Chapter 6. Fast track Decision Science with IoT
Decision science differs from data science in the path of problem solving on a variety of factors. Though this can be a never-ending debate, decision science can be aligned more on the front of solving problems using a structured framework that is inquisitively driven by business questions, and data science can be defined as a more sophisticated version of data-driven analytics and modeling. Our problem solving approach is more aligned with decision science.
In Chapter 2, Studying the IoT Problem Universe and Designing a Use Case you learned in depth about an IoT business use case. We then defined the problem and designed an approach to solve it using the 'problem solving framework'. It helped us build the blueprint for the problem solving task in detail. In Chapter 3, The What and Why -Using Exploratory Decision Science for IoT we practically tried solving the problem using the approach drafted...
