What is IoT Analytics?

29 Oct · 3 min read

It is really helpful for companies to implement IoT data analytics tools. It provides many devices that connect to the internet and provide information, enhancing the working of various business processes. Here we are sharing information about the industries which can improve their work using IoT analytics.

IoT refers to several things that connect to the internet and share data with applications, systems and other devices. Many industries use this technology to improve their work. IoT can be used to prevent failures, reduce material waste, and solve many problems in factories. Getting the service of IoT will help the companies a lot. You can avail of it in our data science consulting services.

Why are IoT analytics and the data they collect important?

IoT devices gain, process and share data by connecting via the internet. The information provided by this will be useful to gain business insights. If your business needs big production, and it is good that you use IoT devices.

The biggest challenge of IoT analytics

As the datasets from IoT devices are complex and less structured, and there are more data to collect and analyze, make sure that you need skilled IT experts to do these analytics.

What can you gain from IoT analytics?

Although it is not simple, IoT analytics is important, and the following are the reasons why.

IoT insights are useful for reducing production cost and material waste, which will increase money, resources and time.

It helps you in product development.
The data collected by IoT devices can be used to enhance the development process.
IoT data also gives you information about your customers' product usage, which will be very helpful.
It will help in learning patterns of daily usage among groups of your clients.
It also forecasts future demand for certain products.

IoT analytics tools

Deciding the software of IoT analytics depends on the aim of such programs and the tasks they perform. The hidden insights under the large amount of structured and unstructured data collected by the connected devices can be understood by IoT analytics tools.

Let us see the usage of IoT analytics software. The proper tools for IoT analytics should do the following:

Directly consuming information from sensors, IoT devices, or a time-series database.
Blending and discovery, data modelling should be done.
Producing high-quality data visualization and also reports from the same.
Allowing the users to auger up and down on the data.

Using technologies such as Machine Learning and Artificial Intelligence.
Allows the user to work with real-time and historical data.

IoT tools should be able to answer all the business questions you have.

Implementing the right software will help in the betterment of the company. Keep in mind that your new tool must have a user-friendly interface.

Some of the popular IoT analytics software providers are Microsoft Azure Stream Analytics tool, AWS IoT analytics provided by Amazon, which the users claim is the easiest platform to use for IoT analytics, and solutions of SAP or IBM. There are many options, and choosing the right one needed for your company is a challenge.

Managed services for IoT analytics: right or wrong

Since every company has its own needs, expectancies and budget, you should find the solution which suits your business needs. It is not an easy task, but it should be suitable. There are two methods to handle the IoT analytics problem:

Using the IoT analytics offered by all significant cloud players.
Or developing personalized analytics for your company and managing them internally.

And if you feel you cannot decide it alone, contact us, and we will help you find the right one. There is ample information about IoT analytics, and choosing the right one will improve and help grow your company to a more mature one. Increasing efficiency and improving products and services by not using much cost and without wastage is the main feature of IoT analytics. Contact us, and we'll help you out with your queries and needs.

IoTAIMachineLearning

written by