Descriptive Analysis
Descriptive analysis in business intelligence involves examining historical data to understand what has happened in a business. It uses tools and techniques to summarize past events, such as sales trends, customer behavior, and performance metrics. By analyzing this data, businesses can identify patterns, insights, and anomalies that help them make informed decisions. Essentially, descriptive analysis answers questions like "What were our sales last quarter?" or "How many customers visited our site last month?" This understanding forms a foundation for further analysis and strategic planning.
Additional Insights
-
Descriptive analysis is a method used to summarize and interpret data, allowing us to understand what has happened in the past. It involves collecting and organizing information, such as statistics or survey results, to reveal patterns and trends. For example, in general knowledge, descriptive analysis might look at historical events, demographic information, or survey data about public opinion. The goal is to provide a clear overview that helps identify key insights without making predictions about the future. Essentially, it helps us make sense of data by presenting it in a meaningful way.