Creating a Data-Driven Organization

What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.

Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential.

• Start from the bottom up: learn how to collect the right data the right way
• Hire analysts with the right skills, and organize them into teams
• Examine statistical and visualization tools, and fact-based story-telling methods
• Collect and analyze data while respecting privacy and ethics
• Understand how analysts and their managers can help spur a data-driven culture
• Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

Table of Contents

Chapter 1. What Do We Mean by Data-Driven?

Chapter 2. Data Quality

Chapter 3. Data Collection

Chapter 4. The Analyst Organization

Chapter 5. Data Analysis

Chapter 6. Metric Design

Chapter 7. Storytelling with Data

Chapter 8. A/B Testing

Chapter 9. Decision Making

Chapter 10. Data -Driven Culture

Chapter 11 . The Data -Driven C-Suite

Chapter 12. Privacy, Ethics, and Risk

Chapter 13. Conclusion

About the Author

Carl Anderson is the Director of Data Science at Warby Parker in New York overseeing data engineering, data science, supporting the broader analystics org, and creating a data-driven organization. He has had a broad-ranging career, mostly in scientific computing, covering areas such as healthcare modeling, data compression, robotics, and agent based modeling. He holds a Ph.D. in mathematical biology from the University of Sheffield, UK.