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Influence of IoT Data Visualization on Decision-Making

As people who are acquainted with the Internet of Things (IoT), or even with just modern technology, will tell you, every sensor and every connected device is brimming with data and insights about the world and our day-to-day activities. However, the raw data these devices generate tends to lie dormant, with its potential untapped and unrealized. You see, as countless devices all over the world seamlessly communicate with each other, they generate an unholy volume of data — data that holds the key to unlocking valuable insights for different businesses across the broad spectrum of industries. However, given the sheer magnitude as well as complexity of said data can understandably be quite overwhelming — at least unless you have the right tools to make sense of the data. And that is precisely where IoT data visualization steps in.

So, in this article, I will walk you through two key facets of IoT data visualization – the concept and benefits it offers to businesses.

What Refers to IoT Data Visualization?

The term refers to the process of converting the vast amounts of data generated and collected by connected IoT devices into visually digestible formats such as charts, graphs, maps, etc.

The goal of this process of transforming data is to provide a clear view of complex data, thus enabling users to identify, analyze, and interpret insights from the data that may have been otherwise difficult to differentiate from raw numbers.

Benefits of IoT Data Visualization

  • Improved decision-making: It is no secret that decision-making becomes significantly better when you have visually digestible data to work with. This is exactly what IoT data visualization does provide visual clarity and that, in turn, helps folks make informed decisions since they can quickly and better analyze information, then identify the key insights, and consequently respond quickly to developing issues or emerging trends. Oh, and this also helps them better allocate resources based on actual usage patterns, thus preventing waste and streamlining workflows.
  • Better understanding of data: Unless you are a math genius, you know that raw numbers can be quite intimidating. Thankfully, this challenge is easily dealt with visualization of data since it can help transform these big, scary numbers into a story that is comprehensible and captivating in equal measure. This is because by transforming raw data into visual elements, users can wrap their heads around the connections and relationships between different variables, observe trends over time, etc.
  • Enhanced operational efficiency: Yet another way in which IoT data visualization stands to help is by shining a spotlight on wasted resources and hidden inefficiencies. It does so by providing a real-time, visual overview of various processes and systems across a given company’s operations. This helps the people in charge to identify bottlenecks, streamline workflows, and enhance resource allocation. Suffice it to say that visualizing key performance indicators (KPIs) as well as operational metrics is conducive to proactive decision-making.
  • Real-time monitoring and analysis: With real-time monitoring and analysis through visualization, you get a live feed of what is happening now. Consequently, companies gain the ability to react swiftly to critical situations such as safety hazards, equipment malfunctions, etc. More importantly, it allows stakeholders to adapt their strategies and operations based on real-time data feedback. This translates into high levels of agility and responsiveness.

Final Words

IoT visualization of data is not simply a fancy way to look at numbers. No, sir, it is a complete overhaul of how we understand and make use of the data that we generate every single moment.

Written By

A professional and security-oriented programmer having more than 6 years of experience in designing, implementing, testing and supporting mobile apps developed. Being techno geek, I love to read & share about the latest updates in technology including but not limited to IoTs, AI, application development, etc. In my free time, I like to play football, watch movies and explore new places. I have been learning mobile app development since 2012. With having a good understanding of programming languages, I develop native as well as web apps for both iOS & Android using latest tools & technologies. I am also having experience in both front-end & back-end development.

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