Data Visualization Vs Business Intelligence: Scope and Purpose
Difference between Data Visualization and Business Intelligence mainly differ in their scope and purpose.
Data Visualization:
- Scope: Primarily focuses on creating visual representations of data to communicate information clearly and effectively.
- Purpose: Helps users understand trends, patterns, and insights in data through visual exploration and analysis. It is often used to support decision-making and storytelling.
Business Intelligence (BI):
- Scope: Encompasses processes, tools, and technologies for collecting, analyzing, and presenting business information.
- Purpose: Aims to support decision-making and strategic planning in organizations by providing actionable insights derived from data. BI involves a broader range of activities beyond visualization, such as data integration, analytics, reporting, and dashboarding.
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 âextends 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.
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