Top 3 Internet of Things (IoT) Analytics Features of BI Tools

Post by 
Philip Lima
Reading time: 2 min

(This is a multipart series about how to evaluate and select the right BI tool for you and your team. To see the entire outline of the series and a framework for how to evaluate a BI tool, see How to Select the Best BI Tool for You.)

Like shopping for a car or a new electronic device, there are likely a lot of features that the average Jane won’t need. We aim to cover the breadth of features that the top tools and analysts in the market are talking about.

It’s important to focus on what’s right for you and your use case. We recommend buyers be careful to not let features creep onto their “Want to have” or “Mission critical” lists when doing your research. It can be really easy to learn about a cool feature and then think about all the cool and creative ways you could use it. Curiosity and creativity is to be human.

Remember: You started shopping to fill a specific need. Keep that front and center as you research while getting educated on other cool features and how you may use them after your initial set of requirements are delivered.


We don’t typically see IoT requirements coming from a BI tool evaluation since they are usually such specific use cases that most team purchase a highly specialized tool for the job. But it is a feature that BI tools support and may be a requirement at part of your BI suite.

If you’re in the market, here are the top IoT analytics features of BI tools to consider as part of your evaluation.

1. Edge Analytics

The solution enables processing and analysis of IoT data at the edge, close to its point of generation, without having to move it to a centralized location. It complements edge computing by enabling analytics at the moment data is being generated.

2. Internet of Things (IoT) Analytics

The solution enables exploring and analyzing huge volumes of data generated by the connected Internet of Things (IoT) devices such as sensors on manufacturing equipment, pipelines, weather stations, smart meters, delivery trucks, etc.

3. Streaming Analytics

The solution enables real-time and continuous analysis of time-based data as it is being created, before it is stored, and even at the instant it is streaming from one device to another. It is also known by terms like Complex Event Processing (CEP) or Events Stream Processing (ESP).


Follow the links above to read more about core functional requirements of a BI and analytics tool.

Did we miss something? Drop us a line and we’ll see about getting it added.

Need help with your BI tool selection? Book a call with us and we’ll see if we can help. If we can point you in the right direction with a short phone call, great! If you’d like to hire us to do an evaluation and selection for you, contact us and we’ll make a selection together.

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