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Analytics: How to Win with Intelligence

Analytics: How to Win with Intelligence

By : John Thompson, Shawn P. Rogers
4.7 (19)
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Analytics: How to Win with Intelligence

Analytics: How to Win with Intelligence

4.7 (19)
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)
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1
Foreword by Tom Davenport

CHAPTER 5
Analytics Takes a Village: Building and Enabling the Right Team

“Be short in speech and restrained in action.”
– Marcus Aurelius

Cisco is a well-known leader in the field of networking, technology, and enterprise solutions. The company is also a cutting-edge organization in the use of advanced analytics, having recently established its Center for Predictive Analytics and Decision Science. The center is run by Robert Lake, a senior data scientist who’s a vocal proponent of building a learning culture that’s diverse and technically skilled but focused on solving business problems. Lake’s team of a dozen people comprises a mix of men and women, experienced staff members and recent graduates, who are adept at using a variety of languages and tools, including R, Python, Statistica, and other commercial as well as open source software.

Such technological expertise notwithstanding, the team’s focus is on addressing business...

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Analytics: How to Win with Intelligence
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