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The Data Visualization Software

Data experts must analyze, interpret, and visualize massive datasets daily. That’s why they must have good data visualization tools in hand. These digital tools can help design and analyze the visual data representation.

What is Data Visualization Software?

Data visualization software is a digital tool designed to represent data in visual formats such as graphs, charts, and heat maps. These tools make it easier to work with a large amount of data. The right data visualization tools make it easier to make data-based decisions without wasting your time wrangling raw data into an interpretable format. 

Common Features of Data Visualization Software

Data visualization software comes with several incredible features, including:

1. Analytics

Using analytics features, data experts can inform, and automate. The tool supports analytical processes, including accessing, preparing, and analyzing data. Additionally, thanks to the analytics feature, businesses can transform their culture and become more innovative in their decisions.

2. Big Data

The tool features big data functionality, which helps identify patterns and reduce noise and low values from data to deliver clear insights. This helps business owners make quick decisions. So, to get the most from data visualization, the tool you intend to select must have big data functionality.

3. Dashboard

The tool has a user-friendly dashboard, which displays data in an easy-to-understand format. The dashboard is often used to pull data into a single screen, making it easy to monitor data at a glance. Using the right dashboard, the organization can view important information or major performance indicators.

4. Database

Data visualization software features a database system that relates different datasets to one another.

5. Data Export

Data export is a must-have feature that helps synchronize the 365 dataset, which in turn helps synchronize changes constantly.

7. Data Import

Through the data import feature, data experts can easily import data from CSV. This feature makes it easier to upload huge amounts of data into the system. The feature ensures that your data is ready before importing.

6. Data Visualization

The functionality curates data into an easy-to-understand format. The feature eliminates noise from data and leaves you with relevant information.

8. External Integration

External integration functionality gives data professionals the skills and expertise to represent external data in an easy-to-understand format.

9. SEO

SEO functionality in data visualization allows traffic to the organization's website. Through this feature, your website can outshine your competitors.

Types of Data Visualization Software

There are several types of data visualization tools. These tools are designed to meet different needs. The following are common types of data visualization tools:

1. On-Premise Data Visualization Software

This data visualization tool is located on the user's device. The tool works on the user's computer resources and can easily be customized to suit various needs.

2. Cloud-Based Data Visualization Software

This visualization tool is often hosted by a third party. This means that it is accessed through the internet and doesn't use computing resources.

3. Open-Source Data Visualization Software

This is referred to data visualization tool whose source code you can tweak to meet your needs.

4. Proprietary Data Visualization Software

This is a fully paid data visualization tool. The software is often available in the cloud base and independent user's server architecture.

5. Free Data Visualization Software

This is a fully functional data visualization software. However, it has limited features.

The Data Visualization Software

Infogram Logo

Infogram is the perfect tool for  those professional reports, graphs and infographics. They’ve helped us give more than one effective presentation to management!

Gabriel Lee, Davinci Formula
Qlik Logo

This is the fastest, simplest, and most powerful data analytics tool I’ve used so far. Also, the fact that we can write data back to a database from within the platform makes it incredibly flexible. 

Sam Clement, Adventure Travels
Tableau Data Visualization

As a data analyst who works with several clients, Tableau has become my go-to visualization tool. Beyond making data easier to manage, it also makes the data fun to look at. This is a big plus.

Tom Hunt, Dropcart

Benefits of Data Visualization Software

Data visualization tools simplify data complexity. These tools help organize data based on themes, making them easy to understand. The following are the benefits of using these tools:

1. Helps Unlock Key Values

Data visualization software help unlock key values from large datasets. Large datasets can be particularly challenging to wrap your head around. These tools simplify this complexity by making key points visible and easy to understand for every organization member.

2. Unlocks Patterns

Data visualization tools help unlock patterns and make them visible. Additionally, they help organizations identify data relationships and patterns. Exploring these patterns allows users to focus on areas that need more attention. These patterns also reveal clear insights that may be missing in traditional reports When the organization gets used to dashboard reports and data visualization, it can easily get a clear picture of its performance.

3. High Productivity

Data visualization delivers real results. The process also saves time, which improves efficiency.

4. Delivers Actionable Items

Through data visualization software, members can see where they need to put in more effort and where there is a high performance.

How to Select the Best Data Visualization Tools

With several data visualization tools on the market, choosing the right tool for your organization can be quite challenging. As such, many factors need to be considered, including:

1. Customizability

Customizability is one of the major factors you must consider before deciding on data visualization software. The tool should allow various modifications, such as customizing default graphs.

2. Flexibility

Many data visualization tools focusing on flexibility have several incredible features to deliver complete configuration control. Additionally, these tools are meant to provide more analytical abilities.

3.Focus on Your Goals

Before deciding on a data visualization, determine whether you intend to use the tool to understand and use discoveries of your marketing campaigns or whether you intend to make your organization data-driven. Determining what you want to achieve with the tool will help you choose what suits your business.

4. Consider the Size of Your Dataset

The dataset size can affect the performance of the data visualization software. Some of these tools only allow uploading of a limited number of rows.

5. The Cost

Cost is one of the major factors you must consider before deciding on a data visualization tool. It's important to know the costs and various subscription plans to avoid surprises.

The Bottom Line

Data visualization tools are designed to help users represent data in an easy-to-understand format. The tools are flexible and include various subscription plans. All these tools are designed to simplify data complexity and improve efficiency.