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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

Defining the problem and designing the approach


To define the business problem, we'll use the SCQ framework that we used in Chapter 2, Studying the IoT Problem Universe and Designing a Use Case. It will help us clearly define the current situation, complications, and key question. After defining the problem, we'll research, ideate, and brainstorm to design the approach for the problem.

Building the SCQ: Situation - Complication - Question

With the SCQ, we have clearly defined the problem by detailing the situation, complications, and questions that need answers along with the 'resolution'.

To design the approach in more detail, we will need to research and ideate a lot of things related to the domain. Moreover, we will need access to an SME who can provide us with insights about how the internal system works in a location where the infrastructure is deployed.

Research

To study the problem in detail, we need to study the dynamics of the problem better. We need to study how solar panel setups...

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