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, we moved one step ahead in solving a real-life IoT business use case. Using the blueprint of the problem that we defined in the previous chapter, we attempted solving the problem in a structured way guided by the problem solving framework. After having the business problem well-defined, we got our hands dirty by solving the business problem using R. We started our journey with identifying gold mines in the data for decision making, where we examined the data sources to understand what hypotheses can we prove to solve our problem. We then validated the fact that we have a good amount of data to solve the problem and studied more about the data to understand how the data can be used in our use case. After gathering a fair amount of data and domain context, we explored each dimension in the IoT ecosystem and studied what the data has to say. We performed univariate analysis and also transformed the dimensions to create more powerful and valuable dimensions. We then...