Hearing more about IoT data collection platforms lately? It is not an isolated occurrence or phenomena by all means. IoT sensor data collection is the procedure where these sensors help in tracking the latest conditions of various physical objects. Technologies and devices linked through IoT (Internet of Things) can measure and track data on a real-time basis. This data is then transmitted and stored securely before being retrieved whenever required. This is all done through the right collection platform which will help in using data in the future and coming up with actionable insights for helping businesses in various fields.Several types of IoT DataData collection and analysis in IoT is not just about capturing any data. There are various types of data that you should note. Here’s taking a look at the same:

• Equipment-based data- One of the major data types flowing into IoT data collection platforms, this type helps with detecting faults in real-time, runtime-based scheduling and seamless predictive maintenance as well. This enhances savings on energy-linked costs while helping scale up overall productivity and extending the life of all equipment. Equipment-based data may be centralized in a single platform, making sure that vendors, management and on-site staff members remain in sync. This also ensures the rollup of data into executive dashboards.
• Environmental data- Another vital data type witnessed throughout the process of data collection in IoT, sensors here track various streams of information. This is garnered from buildings and includes flow of people, air quality, temperature, movement and moisture. These datasets are majorly tapped for ensuring the highest comfort for occupants of buildings while avoiding any disastrous scenarios like flooding or leakages.
• Submeter data- There are digital submetering gadgets that are linked to the internet and they help in automation of the utility submetering procedure. This helps in lowering errors and bill generation alike. Submetering ensures greater transparency for all portfolio owners with regard to their cash outlays and recovery rates.
• Status data- Status data is the foundational component for a majority of IoT-based applications. It represents basic information garnered, i.e. whether any appliance is switched on or off, whether any property has any spots available and so on. This data helps in taking decisions regarding maintenance and planning.
• Location-based data- Tracking any individual or object movement is a vital function carried out by IoT sensors and devices. Connected systems make use of location-based data for managing fleets, tracking assets, monitoring employees and other management-related activities. IoT may ensure higher processing speeds for data and greater precision as compared to GPS. This is why motion sensors are used by businesses and offices in place of GPS-based trackers.
• Automation data- This data helps in creating connections between devices in the home, moving parts of any other system and vehicles via IoT-based systems. Automation data processing is a complex mechanism.
• Actionable data- These datasets are basically extensions of what we know as status-based data. They help in insight capturing along with processing, predictions, forecasting, energy consumption and workplace efficiency optimization and also decision making for the long term.

With the right, several businesses will benefit and this includes sectors like healthcare, smart homes, transportation, agriculture, energy and manufacturing. In fact, there could be a whopping 41.6 billion connected devices in the IoT ecosystem by the year 2025 as per several estimates. Commercial building materials, automotive and industrial segments will have the highest share of connected devices although smart home adoption will pick up along with overall feasibility of wearable devices.IoT has helped businesses to hugely widen their data range and the real estate industry has also benefited from the same. This technology is now enabling greater optimization of building/structural performance throughout retail outlets, residential units, commercial spaces, institutions and offices. IoT helps in lowering consumption of energy, tracking the amount that is spent by any property. Operators naturally gain more awareness on how to lower energy consumption levels with these technologies. Air quality levels are also tracked for creating a more positive environment for all tenants and also enhancing overall productivity of employees. Equipment performance is considerably maximized since IoT-based data collection is a foundation for predictive maintenance. This naturally goes a long way towards lowering the chances of sudden breakdowns of equipment. The biggest benefits come from the insights which often translate into unexpected and considerably high savings on costs.