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Why We Need Visual Analytics
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The world runs on data. With so many measurements and metrics to track, it can be hard to decipher what data is most important.

The real question then is, where do you begin?

The answer lies in Visual Data Analytics.

Visual Data Analytics is the key to sailing smoothly through the sea of data that companies now dwell in.

There are two approaches to Visual data Analysis:

1. Data Visualization

2. Visual Analytics

However, you do not have to make a choice between the two. Both functions co-exist and can aid your business in ways you might have never imagined.

1. Data Visualization

Data visualization is the graphical depiction of data, such as a dashboard, graph or report. It presents views of data that answer the “what” question, such as, “What are our sales and profits, for different regions, and different months or years?” It helps to tell a story about your data, and to identify problems and issues.

2. Visual Analytics

Answering the “what” question is the first step in understanding your data. The next step is asking “why.” To dig deeper, you must perform visual analytics. Visual analytics can help you explore, find answers, and build stories based on your data.

With the help of productive visual analysis, you can:

• Instantly change what data you are looking at

• Instantly change the way you are looking at it

The meaning in your data unfolds as you create different views to answer different questions—so your exploration leads to better analysis, not dead ends. You and your team can make the most of your data through visual data analytics.

If you want to learn more about the benefits of visual analytics, click the link below for more information.