What exactly is data visualization software?

The insights obtained from the visual representation of the data presented via reports are called data visualization. The technique is widely used to help understand the complicated relationship with the data using visual graphics.

It is one of the necessary steps of the data science processes, which was initially developed by Joe Blitzstein. After the data is collected, you draw appropriate conclusions from it. Next, the data is processed and modeled into a piece of visual information. Data visualization techniques, patterns, trends, and correlations can be observed, which was previously missed.

What are the types of data visualization software available?

Data visualization software is basically divided into two parts,

On-Premise solution

As the name suggests, the on-premise solution is located where the client has their computer systems installed. The data visualization tool then works with the client’s computing system, and the client can customize it based on their needs.

Closed based solution

This solution, unlike the on-premise solution, isn’t stored at any physical location. It is stored in the cloud storage where it is accessible anywhere in the world via the internet. It is not connected to the client’s computer and can be used on a subscription basis.

What are the features of the data visualization software?

In data visualization, the information is communicated using statistical graphs, plots, and information charts. It helps users to analyze the reason for the data and evidence presented before them. It makes the complex data accessible and easy to understand using their simple visual presentation.

Particular analytical tasks such as making comparison charts and obtaining design principals of the graphics can be made much easier. Here are some of the features that you should look out for in a data visualization software,

Clear and concise dashboard

The dashboard can be easily called as the face of the data visualization tool. Like a car dashboard, it tells you how much speed you are going, what level of gas is, and whether your car engine is running hot or not. Similarly, the data visualization software should be able to present you with vital information all at once.

The dashboard should look good as well as should be able to track and showcase everything accurately. The data that you are trying to track, such as the trends you are tracking or the other datasets that are vital to your business, should be clear and concise on the dashboard so that you can get the information that you need within few seconds.

Embeddability

Utilizing the data visualization software to its full potential requires the ability to integrate the reports into other compatible software. The quality and importance of the data should not be diminished when transported to other software. They should remain interactive and viable to gain proper insights for further development needs. Most open-source data visualization tools skip this feature to cut down software costs.

Interactive reporting

The data collected through the data visualization tool allows us to investigate the trends quickly and interactively present them. You should be able to filter, sort, and move variables until you find the answers you are looking for. The tool should allow you to view various reports in different formats and focus on the highlighted parts at times. To make this all happen, your business tools needs to be highly interactive.

Geotagging and location sharing

If you have a business with different locations, then you may want to look into a solution that has the geo-tracking and location sharing feature in it. Where is your data coming from? Which states or regions are using your services more actively and which needs your attention for more work. Data visualization software can set layers of data chronologically and spatially, which is essential for the business.

AI Integration

With the integration of artificial intelligence, many visualization tools have been getting smarter. The patterns can be analyzed, trends can be predicted, and action can be taken based on that. If you have a business that depends on customer trends, then the AI can predict the pattern and give you the data to increase your sales to a great length.

Conclusion

It is a big decision to choose a data visualization tool; they are expensive and play a significant role in shaping your business strategy. The tool can give you the clearest, interactive, and accurate visual reports that can help you make better business decisions and make better plans to grow your business. So, depending on what features that matters most to your business, choose a tool that can give you what you need.