Book Image

Principles of Strategic Data Science

By : Peter Prevos
Book Image

Principles of Strategic Data Science

By: Peter Prevos

Overview of this book

Mathematics and computer science form an integral part of data science, and understanding them is crucial for efficiently managing data. This book is designed to take you through the entire data science pipeline and help you join the dots between mathematics, programming, and business analysis. You’ll start by learning what data science is and how organizations can use it to revolutionize the way they use their data. The book then covers the criteria for the soundness of data products and demonstrates how to effectively visualize information. As you progress, you’ll discover the strategic aspects of data science by exploring the five-phase framework that enables you to enhance the value you extract from data. Toward the concluding chapters, you’ll understand the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data.
Table of Contents (6 chapters)

Prescribing Action

The last step in the continuum is where machines take over our world, and human beings can relax and be served by their robot slaves. This vision might seem science fiction, but automated processes have been part of our lives for many decades.

Industrial systems need to be controlled by operators to ensure that they produce the outcomes we need. When, for example, a tank of chemicals reaches a certain low level, a pump needs to be started to fill it again, and the operator needs to monitor the tank. Manual systems require a human operator to review measurements of the state of the system and take appropriate action. The first level of automation uses a control loop to measure the level of the tank and an automated valve.

Almost all contemporary manufacturing processes use these first-generation control loops. The problem with these systems is that they rely on preset conditions that might not be suitable when external circumstances change. Traditional control systems measure...