Book Image

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

By : Jojo Moolayil
Book Image

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

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 (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

Summary


In this chapter, you learned about the IoT problem universe by exploring Connected Operations and Connected Assets in detail. You also learned how to design a business use case for IoT using a concrete example to understand the detergent manufacturing problem in detail and design a blueprint for the problem using the problem solving framework.

This was accomplished by designing the SCQ and understanding how to get started with defining the problem holistically. We also studied about identifying the associated and latent problems and finally explored how to design HDH for the problem.

In the next chapter, we will solve a business use case with a dataset using R. All the context and research gathered in this chapter while defining the problem and designing it will be used to solve the use case step by step.