Descriptive Analytics

Service Description

Definition: Descriptive analytics is a broader, data analytics process that uses descriptive statistics and other visualization and reporting techniques to interpret historical data. It’s about analyzing trends and patterns to tell the story of what occurred in a business or process. Purpose: To explain past performance and trends and provide context for decision-making. It’s the “What happened?” phase of analytics. Key Tools & Techniques: Dashboards and reports (Power BI, Tableau) Data aggregation and visualization Time-series trend analysis Drill-down and slice-and-dice techniques Example (in Data Science): Creating a dashboard that visualizes monthly defect trends, customer return rates, or production yields across regions to identify where variation is most significant.