What are common data visualization techniques used in BI?

The selection of common data visualization techniques in business intelligence encompasses a broad range of tools that facilitate understanding data patterns and insights. The correct answer includes bar charts, line graphs, heat maps, scatter plots, and dashboards, which are all essential visualization methods utilized across various BI applications.

Bar charts are effective for comparing quantities across different categories, making them a staple in BI for visualizing discrete data. Line graphs are particularly useful for illustrating trends over time, allowing analysts to see fluctuations and patterns that may be critical for decision-making. Heat maps offer a way to visualize data density and intensity, often used to represent the distribution of values across geographic regions or categories. Scatter plots are valuable for showing the relationship between two different variables, helping to identify correlations or clusters. Finally, dashboards combine multiple visualization types into a single interface, providing a comprehensive overview of key performance indicators and metrics for quick assessment.

This holistic view of various visualization techniques underscores their importance in transforming complex data into accessible insights, enabling organizations to make informed, data-driven decisions. Other options may list several effective visualization techniques, but they do not encompass the entire suite that is typically recognized as standard practice in BI.