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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges FREE CHAPTER 2. IoT Devices and Networking Protocols 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

Business value concerns

Many companies are struggling to find value with IoT data. The costs to store, process, and analyze IoT data can grow quickly. With future financial returns uncertain, some companies are questioning if it is worth the investment.

According to McKinsey & Company, a consulting agency, most IoT data is not used. From their research, less than 1% of data generated by an oil platform was used for decision-making purposes.

Finding value with IoT analytics is often like finding a diamond in a mountain of rubble. We can accept that 1% of the data has value, but which 1% is it? This can vary depending on the question. One man's worthless granite is another man's priceless diamond.

The business value challenge is how to keep costs low while increasing the ability to create superior financial returns. Analytics is a great way to get there.

You have been reading a chapter from
Analytics for the Internet of Things (IoT)
Published in: Jul 2017
Publisher: Packt
ISBN-13: 9781787120730
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