Advantages of Data Visualization
- Improved Understanding: Visual representations make complex data easier to understand, enabling better comprehension of patterns, trends, and insights.
- Effective Communication: Visualizations can convey information more effectively than text or tables, making them valuable for communicating findings to stakeholders.
- Quick Insights: Visualizations allow users to quickly grasp key points in data, enabling faster decision-making.
- Identifying Trends: Visualizations help in identifying trends, correlations, and outliers in data that may not be apparent in raw data.
- Enhanced Storytelling: Visualizations can be used to tell a compelling story with data, making presentations and reports more engaging and persuasive.
Difference between Data Visualization and Business Intelligence
Data visualization is one of the analytical tools used in data science and it simply refers to the process of representing data graphically to allow data communications and expression of patterns. The tool aims to make the charts, graphs, and maps simple to understand as well as to discover the facts that fill the blanks. Unlike business intelligence, though, the latter “extends to various processes, methodologies and technologies that get used in the course of data retrieval and interpretation with a view of returning more relevant decisions inside companies.