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Smarter Decisions - The Intersection of Internet of Things and Decision Science

You're reading from   Smarter Decisions - The Intersection of Internet of Things and Decision Science A comprehensive guide for solving IoT business problems using decision science

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Length 392 pages
Edition 1st Edition
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Author (1):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
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Table of Contents (10) Chapters Close

Preface 1. IoT and Decision Science FREE CHAPTER 2. Studying the IoT Problem Universe and Designing a Use Case 3. The What and Why - Using Exploratory Decision Science for IoT 4. Experimenting Predictive Analytics for IoT 5. Enhancing Predictive Analytics with Machine Learning for IoT 6. Fast track Decision Science with IoT 7. Prescriptive Science and Decision Making 8. Disruptions in IoT 9. A Promising Future with IoT

Summary

In this chapter, you learned about the IoT problem universe by exploring Connected Operations and Connected Assets in detail. You also learned how to design a business use case for IoT using a concrete example to understand the detergent manufacturing problem in detail and design a blueprint for the problem using the problem solving framework.

This was accomplished by designing the SCQ and understanding how to get started with defining the problem holistically. We also studied about identifying the associated and latent problems and finally explored how to design HDH for the problem.

In the next chapter, we will solve a business use case with a dataset using R. All the context and research gathered in this chapter while defining the problem and designing it will be used to solve the use case step by step.

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