Descriptive analytics is a type of analytics that focuses on describing what has happened in the past. It involves summarizing and visualizing data to better understand patterns, trends, and relationships.
Descriptive analytics is typically used to answer questions like:
- What has happened in the past?
- How has something changed over time?
- What are the characteristics of a particular group or population?
Descriptive analytics often involves the use of tools like graphs, charts, and tables to visualize data and make it easier to understand. It may also involve the use of statistical techniques like mean, median, and mode to summarize data and identify patterns.
Descriptive analytics is an important first step in the data analysis process, as it allows organizations to understand their data and identify areas that may require further investigation. It is often used in combination with other types of analytics, like diagnostic or predictive analytics, to gain a more comprehensive understanding of a particular situation or problem.
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