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

Packaging our results


Let's quickly package our findings and learnings as a solution for John's team. We'll have a quick recap for the entire problem solving journey for the detergent quality use case.

A quick recap

It all started when the manufacturing plant for a giant consumer goods company located in Pune, India faced heavy losses in business due to frequent bad quality detergent being manufactured. John, the operational head, reached out to us to check whether we could help him find out the reasons for the bad quality detergent manufactured. We used the art of problem solving and studied in detail the dynamics of the problem. We spent quality time understanding the problem and then defined the problem using a very famous industry artefact, SCQ.

After defining the problem, we brainstormed on the different factors and designed various hypotheses that could help us in solving the problem. We designed the high-level yet exhaustive solution/blueprint for the problem using a structured framework...