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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

Using a layered approach and test control methods to outlive business disasters


Prescriptive science results from the convergence of descriptive, inquisitive, and predictive analytics. It is used as a layered approach and iterated till the time we reach a promising solution. To understand the concept lucidly, let's simplify it by reconstructing the abstract and ambiguous words in a layman's way.

What is prescriptive analytics?

Prescriptive analytics helps us answer the question 'So what, now what' in the problem solving exercise, that is, it helps us improve the outcome. It is the final layer in the problem solving stack that results from the convergence of the previous three types: descriptive + inquisitive + predictive.

We'll consider a very simple example to study this in more detail. Consider a telecom giant (say AT&T, Verizon, and so on) who provides multiple services such as broadband connections, IPTV, mobile telephone connections, and so on The director of the Customer Experience...

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