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Analytics And Metrics

Analytics and metrics refer to the systematic collection, analysis, and interpretation of data to measure performance, inform decisions, and optimize processes in software development and business operations. This involves tracking key indicators (KPIs) such as user engagement, system performance, and business outcomes to derive actionable insights. It encompasses tools, methodologies, and practices for data-driven decision-making across development, product management, and operations.

Also known as: Metrics and Analytics, Data Analytics, Performance Metrics, KPIs, Analytics
🧊Why learn Analytics And Metrics?

Developers should learn analytics and metrics to build data-informed applications, improve user experiences, and optimize system performance, such as by identifying bottlenecks or enhancing features based on usage patterns. It is crucial in roles involving product development, DevOps, and performance engineering, where metrics like response times, error rates, and conversion rates drive iterative improvements and business value.

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