Metric Management

DataFunSummit

Dec 20, 2024 · Big Data

Douyin Group's Data Management: Strategies for Metric Construction, Management, Production, and Consumption

This article outlines Douyin Group's approach to handling massive EB‑scale data, describing the challenges of metric quality and efficiency, the Volcano Engine data platform architecture, three‑layer solutions for metric production, management and consumption, and future plans for automation and governance.

Big DataData GovernanceData Platform

0 likes · 19 min read

Douyin Group's Data Management: Strategies for Metric Construction, Management, Production, and Consumption

DataFunSummit

Nov 29, 2024 · Big Data

Standardizing Metric Management in Didi’s Data Platform

The article outlines Didi’s end‑to‑end metric lifecycle—from background, requirements and current pain points to a multi‑stage solution that introduces a unified metric dictionary, management tool, logical modeling, and consumption layer—to achieve accurate, timely, consistent, and efficiently managed indicators across the data warehouse ecosystem.

Big DataData ModelingData Warehouse

0 likes · 20 min read

Standardizing Metric Management in Didi’s Data Platform

ByteDance Data Platform

Nov 6, 2024 · Big Data

How Douyin’s Data Platform Overcomes EB‑Scale Metric Challenges

This article explains how Douyin Group tackles massive data volume, quality, and efficiency issues by building a four‑layer intelligent platform, standardizing metric management, automating metric decomposition, and creating reusable metric services that boost agility, stability, and cross‑team collaboration.

Big DataData EngineeringData Platform

0 likes · 20 min read

How Douyin’s Data Platform Overcomes EB‑Scale Metric Challenges

DataFunTalk

Sep 28, 2024 · Big Data

Metric Management and Standardization in Didi's Data Platform

This article outlines Didi's approach to metric management, covering background, data product overview, and challenges in traditional and agile BI models, and presents a comprehensive solution for metric standardization, logical modeling, quality assurance, unified consumption, and future roadmap to improve data warehouse efficiency and consistency.

BIData GovernanceData Modeling

0 likes · 21 min read

Metric Management and Standardization in Didi's Data Platform

ByteDance Data Platform

Sep 18, 2024 · Big Data

Apache Calcite for Multi‑Engine Metric Management: Practices & Roadmap

This article explains the technical principles and best practices of multi‑engine metric management based on Apache Calcite, covering common metric management methods, implementation details of unified SQL, virtual columns, and SQL defined functions, and outlines ByteDance’s future roadmap for extending these capabilities.

Apache CalciteBig DataMetric Management

0 likes · 16 min read

Apache Calcite for Multi‑Engine Metric Management: Practices & Roadmap

DataFunTalk

Jul 16, 2024 · Big Data

E‑commerce Metric Management Practice Based on DataLeap

This article details ByteDance Volcano Engine's DataLeap‑driven e‑commerce metric management practice, covering the background of metric system construction, challenges of inconsistency, the six‑point platform solution, metric DSL query language, consumption workflow, and future plans for intelligent automation and large‑model integration.

Big DataData PlatformDataLeap

0 likes · 18 min read

E‑commerce Metric Management Practice Based on DataLeap

DataFunSummit

Jul 8, 2024 · Big Data

Metric Management and Intelligent Insight Practices at MuTong Technology

This article shares MuTong Technology's comprehensive experience in metric management, covering pain points, governance, naming standards, production‑consumption workflows, cost‑ROI optimization, and the implementation of intelligent insight modules to improve data quality, efficiency, and business decision‑making.

Big DataData GovernanceData Warehouse

0 likes · 22 min read

Metric Management and Intelligent Insight Practices at MuTong Technology

DataFunSummit

Jan 4, 2024 · Big Data

YY Live Business Metric Governance Practice

This presentation details YY Live’s data product team’s end‑to‑end business metric governance practice, covering problem background, analysis, governance objectives, multi‑team collaboration, implementation steps, achieved efficiencies, and future directions leveraging large language models.

Big DataData GovernanceData Platform

0 likes · 16 min read

YY Live Business Metric Governance Practice

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 GovernanceMetric Managementbusiness analytics

0 likes · 8 min read

Understanding the Importance and Practices of Indicator Management

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 IntelligenceData GovernanceData Operations

0 likes · 9 min read

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

DataFunTalk

Mar 26, 2023 · Fundamentals

Building and Applying an Experiment Platform: A/B Testing, System Integration, and Analysis

This article shares practical experiences and insights on building an experiment platform, covering A/B testing applications, platform selection, broader business use cases, rapid system integration, and robust experiment analysis techniques such as pre‑AA checks, SRM, Welch’s T and Z tests.

A/B testingMetric Managementdata analysis

0 likes · 19 min read

Building and Applying an Experiment Platform: A/B Testing, System Integration, and Analysis

DataFunTalk

Aug 31, 2022 · Big Data

Solving Data‑Driven Full‑Link Technical Challenges: A Case Study of the Kai Shu Storytelling App

This article analyzes the technical difficulties of building a data‑driven full‑link system and describes how the Kai Shu Storytelling app overcame them by adopting DataFinder for automated event tracking, metric management, and growth analysis, offering practical guidance for enterprises and developers.

App DevelopmentData EngineeringDataFinder

0 likes · 7 min read

Solving Data‑Driven Full‑Link Technical Challenges: A Case Study of the Kai Shu Storytelling App

Youzan Coder

Mar 13, 2020 · Big Data

Metric Library: Indicator Management System Practice at YouZan

YouZan’s Metric Library is a unified indicator management system that resolves inconsistent metric definitions, duplicate development, and unclear lineage by standardizing dimensions, atomic metrics, modifiers, and automatically generating derived metrics, then supporting scheduling, batch operations, and online APIs through integration with its data warehouse and service platforms.

Business IntelligenceDerived MetricsDimension Management

0 likes · 13 min read

Metric Library: Indicator Management System Practice at YouZan