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Analytics for the Internet of Things (IoT)

You're reading from   Analytics for the Internet of Things (IoT) Intelligent analytics for your intelligent devices

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Length 378 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Minteer Andrew Minteer
Author Profile Icon Andrew Minteer
Andrew Minteer
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Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges 2. IoT Devices and Networking Protocols FREE CHAPTER 3. IoT Analytics for the Cloud 4. Creating an AWS Cloud Analytics Environment 5. Collecting All That Data - Strategies and Techniques 6. Getting to Know Your Data - Exploring IoT Data 7. Decorating Your Data - Adding External Datasets to Innovate 8. Communicating with Others - Visualization and Dashboarding 9. Applying Geospatial Analytics to IoT Data 10. Data Science for IoT Analytics 11. Strategies to Organize Data for Analytics 12. The Economics of IoT Analytics 13. Bringing It All Together

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...
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