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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

Product type Book
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Pages 392 pages
Edition 1st Edition
Languages
Author (1):
Jojo Moolayil Jojo Moolayil
Profile icon Jojo Moolayil

Table of Contents (15) Chapters

Smarter Decisions – The Intersection of Internet of Things and Decision Science
Credits
About the Author
About the Reviewer
eBooks, discount offers, and more
Preface
1. IoT and Decision Science 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

Implementing the solution


The final step in our problem solving journey is to implement the solution. We discussed about the implementation that would roll out immediately as per our plan; that is, developing a solution where the agent will be notified in real time whether a customer will repeat the call in the next 48 hours. To make the solution more actionable, we can design an association rule table that will calculate the association between different call reasons (categories). This will come in handy when the agent is notified that the customer will repeat in the next 48 hours for a different call reason. The association rule table can then be leveraged by the agent to understand the most probable reason for the repeat call and then take additional steps to mitigate the chances of a repeat.

Once we have all the previous steps in place, implementing the solution is just following the steps we designed as a part of our journey, that is, solving a business use case end-to-end. When we finish...

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