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

Ecosystem challenges

The forces of this perfect storm – maturing users, new technologies, decreasing cost barriers, and abundant data – are causing companies to reassess their approaches to analytics. The smarter firms have been finding new ways to drive revenue and serve customers. Now that we understand the why and how of this new approach to data and analytics, we need to take a step back and consider the various challenges therein.

As the data that companies use becomes increasingly diverse and more widely distributed, executives must manage and control that new environment with respect to security, service level agreements (SLAs), global and regional laws concerning data and analytics, and compliance and regulatory issues. In addition, firms will also face challenges managing a distributed and increasingly complex analytic environment. Early on, most companies were leveraging only a handful of algorithms to drive their business. Now, it’s common for them...