Accelerate your thinking.
Discover how self-service analytics can help you compete and win.
Scheduled release in September 2018
Foreword by Boris Evelson, Vice President and Principal Analyst, Forrester Research, Inc.
very organization today is under intense pressure to create value. In fact, the digital revolution is fundamentally changing the world as we know it—from how consumers interact and behave to how business gets done. And it’s forcing organizations to transform the way they work. That’s why business leaders consistently turn to analytics. They need actionable insight to innovate, differentiate, and compete. But it’s no longer enough to simply sell more, spend less, and work smarter. Business has to do it with unprecedented speed and agility. Business leaders need to think fast!
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SARGO SEEPANA SINDHWANI
He's done it again. In his unique style, Steffine has simplified yet another complex topic into a must-read guide for busy business and IT pros. Packed with insight and highly recommended.
Inside the Book
The objective of self-service analytics is to create value from data by leveraging the intellectual capital and untapped curiosity of the enterprise.
In this sequel to my award-winning book, Hyper, I team up with other experienced pros to deliver an essential, quick-read guide on the most important aspects of people, process, technology, and data you need to think about in order to deliver real value.
Packed with pragmatic advice from years of hands-on field work, Think Fast! provides the insight you need to compete and win with self-service analytics.
“Take Your BI Environment To The Next Level By Building A System of Insight”
by Boris Evelson, Vice President and Principal Analyst
Forrester Research, Inc.
Section 1 – Understanding Self-Service Analytics
Insight 1 – Value Attainment
Insight 2 – Agile BI
Insight 3 – Defining Analytics
Insight 4 – Describing Self-Service
Section 2 – The People Domain
Insight 5 – Organizational Alignment
Insight 6 – The Organizational Model
Insight 7 – The Importance of Collaboration
Insight 8 – The Right Team
Insight 9 – The Right Support
Section 3 – The Process Domain
Insight 10 – Setting Priorities
Insight 11 – Balancing Risk and Reward
Insight 12 – Building Requirements That Work
Insight 13 – Evaluate and Evolve
Insight 14 – Sell the Vision
Insight 15 – Control the Chaos
Section 4 – The Technology Domain
Insight 16 – The Role of Technology
Insight 17 – The Self-Service Architecture
Insight 18 – The Place for Big Data
Insight 19 – The Crowded Analytics Landscape
Section 5 – The Data Domain
Insight 20 – Understanding Data
Insight 21 – Preparing Data
Insight 22 – Data On the Edge
Insight 23 – Understanding Data Science
Insight 24 – Data Privacy
Section 6 – Closing Thoughts
Insight 25 – Planning and Execution
Insight 26 – Change is Inevitable