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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 7. Prescriptive Science and Decision Making

Predictive analytics scales the power of analytics and decision making to a paramount level. We can consider our daily life as an example. If we have an answer to the 'when' question, it can help us take better decisions to secure our future. Visibility into the future makes life easy for everyone. The same holds true for problem solving in decision science. The nature of the problem can be descriptive, inquisitive, predictive, or prescriptive. Prescriptive science or Prescriptive Analytics answers the question 'So what, now what?' and aims at improving the outcome of the problem. We often ask this question after we see an issue in the routine operations.

Prescriptive analytics is a fuzzy transition from the combination of descriptive, inquisitive, and predictive analytics. The problem reaches a point where we continuously iterate through different questions either to recover from a disaster or further improve...

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