Data Analysis: Steps, Methods, and Thinking Frameworks

This article explains how to conduct data analysis by accurately interpreting numbers and context, objectively assessing problems with standards, selecting appropriate analytical methods, and adopting structured thinking frameworks such as business‑process, department‑function, and strategy‑goal orientations to derive actionable insights.

Business Intelligenceanalysis frameworkanalytics methods

0 likes · 7 min read

Data Analysis: Steps, Methods, and Thinking Frameworks

DataFunTalk

Aug 16, 2021 · Fundamentals

Common Pitfalls in Problem Identification and Analysis Thinking for Data Analysts

The article explains how analysts should responsibly identify problems and choose analysis frameworks, illustrating typical traps such as unclear metric definitions, Simpson's paradox, and false causation through three practical scenarios and offering structured thinking methods to avoid chaotic analysis.

Simpson's paradoxanalysis frameworkanalysis pitfalls

0 likes · 7 min read

Common Pitfalls in Problem Identification and Analysis Thinking for Data Analysts

21CTO

Dec 30, 2015 · Frontend Development

How Meituan Overcame Performance Bottlenecks with a Custom Analysis Framework

This article details Meituan's 2014 presentation on building a performance analysis framework and monitoring platform, describing the bottlenecks they faced, the metrics they collected, the insights gained, and the tangible improvements achieved across front‑end and back‑end processing.

Frontend OptimizationMeituanPerformance Monitoring

0 likes · 13 min read

How Meituan Overcame Performance Bottlenecks with a Custom Analysis Framework