Descriptive Analytics
Descriptive analytics is a branch of data analytics that focuses on summarizing and describing historical data to understand what has happened in the past. It involves techniques such as data aggregation, visualization, and statistical analysis to identify patterns, trends, and key performance indicators (KPIs). This foundational approach provides insights into business performance, customer behavior, or system operations without making predictions or prescribing actions.
Developers should learn descriptive analytics to effectively analyze and communicate data insights from applications, databases, or logs, enabling data-driven decision-making. It is essential for roles involving business intelligence, reporting, or data visualization, such as when building dashboards, monitoring systems, or optimizing user experiences based on historical data. Use cases include generating sales reports, tracking website traffic, or analyzing error logs to identify recurring issues.