Real-time IoT data visualization is crucial for businesses that are leveraging the power of IoT to transform their productivity and analytics. The sensors in your factories collect a vast stream of live, raw data. It is only through IoT data visualization that this raw data can be converted into actionable insights that will help you make the right business decisions.
In this article, we will dive into what exactly IoT data visualization is, its benefits, popular techniques, the role of emerging technologies on the future of IoT data visualization, and why dashboard customization is so significant.
IoT Data Visualization: What it is and Why It Is Important?
The true value of IoT data for your business can only be unlocked with the right IoT data visualization platforms and techniques.
IoT data visualization is the process of transforming vast amounts of data collected by IoT devices into clear and actionable displays like a dashboard, graphs, charts, and maps.
Without data visualization, it would be near impossible for all stakeholders to monitor their asset performance, identify issues before they happen, and improve operational efficiency. The analysis of these complex datasets helps business leaders make the right business decisions that are backed by real-time data.
Benefits of IoT Data Visualization
Here is what businesses across industries stand to gain from a well-implemented IoT data visualization platform.
Improved Understanding of Real-Time Data
The raw data collected by a variety of IoT devices are transformed into real-time insights, leading to a thorough understanding of real-time data by all stakeholders.
Real-time Monitoring of Asset Data for Better Decision Making
Imagine many sensors collecting data on numerous factors across your factory floor. With an IoT dashboard, you will get to monitor changes and fluctuations in real-time. This helps managers identify potential issues and bottlenecks before they happen and take proactive action to minimize business disruptions.
Predictive Analytics and Forecasting Based on Trends and Patterns
IoT dashboards can glean a wealth of insights from analysis of historical data. Machine learning algorithms can identify patterns and trends based on historical data to facilitate accurate predictive analytics and insights. This helps businesses plan and take proactive, data-driven decisions for their businesses.
Popular Techniques of IoT Data Visualization
Techniques of data visualization should match your individual requirements as a company. Here are a few of the most popular techniques of IoT data visualization leveraged today.
- Heatmaps: This technique represents the density of data on a map or a grid. This is ideal for geographic data representation and allows stakeholders to identify patterns and trends across locations in real-time.
- Gauge Charts: Guage charts display a specific value within a pre-set range in real-time. This could be used for parameters like pressure, temperature, battery data or system health.
- Interactive IoT Dashboards: An interactive IoT dashboard allows stakeholders to monitor and assess data insights based on a wide variety of pre-set metrics and track all of them simultaneously. It gives you a very comprehensive overview of your operations and the variables within them.
- Geographic Information Systems (GIS): These systems integrate IoT device data with geographic locations to give you a real-time visualization of data. This is particularly useful for the logistics, environmental monitoring, and healthcare industries.
- Scatter Plots: Scatter plots are used to depict the correlation between two variables. This is indispensable for businesses that want to identify correlations between parameters or variables.
Role of Emerging Technologies in IoT Data Visualization
The rise of edge computing has decreased latency and increased the speed of analysis and delivery of insights. Especially in industries that need enhanced automation and immediate decision-making, edge computing has proven to be invaluable.
Integrations with AI and Machine Learning
The integration of AI with Machine Learning has proven to be a game changer in how businesses analyze data. AI and ML algorithms can identify patterns from extremely complex data sets much faster than humans can. The increased integration of AI and ML has led to the rise of predictive maintenance and predictive analytics that can identify potential issues before they happen. The rise of digital twin simulations is also a significant development that enables businesses to simulate scenarios before taking a business decision.
Why Customization of Dashboards is Crucial?
At the end of the day, your IoT visualization platform and IoT dashboards must be tailored to your specific needs to get the maximum benefit out of it. The ability to personalize your dashboard based on your business metrics, KPIs, and business objectives is no longer a luxury, but an absolute necessity. A flexible IoT dashboard gives you enhanced clarity, improves usability for all stakeholders, and ensures that relevant information is available for all stakeholders at the right time.
Find the Right IoT Visualization Partner?
Bridgera’s IoT visualization tools and dashboards are fully tailored to the needs of each client. Our white-label IoT solution can also give you predictive maintenance and analytics capabilities, digital twin simulations, and much more.
Contact one of our experts for a quick consultation today! It is free and we do not spam you either.
Stay ahead of the IoT visualization game with Bridgera’s expertise across industries like OEMs, oil and gas, healthcare, and logistics.
About Bridgera: Bridgera effortlessly combines innovation and expertise to deliver cutting-edge solutions using connected intelligence. We engineer experiences that go beyond expectations, equipping our clients with the tools they need to excel in an increasingly interconnected world. Since our establishment in 2015, Bridgera, headquartered in Raleigh, NC, has specialized in crafting and managing tailored SaaS solutions for web, mobile, and IoT applications across North America.
About Author: Krishna Varma is a writer and researcher, who enjoys writing about technology, IoT, and lifestyle. When she isn’t writing and reading, you’ll find her relaxing with a quiet cup of tea over the weekends.
