#Data

A Data Center Is Not a Report: From Data Production to Business Judgment

Starting from the different questions asked by analysis, operations, and engineering, this article organizes how a data center for a multi-source business platform should divide Tabs, define metrics, structure read and write paths, and handle billing, reconciliation, growth, and cost.

Short

22 min read

• #Data
• #Metrics
• #Systems Design

How a Marketing Campaign Becomes a Growth System: From Transaction Facts to Auditable Entitlements

Starting with referral rewards and transaction systems, this article designs reusable, auditable marketing infrastructure across campaigns, audiences, entitlements, budgets, attribution, risk, experimentation, messaging, and measurement.

Case

16 min read

• #Systems Design
• #Risk Management
• #Anti-Scam

Data Measurement as Organizational Protocol: Definitions, Measurement, Tiering, and Retrospectives

A research-design and protocol paper: reframing data measurement from what belongs on the dashboard into a recomputable, reviewable, decision-supporting collaboration protocol, with minimal mechanisms for definitions, measurement units, metric tiering, dictionaries, and retrospectives.

11 min read

China Housing Price Data: A Source- and Methodology-Aware Approach

How to build reproducible China housing price data across official 70-city indexes, Beijing district-level listings, LPR, and transaction records without confusing incompatible measures.

Data Measurement Guide (Part 5): Periodic Statistics and Retrospectives, Turning Numbers into the Next Action

From daily and weekly reports to problem retrospectives: how to maintain baselines, record changes, judge impact, and turn data conclusions into verifiable action items.

Short

4 min read

Part of the column “Data Metrics Guide” · Chapter 5

• #Data
• #Metrics
• #Retrospective

Data Measurement Guide (Part 4): The Metric Dictionary Template — Turning Definitions into a Recomputable Collaboration Interface

A ready-to-copy metric dictionary template, plus public examples for completion rate, retention, conversion, error, experience quality, and feedback metrics.

Short

4 min read

Part of the column “Data Metrics Guide” · Chapter 4

• #Data
• #Metrics
• #Collaboration

Data Measurement Guide (Part 3): Metric Tiers, Let Data Serve the Most Important Decisions First

Don't lay metrics flat on the dashboard: prioritize them by task relevance, scope of impact, actionability, and data trustworthiness, and choose what to watch at each stage.

Short

4 min read

Part of the column “Data Metrics Guide” · Chapter 3

• #Data
• #Metrics
• #Collaboration

Data Measurement Guide (Part 2): Define What You're Measuring Before Arguing About Metrics

A publicly reusable metric dictionary: from requests and users to tasks, explaining how availability, error, latency, performance, and feedback data should be defined, combined, and interpreted.

Short

13 min read

Part of the column “Data Metrics Guide” · Chapter 2

• #Data
• #Metrics
• #Measurement

Data Measurement Guide (Part 1): Data Definitions Are the Interface of Collaboration

Metrics are not numbers on a report; they are the shared language a team uses to describe the same thing. Only after defining the object, event, denominator, and time can data participate in decisions.

Short

6 min read

Part of the column “Data Metrics Guide” · Chapter 1

• #Data
• #Metrics
• #Collaboration