What’s IoT Data Visualization. Best Practices. Examples

What Is Data Visualization

  • What goal do you want to achieve?
  • How do you see satisfying results after you use data visualization?
  • What charts do you consider the most valuable in achieving your goal?
  • Do you need real-time data updates?

Welcome To Data-Driven Area

To examine the term “data-driven area” from all sides we divide this chapter into three parts:

  • After the Internet spread but before the Internet of Things appears
  • After the Internet of Things appeared

Before the Internet appears

Data visualization has been around for a long time. For example, you can analyze companies’ expenses for the previous month using a pie chart to understand the share of every expense category.

After the Internet spread but before the Internet of Things appears

After the Internet of Things appeared

Here the real data-driven area begins. The IoT network brought machine-to-machine communication that generates an incredible amount of data that cannot be processed or even stored using traditional methods. To process such massive data sets IoT uses Big Data methods, NoSQL solutions, cloud computing, and fog analytics (you can learn more about IoT architecture and fog computing in the whitepaper). IoT data visualization comes in handy here because there are no other options for people to analyze the data from IoT devices.

IoT Dashboard As a Tool For IoT Data Visualization

  • The visual data is constantly updated in real-time. Where “in real-time” means low latency which is extremely valuable for IoT applications.

IoT Data Visualization: Best Practices

#1 Customize Dashboard to Your Need

A dashboard is a set of widgets that display some information that you consider to be meaningful for your business. So make sure that the widgets solve business challenges instead of just displaying condensed information from IoT sensors.

#2 Enable Adjustment

We have mentioned that visual data on a dashboard should be updated in real-time. An additional step here is to enable the adjusting of some parameters in real-time from a dashboard. Yes, the control option is not a function of a dashboard, but you probably will have some IoT management system behind the visual display. Interactive visualization is a very helpful tool for an analyst who can not only observe, but make some quick decisions and implement them.

#3 Don’t Ignore Filtering and Sorting Options

Dealing with data involves data formatting like resizing, filtering, sorting, and data exporting. These functions are necessary.

#4 Emphasize the Data

#5 Experiment With WIdgets

Most dashboards contain numerous tools and widgets for various cases! Don’t be afraid to experiment with them and discover what sets bring better results. There are dozens of widgets at your disposal: scatterplots, interactive maps, bar charts, pie charts, line graphs, tables, timelines, and much more.

#6 Build Dashboard From The Question Perspective

What decisions and conclusions are expected to be made after analyzing the dashboards results? A good dashboard should give clues to answer this or other similar questions. The visualization should be created in such a way it will give you a response to your questions or help to find an answer.

#7 Keep Visuals Simple

Good visualization is that which allows you to quickly grasp a high-level overview of data without the necessity to dive deep into analytics. Separate semantic blocks by white spacing. Do not use a large number of different colors, try to keep the dashboard in the same color scheme. Define the notification rules strictly so that the important alert will not be lost under a bunch of other less important messages.

#8 Make Visual Labels Digestible

Why To Use IoT Data Visualization

The main reason why you should use IoT data visualization is that there are literally no other options for a human being to analyze such an enormous volume of data that comes from an IoT system. Besides that, IoT data visualization is an important part of the whole IoT system with its benefits like predictive maintenance, reducing operational costs, higher productivity, and much more. Instead of describing its benefits, we provide 5 examples of how this technology is used in different industries.

Examples of Data Visualization In IoT

World’s Air Pollution. Real-time Air Quality Index

Agriculture Living Laboratory: WHIN innovation network

Arla Foods: Transparent Delivery From a Farm to a Fridge

Grundfos: Quick and Informed Manufacturer

Dashboards and Data Visualization in a Highly Technology Company

IoT Data Visualization Dashboard from SumatoSoft

Afterward

As for keeping up with the advent of technology, the world looks for new opportunities to analyze the data that is generated in enormous volumes by computers and new technologies. We entered the data-driven area, and with the arrival of the Internet of Things systems and machine-to-machine communication traditional methods became unfit even for data storing and processing. The IoT industry faced a new challenge: processing and analyzing massive flows of data.

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