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.

Join Our
Data Analytics
Newsletter

Expect to hear from us about once a month.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
THere's More

Post You Might Also Like

All Posts
Strategy

5 Factors to Move Your Data and Analytics From Laggard to Leader

The past few years have seen a rapid rise in data analytics throughout industries. Business opportunities and technological innovations continue to raise the bar on the subject, allowing even smaller businesses with limited resources to get into the BI game.
Strategy

6 Steps to Make Your Metrics More Meaningful

If you don't know what to measure, you cannot gain any insight from it. Worse, if you measure the wrong things, your conclusions may actually lead you down a path that can negatively impact business performance.
Change Management

How Analytics Will Change Your Organization: Part 1

Analytics is everywhere. In this article, we look at the many ways in which analytics is changing the face of modern industry.
Change Management

How Analytics Will Change Your Organization: Part 2

Measure. understand, Decide. Any tool is useless without both a purpose and a skilled user. We will be examining abundance, scarcity, and data accessibility in analytics, and how analytics improves an organization’s ability to measure, understand, and make decisions based on data.
Change Management

How Analytics Will Change Your Organization: Part 3

Capabilities in concert. In this third and final installment, we look at how the capabilities of analytics can be used together in the data-informed decision-making process.