What is IoT Data Analytics?

The Internet of Things (IoT) is growing in adoption as we're seeing more and more devices connected to the Internet every day – with an estimated 75 billion connected devices by 2030. 

But what exactly is an IoT device? Well, it can be anything from your refrigerator to your smartphone, as long as it has sensors or software built into its core functionality. Basically, anything with an IP address or wireless connectivity can be considered an IoT device because its functionality depends on being able to "talk" via some sort of digital network with other devices nearby (or far away). 

What is the Internet of Things (IoT)?

The Internet of Things (IoT) is a network of physical devices – whether those are part of vehicles, buildings, or attached to boxes or industrial equipment – embedded with software, sensors and network connectivity that enable these objects to collect and exchange data.

The following are a few examples of IoT applications:

• Smart homes that monitor temperature, humidity levels and energy use in real time while also providing security alerts if they detect movement within a room or home entryway when no one should be there.
• Smart cities use sensors attached to streetlights so they can automatically dim when there's enough sunlight for people walking by them; this saves electricity or signals that are reactive to traffic patterns, which can help reduce greenhouse gas emissions from idling cars waiting at red lights during rush hour traffic jams.
• Smart logistics can help create an agile supply chain through granular visibility into the way assets move.

Why Should We Use IoT Data Analytics?

IoT data analytics can help your business in many ways. IoT data analytics can improve the efficiency of your business by providing insights into how it operates and where savings can be made. It also allows you to make better decisions based on the information provided by IoT devices, which will ultimately lead to improved productivity and profitability.

IoT data analytics has an even more important role in helping businesses predict future outcomes based on current trends, allowing them to plan ahead for any challenges or opportunities that may arise along the path.

IoT data analytics is a powerful tool that can be used to improve efficiency and productivity across many industries. The following use cases illustrate some of the ways in which IoT data analytics is being used today:

• Tracking and monitoring of assets in the field: A company may want to track its equipment so that it knows when parts need replacing, or can ensure that its workers are using proper safety procedures.
• Monitoring environmental factors: An agricultural company might want to know if certain weather conditions are affecting their crops or monitor soil conditions for water conservation. if there's an outbreak at an animal shelter where they house animals before they're adopted out.
• Monitoring equipment: A manufacturing plant might want to know how often machines need maintenance checks done on them so they don't break down unexpectedly during production hours (which could cause significant losses). They also might want inventory reports showing what products were made when so they know how much inventory should be kept on hand at any given time period--and whether there are any shortages coming up soon due either shortages caused by production errors or because demand has increased beyond expectations.

Capturing the Best Success with IoT

Without devices and connectivity generating reliable, useful data, your IoT solution might not capture the most useful analytics for business intelligence. To learn more about how KORE can help you deploy devices anywhere in the world and connect to the cloud for the best results, register for our upcoming webinar with Google Cloud, “Facing the New IoT Landscape with Hyperscalers.” Register now.