The Internet of Things (IoT) is a system of connected devices equipped with sensors that detect, measure, and send data to a processing center. The technology allows monitoring data in real time to offer businesses valuable insights that help to reduce operations costs, save time, and optimize usage. The impact reaches diverse industries such as the internet of things in healthcare, retail, manufacturing, and entertainment.
Are you wondering how IoT data are collected, processed, and analyzed? This article is for you. Read on to find out how companies collect and integrate data with the help of IoT technology.
Internal sensors collect data from devices such as smart appliances, smart TVs, security systems, wearable health-tracking devices, and more. Other sources of data are commercial devices such as traffic monitoring devices, business security systems, weather tracking systems, and others. The sensors gather and transmit data to a location where it’s saved and can be retrieved at any time.
Here are some examples of data collected by IoT devices:
- Location data – location data works like GPS, only indoors. Rather than directing users to a specific destination, location data helps to track packages, equipment, and pallets in real time. For example, IoT implementations help farmers track their equipment during harvest to optimize its use. Consumers can use location data to track a lost phone or keys.
- Status data – this is the most basic type of IoT data. Most such devices generate status data which are collected as raw data and then used by software implementation for more sophisticated analysis.
- Automation data – device automation is an attractive feature of IoT devices such as automated lighting or thermostat settings.
Processing IoT data
To transform raw data into valuable information, businesses need to process it. Since data comes from different devices and in various formats, it’s important to standardize data, ensure that the format is compatible with the application, store data securely or create backups, and filter out data you don’t need to improve accuracy.
By applying data analysis tools to the data IoT devices generate, companies can extract valuable information to optimize business processes, improve procedures, and learn which steps to take for specific situations.
Collecting and integrating data is more accessible with the help of a well-designed data orchestration platform. If you’re planning to set up an IoT system for your business, pay extra attention to how you’re going t collect and integrate all the data coming from IoT devices.