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Smarter Decisions - The Intersection of Internet of Things and Decision Science

Smarter Decisions - The Intersection of Internet of Things and Decision Science

By : Jojo Moolayil
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Smarter Decisions - The Intersection of Internet of Things and Decision Science

Smarter Decisions - The Intersection of Internet of Things and Decision Science

5 (1)
By: Jojo Moolayil

Overview of this book

With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you’ll have an understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it
Table of Contents (10 chapters)
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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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Smarter Decisions - The Intersection of Internet of Things and Decision Science
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