Data Analytics

Data analytics is the process of examining, cleaning, and modeling data to discover useful insights, inform conclusions, and support decision-making. In the digital context, it encompasses web analytics tracking user behavior, product analytics measuring feature adoption, marketing analytics evaluating campaign performance, and operational analytics monitoring system health and business processes.

The analytics stack typically includes data collection tools like Google Analytics, Mixpanel, or Amplitude that capture user events, a data warehouse such as BigQuery or Snowflake where data is consolidated, transformation layers using tools like dbt to clean and model the data, and visualization platforms like Tableau or Metabase where stakeholders explore the results.

For web development, data analytics is relevant because developers implement the tracking that feeds the entire analytics pipeline. This means instrumenting event tracking in application code, ensuring data quality by validating that events fire correctly with the right properties, implementing privacy controls for GDPR and cookie consent, and sometimes building custom analytics dashboards. Poorly implemented tracking leads to unreliable data that undermines every downstream analysis.