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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

Chapter 3. The What and Why - Using Exploratory Decision Science for IoT

Problems in any given scenario always keep evolving and so does the solution. The hypotheses that we define while solving the problem will refine with new findings, which will then change the approach partially or completely. Hence, we need to keep our problem solving approach very agile. The problems we solve are often interconnected in nature; a big problem is often composed as a network of multiple smaller problems. These smaller problems can germinate from completely disparate domains, so we would need to accommodate diversity in our approach. Also, the solution can have different approaches based on the problem's scenario. The approach could be top-down, bottom-up, or hybrid; therefore, our solutions need to be flexible. Lastly, the problem can inflate to a mammoth size, thus our solutions need to be scalable.

In this chapter, we will solve the business problem that we defined in Chapter 2, Studying...

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