Companies around the globe use IoT solutions and Business Intelligence tools to improve their processes. What if these technologies were combined? It will make sense. There are no other answers than “Yes”. We offer step-by-step instructions and a glimpse at how it all works in this article.
IoT and BI are a great combination. While IoT devices may gather valuable data in a real-world team, BI software is designed to process and visualize this information. Companies and organizations can thus enjoy the greatest value from the data they have recorded and use it efficiently to make decisions and create business plans.
Step-by-step guide for integrating BI and IoT systems
The demand for IoT app development is steadily growing by the side of companies working in many industries. It is clear that businesses of completely different types and sizes might necessary to connect these tools with Business Intelligence. Below is a plan that will help you do it.
1. Prepare a plan
First, You must define the data that should be collected, from your IoT devices. processed, and visualized. Retail shops and supermarkets might need to analyze their stock, buyer preferences, and behavior. Smart sensors can be used to enhance shelves and other trading equipment. The data collected is typically sent to one IoT platform for further processing. Managers can then access detailed reports that include all aspects of the data.
Every company must clearly plan how they will use the data received, how it can be distributed, and who will have access to it.
Also read: Top 10 IoT Cloud Platforms
2. Ensure cloud data storage
It is essential to locate a location where all data collected can be stored in order to reap the many benefits of IoT technology. Companies usually choose platforms that are provided by the best-known vendors such as Amazon (AWS), Google Cloud, or Microsoft Azure.
These services all offer tools that allow you to view the stored data in an easy-to-understand format.
3. Find an efficient way to work with IoT data
All the data that is sent to the cloud platform remains static. However, it is highly probable that you don’t want to see boring statistics and numbers. You need to find a method to train the data so it works as you want.
There are many tools today that use ML and AI technology to help them understand the received data and further present them in a convenient format. These tools will make it much easier to visualize the many numbers you receive from IoT devices.
4. Proceed to data analysis
Cloud service providers offer many analytics programs that can prepare all information so that it is ready for visualization. These tools can help you find all the information you need to make your analysis as efficient and effective as possible. These tools also have impressive analytics capabilities, which give businesses a wide range of options to understand their data.
If you don’t find the right analytics tool, Among the many options on the market are: you can always order the development of a custom solution. these will be tailored to the specific needs of your organization
5. Visualize all the data received from IoT sensors
Once you’ve prepared all the necessary data for visualization, it is time to start. It will now be possible to convert your data into a format that is useful to you, and easy to understand. This task can be made easier by business intelligence tools.
There are many BI solutions today that combine different types of visualization tools that can pull data from multiple storages in various formats and present it in a way that is easy to understand for users. You can choose to present your data in a chart, graph, table, or other formats.
Thanks to these solutions, Data interpretation takes considerably less time than when all of these processes are performed manually. That’s Why do you need to use data collected by IoT devices to make strategic decisions? We strongly recommend that you look into the possibility of connecting your IoT system to business intelligence.