Book Image

Analytics for the Internet of Things (IoT)

By : Andrew Minteer
5 (1)
Book Image

Analytics for the Internet of Things (IoT)

5 (1)
By: Andrew Minteer

Overview of this book

We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value. By the end of the book, you’ll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Thinking about revenue opportunities


Once you have an IoT analytics platform set up, have cleaned and refined the data, used exploratory analysis and visualizations to understand it, enhanced IoT data with external datasets, applied geospatial analytics where appropriate, used data science to understand and predict, and organized your data lake for analytics efficiency; you can take a step back and think about additional revenue opportunities.

These are ones that you may not have considered before you had a deep understanding of the data. Opportunities may also simply not have been previously possible until an IoT analytics infrastructure was built.

Here are some revenue possibilities to consider:

  • Extensions to your current business processes: These ideas closely align with what you are already doing and can add additional value to your customers. It is always beneficial to think of services from the perspective of the end customer. Put yourself in their shoes and think what would save you...