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metric design

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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
Jan 4, 2024 · Big Data

How JD Designs and Applies a Powerful Data Metric System

This article explains JD's comprehensive approach to building, applying, and guaranteeing the effectiveness of a data indicator system, covering its conceptual foundations, differences from tags, placement in the data pipeline, traffic metrics, OSM modeling, north‑star metrics, DuPont analysis, and development standards.

big databusiness analyticsdata metrics
0 likes · 19 min read
How JD Designs and Applies a Powerful Data Metric System
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.

business analyticsdata analysisdata metrics
0 likes · 12 min read
How to Build a Robust Data Metric System for Business Success
DataFunSummit
DataFunSummit
Jul 2, 2023 · Big Data

Building a One‑Stop AB Testing Platform at NetEase Cloud Music: Architecture, Metric Infrastructure, Scientific Evaluation, and Efficiency

The article describes how NetEase Cloud Music designed and deployed a comprehensive AB testing platform, covering system infrastructure, metric modeling, scientific experiment validation (including SRM mitigation and statistical power), and operational efficiency improvements to support rapid product iteration across multiple devices.

AB testingData Infrastructurebig data
0 likes · 13 min read
Building a One‑Stop AB Testing Platform at NetEase Cloud Music: Architecture, Metric Infrastructure, Scientific Evaluation, and Efficiency
DataFunTalk
DataFunTalk
Nov 20, 2021 · Artificial Intelligence

Intelligent Pre‑Loan Risk Control: Multi‑Loop Feedback Model, AutoML Controller Selection, Unsupervised Feature Extraction, and Metric Design

The article presents Akulaku's intelligent pre‑loan risk control framework, detailing a multi‑loop feedback control model, AutoML‑driven controller selection, unsupervised feature extraction techniques, and a comprehensive metric quantification system to improve stability, steady‑state, and dynamic responses of financial risk management.

AutoMLfeedback controlfinancial technology
0 likes · 12 min read
Intelligent Pre‑Loan Risk Control: Multi‑Loop Feedback Model, AutoML Controller Selection, Unsupervised Feature Extraction, and Metric Design
Alimama Tech
Alimama Tech
Oct 20, 2021 · Big Data

Designing Evaluation Metrics and Building an Overall Evaluation Index (OEC) for AB Testing

The article explains how to design experiment evaluation metrics—from top‑down objectives to core, quality, and observation types—and construct an Overall Evaluation Criterion by processing, weighting, and aggregating metrics, providing a robust, scalable framework for credible AB‑test assessment and product optimization.

AB testingExperiment EvaluationOEC
0 likes · 11 min read
Designing Evaluation Metrics and Building an Overall Evaluation Index (OEC) for AB Testing
Didi Tech
Didi Tech
Aug 27, 2020 · Big Data

Building and Managing an Indicator System: Methodology, Models, and Practices

The article defines an indicator system as a structured set of interrelated metrics and dimensions, explains its lifecycle and hierarchy, presents OSM and AARRR models for construction, details metadata and dimension management, addresses business‑technical challenges, outlines a roadmap for implementation, and showcases DiDi’s deployment of thousands of indicators across dozens of domains.

AARRRData GovernanceOSM model
0 likes · 19 min read
Building and Managing an Indicator System: Methodology, Models, and Practices