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How to Utilize IoT Data Visualization for Enhanced Analytics Insights

It's fair to say that the Internet of Things (IoT) has changed everything. For businesses in particular, the IOT has had big implications.


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There are now as many as 13 billion devices connected to the IoT. A world in which all devices can exchange data freely opens the door for a whole range of smart solutions. But of course, if you're getting so much data, you also want to utilize it. 

To provide the best data-driven insights, data needs to be accessible to all teams. But what's the answer? In this article, we'll be focusing on IoT data visualization. We'll help you to understand this solution, and why it can be so useful to your business.

So, without any delay, let's get started!

What is IOT data visualization?


Data visualization is a common solution for data-driven businesses. When you're working with lots of data, confusion can easily arise. Data analysts might have a clear idea of what's going on. But the challenge is communicating this knowledge to the rest of the team. Tables filled with numbers won't get you very far. People tend to switch off and not take information in.

With the IoT, you're working with lots of devices which all exchange data. There are a huge amount of benefits to this. For example, better integration supports better mobile app development, especially if used alongside tools like (a Heroku alternative).

But working with so much information can be difficult to take in. Your teams are overwhelmed, and they simply can't make the most of the data they have.

Data visualizations allow insights to be shared without overloading the recipient. Done well,  they can help to support data storytelling. Visualizations take many different forms, from graphs to pie charts (and many examples in between). The best types of visualization help employees contextualize data and see how it applies to them.

What is a data visualization tool?

A visualization tool provides you with the means to create visualizations. The best tools allow the creation of visuals at the click of a button. A user simply has to input their data. They can choose the visualization they want, be it a graph, chart, or table.

Data visualization tools are used by most organizations that work with data. They help users spot patterns, and add additional context to trends. They can help make data more accessible to the general team.

The good news is that there are a variety of programs for visualization. For the best results, your chosen visualization tool should include some of the following features.

  • Customization - Static visualizations have limited usefulness. To get to the core message of data, it can be useful to tailor visualizations. Your chosen tool should contain features that enable you to present visualizations in the best possible way. 
  • Speed and performance - When you're working with multiple websites, you'd use a WebOps platform to guarantee speed and access. Similarly, when you're working within the IoT, you want access to data as soon as possible. The best tools provide quick access to visualizations, enabling quick decision-making.
  • Data exploration - The IoT involves working with so much data that it's easy to miss important insights. Data visualization tools allow you to dig deeper, and spot patterns that you might have missed.
  • AI integration - Artificial intelligence (AI) is helping us to get even more from the IoT. In the same way, it can help us to better understand our IoT data. It's best to choose a visualization tool that offers AI-powered features. Tools like machine learning provide even deeper insights from your visualizations.

IoT data visualization best practices

Even with the right visualization tool, it's easy to overlook important steps. If you're not careful, you might not get the most accurate data-driven insights. With that in mind, let's look at some best practices for IoT data visualization.

Customize your dashboard


As mentioned, every effective IoT visualization tool should offer customization. Your dashboard is the number one stop for customization. It's the hub from which your core work will be carried out. If you tailor your dashboard correctly, you can get quick access to the most important visualizations. This enables quicker data-driven decision-making.

Other areas of your dashboard that might need customization include:

  • Setting up alerts - Obviously, you can't always keep an eye on your data. There'll be times when key events occur and you aren't there to see them. Be sure to set an alert so that you're notified. For example, you might set an alert for hitting a certain goal. 
  • Pick the right visualizations - As we reflected, the dashboard is your hub. Consider not only the insights you need but the best visual for delivering them. You should also think about your use of color and how you position visuals. 
  • Control access - Remember, you won't want every employee to have access to your data. Ensure you add permissions to your dashboard so that only the right people have access.

Draw attention to important data

The goal of visualizations is to make data more accessible and digestible. But too often, the opposite effect is achieved. Visualizations are too cluttered, and viewers aren't sure where to focus. Instead of bringing clarity, you just end up confusing stakeholders.

Let's go back to the topic of data storytelling. How can your visualizations help to support a story that viewers can understand? The answer is to draw attention to the most important aspects of your data. This might mean using visual queues, for example by highlighting certain areas to draw attention.

You should also consider how you can minimize distractions. Are you using too much text? Does your visualization contain too many different colors? By taking a laser-focused approach, you can create better visualizations to support decision-making.

Highlighting key data points and using visual cues effectively can not only improve data understanding but also increase conversions in your business strategies.

Remember to experiment

When dealing with visualizations, it's always tempting to rush. You want to get to grips with your cached data, and don't want to be left waiting. But there's no denying this is a mistake. After all, the first visualization you choose might not necessarily be the best option. 

Instead of rushing, take some time to experiment with different widgets. Consider the message that you're trying to convey. Which visualization helps share the information most clearly? By taking a little longer to find the right visualization, you'll provide better insights.

Always visualize

The IoT represents an exciting opportunity for businesses. But having access to so much data can be difficult. Using tools like OpenLegacy data integration solutions is a good first step. You can only properly make use of this transformative data, however, if you understand it. That's why IoT data visualization is so important.

So, take time to find the perfect visualization tool. Then consider some of the tips outlined in this document. With the right approach to data, you can truly begin to take advantage of everything the IoT has to offer.


Published Monday, August 14, 2023 7:30 AM by David Marshall
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