governance
0 likes · 9 min read
Why Metric Management Matters and How to Build an Effective Metric Management 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.

analyticsbusiness collaborationdata governance
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.

OSM ModelOperationsbusiness analytics
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
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.

KuaishouOSM frameworkbusiness analytics
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.

AARRRBig DataData Warehouse
0 likes · 11 min read
Building a Data Metric System for NetEase Media Using OSM and AARRR Models