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The Internet of Things (IoT) has experienced exponential growth over the last few years. It is predicted that the number of connected objects will go beyond 75 billion by 2025. All these IoT products will be producing data in huge quantities. In this article, we will learn how to collect and process this IoT data.

Before we talk about how to process the collected data, the process starts with analyzing the right type of data.

What Information Should Be Gathered

These IoT apps and products are meant to collect data in a wide range. However, to make that collection useful, one needs to know what type of data should be collected and how much data should be collected.

When developing an IoT app, a longer-term view is a must. It is almost impossible to add new sensors to an already deployed IoT solution.
One cannot also ignore the possibility that physical constraints can indeed limit us during data collection.

But, that doesn’t mean one should collect too much data, because too much data can have a high cost and can cause connectivity problems. Besides, the high volume of data exchange can increase energy consumption.

It is all about choosing the right type of data. So, before you process anything and overload your database with useless data, you should understand that the challenge is collecting the right data.

What Kind of Data Should Be Generated and Collected

We already know that these IoT apps and products generate data in abundance. Experts from Cisco say that this data will be measured in zettabytes (billions of terabytes) annually in the coming years. The challenge is not only the volume of data but also the storage of the same. It is, therefore, necessary to have adequate memory space and enough energy budget. As a consequence, it is also necessary to acquire computing power, which, once again, increases the blow. Hence, the volume of data that an IoT solution will provide is a very serious matter. And, this has to be taken into account from the initial phase of design. To ensure this, a balance must be found between potential needs and material capabilities.

How Should This Collected Data Be Used

After all the struggle we have done to collect and organize data, the next challenge is how to manage it intelligently. The data is confronted with several risks before being recovered, such as failure of a sensor, interruption of the transmission, etc. It is, therefore, necessary to prepare the data before being able to use it. Only after organizing it properly, you will be able to apply the right algorithms to make it deliver valuable results. Without expert IoT developers capable of using such algorithms, it will be impossible to derive any benefit from the collected data. Two types of analysis are generally carried out using data from IoT solutions:
  • Business intelligence analyses, make it possible to study the current functioning of the system.
  • Machine learning analyses, make it possible to make predictions and anticipations.

The data from the IoT gives a real competitive advantage to the companies that have it. But obtaining and using them is not easy; it requires real thought and real expertise. By applying artificial intelligence to data, we can discover new possible uses.

With the data analysis reports, businesses will be able to develop new services for their customers. In general, IoT data is a great help in reducing costs, improving profits, and creating new opportunities for companies that have it. This is why we at BainsLabs recommend hiring expert IoT developers.

BainsLabs IoT developers/consultants are ready to help you set up your IoT projects according to your needs and capabilities and get the most out of them. Contact us and we will help you find and implement solutions that meet your industrial problems.

Being one of the best IoT Companies in Canada, our IoT developers are helping startups, SMEs, and enterprises looking for IoT solutions. If you need support to execute your project, you can contact us.