Data Visualization: Why Does It Matter in Businesses?

Bineesh Mathew | February 18, 2022 | 256 views

Data Visualization

Data visualization refers to a graphical representation of information that displays patterns and trends while allowing viewers to gain rapid insights. Data visualization is critical for businesses to quickly detect trends in data that would otherwise be time-consuming. However, making sense of the quintillion bytes of daily data is difficult without data proliferation, including data visualization.


Understanding data is beneficial to every professional business; hence, data visualization is spreading to all fields where data exists. For any company, data is its most valuable asset. One can effectively communicate their points and use that knowledge by using visualization.

"Data visualization is a great way to simplify data and show it in a form that is understandable, insightful, and actionable. Data visualization is being increasingly seen as the vital final step of any successful data-driven analytics plan."

Caroline Lee, CocoSign

Why Does Data Visualization Matter?

As we acquire more and more data, data visualization becomes increasingly critical, to the point where we are nearly drowning in information, and it is difficult to distinguish what is significant and what is not—for example, the product development program for a new automobile or plane. Analyzing test data is vital, but a massive amount of information is created with each test drive or flight, making processing at the required speed challenging. Visualization tools help comprehend complex data and detect patterns and anomalies.

  • Visual information accounts for 90% of the information sent to the brain.
  • Data visualizations can shorten business meetings by 24%.
  • Managers who use visual data recovery tools are 28 percent more likely than those who rely on managed reporting and dashboards to find timely information.
  • 48% of these managers can find the data they need without the help of I.T. staff.
  • For every dollar spent on business intelligence with data visualization skills, $13.01 will be returned.

Let us look into some of the benefits of data visualization in businesses.

The Creditable Impact of Data Visualizations on Business

While big data is ruling industries, business intelligence transforms much of this data into actionable data points. As a result, data visualization plays a role in transferring information to the human brain by swiftly presenting data.

Visualization has a lot of aesthetic importance in representing and conveying a clear message. Businesses that rely solely on data will eventually go out of business if data visualization is not implemented. Data visualization's competitive benefits can make or kill enterprises. It is critical to know that there are no shortcuts to making faster and better judgments without visualizing the data.

Data Visualization Helps You Take Better Decisions Based on Data

Unlike meetings that focus on text or numbers, business meetings that address visual data tend to be shorter and easier to reach consensus on. Data visualization speeds up decision-making and allows viewers to better understand patterns and trends.

The benefits of data analytics can be accessed across all departments, right from admin to IT, sales to marketing. Even if they are not experts at reading data, your sales team can better understand consumer behavior and impressions if the correct data visualization solutions are in place. With the proper training and tools in place, you can build specialists using data visualization, a combination of technical analytics, and artistic narrative.

When visualizations are created to meet your business goals, you will obtain the best results. For example, some data visualizations help in analysis, while others make the data visually appealing. Some are created to demonstrate concepts, processes, or tactics to various audiences. You can create your own based on your specific goals, data types, and stakeholder requirements.

Data Visualization Is a Medium to Tell a Data Story to the Viewers

Data visualization can also tell a story about data to the audience. The visualization can convey facts in an easy-to-understand format while creating an account and bringing the audience to a predetermined conclusion. This data tale should have a strong start, a basic storyline, and a logical decision like any other story.

If a data analyst is tasked with creating a data visualization for company leaders that details the profitability of various items, the data story could begin with the profits and losses of multiple products before moving on to advice on how to address the failures. Create your own depending on your specific goals, data types, and stakeholder requirements.

Data Visualization Helps You Gather Data Faster and Saves Time

Data visualization is a much faster way to get insights from data than examining a chart. Using data visualization, business meetings can take decisions faster, saving time. When the long meetings are cut short by utilizing data visualization, businesses can dedicate more time to other core business activities.

Summing up

To develop excellent data visualizations, various tools and methodologies are available. You and your team must comprehend the fundamental principles and choose appropriate tools. Above all, the data must be presented accurately. Layouts, colors, text, and dashboards must be appropriately crafted to build data visualizations that best help your business objectives.

Frequently Asked Questions


Why is data visualization important?

Presenting data in a visual or graphical style is known as data visualization. It allows decision-makers to see analytics in a graphic format, making it easier to grasp complex topics or spot new patterns.

What are some of the types of data visualization?

There are several types of data visualization. They are line graphs, scatter plots, pie charts, heat maps, area charts, histograms, and choropleths.

What are the main goals of data visualization?

The main goals of data visualization are to understand your audience, stick to a strict timeline, and deliver a compelling story.

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