Understanding Metrics: Definition, Value, Classification, Creation, Evaluation, Follow‑up and Review

The article explains what metrics are, why they matter, how they can be classified, the structured process for creating effective R&D metrics, criteria for judging good metrics, and practical methods for tracking, reporting, and periodically reviewing them to ensure continuous improvement.

Goal SettingKPIsMetrics

0 likes · 16 min read

Understanding Metrics: Definition, Value, Classification, Creation, Evaluation, Follow‑up and Review

Model Perspective

May 15, 2022 · Fundamentals

How to Normalize Indicators: 7 Essential Dimensionless Transformation Methods

This article explains the concept of indicator dimensionless processing and introduces seven common transformation techniques—including standard sample, ratio, vector normalization, range, and efficacy coefficient methods—to convert raw indicator values into comparable evaluation scores.

data normalizationdimensionless scalingindicator evaluation

0 likes · 3 min read

How to Normalize Indicators: 7 Essential Dimensionless Transformation Methods