Data Science

Sdot Data Analysis

📊 Descriptive Analysis: Understanding Past Data

Descriptive analysis focuses on summarizing and interpreting past data to identify trends, patterns, and insights. This method is widely used in business intelligence and reporting, helping organizations analyze their historical data for better decision-making.

Some key techniques of descriptive analysis include:

  • Data Summarization – Calculating averages, medians, and distributions to get an overview of data.
  • Data Visualization – Using graphs, charts, and dashboards to represent trends and patterns visually.
  • Reporting and Dashboards – Interactive tools like Tableau, Power BI, and Google Data Studio are used to track performance metrics.

For example, an online retailer can use descriptive analytics to monitor monthly sales trends, identify the most popular products, and optimize marketing strategies.