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

Conclusion

Advanced analytics has come of age, as one company after another realizes the competitive necessity of the technology. General Electric, for example, has recognized that advanced analytics will be the foundation for converting a giant of the Industrial Age into a formidable competitor in the Information Age. Indeed, the company’s development of its Predix platform, with a mission of imbuing analytics in the offerings and operation of every GE business unit, is a significant bet and should cause all other businesses to take note.

In this chapter, we outlined many of the common analytical approaches and tools used by data scientists. To be sure, these technologies require specialist skills to master, but the approaches and techniques described are nothing but modern tools to achieve improved business performance.

Just as previous companies hired machinists and skilled trades people, you will hire data scientists, analysts, and very clever employees who will...