In data-driven decision making, what is the significance of data visualization?
- It emphasizes real-time analysis of streaming data.
- It focuses on comparing different versions of a product to optimize performance.
- It helps in summarizing and presenting complex data in a visually appealing manner.
- It involves using machine learning algorithms to make decisions automatically.
Data visualization is significant in data-driven decision making as it helps in summarizing and presenting complex data in a visually appealing and easily understandable format. This enables stakeholders to grasp insights quickly, make informed decisions, and communicate findings effectively.
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