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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 6. Fast track Decision Science with IoT

Decision science differs from data science in the path of problem solving on a variety of factors. Though this can be a never-ending debate, decision science can be aligned more on the front of solving problems using a structured framework that is inquisitively driven by business questions, and data science can be defined as a more sophisticated version of data-driven analytics and modeling. Our problem solving approach is more aligned with decision science.

In Chapter 2, Studying the IoT Problem Universe and Designing a Use Case you learned in depth about an IoT business use case. We then defined the problem and designed an approach to solve it using the 'problem solving framework'. It helped us build the blueprint for the problem solving task in detail. In Chapter 3, The What and Why -Using Exploratory Decision Science for IoT we practically tried solving the problem using the approach drafted...

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