Book Image

Analytics: How to Win with Intelligence

By : John Thompson, Shawn P. Rogers
Book Image

Analytics: How to Win with Intelligence

By: John Thompson, Shawn P. Rogers

Overview of this book

Today, business is moving into an era where information is more valuable than services. Organizations that connect information with their products will have a huge advantage. This book helps people understand the power of data analytics and explains how some of the tools available can be applied to a wide range of applications. It begins with a brief history of analytics and explains how it all began. You'll learn about several common analytical approaches and the tools that data scientists use to analyze data. You'll gain insight into some staffing models, technologies, organizational structures, and analytical approaches used in the previous two eras of analytics. As you progress through the chapters, you'll also get a glimpse into the future of the analytical marketplace. After reading this book, you will be able to help your team deploy analytical elements into your operations and become competitive in your business.
Table of Contents (11 chapters)
Free Chapter
1
Foreword by Tom Davenport

A new era

Thanks to impressive computer advances, we are now seeing the dawn of a new era of human productivity enhancement. We have, for example, automated much of the work in farming and can now produce substantially more food on less land with significantly less labor. And if employed in a smart, thoughtful manner, advanced analytics in the agricultural industry can lessen the negative impact on the earth and environment while producing healthier food. But we still need farmers, although certainly a smaller number on an overall and per capita basis.

We have also automated manufacturing. We now produce a mind-boggling range of products from motor vehicles to toys with less labor, decreased pollution, and lower cost, yet also with greater flexibility and efficiency. We still, however, need factory floor teams and require human operators for much of the machinery.

Furthermore, we have automated much white-collar labor. Administrative assistants, operational planners, business...