Creating a Data-Driven Organization

Autorentext

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.

Klappentext

Through insightful interviews and examples from a variety of industries, Creating a Data-Driven Organization enumerates the different aspects of culture that contribute to great data-driven organizations. It will help you pause and consider, "are we really as data-driven as we could be?" By gaining valuable advice and insights from data science and analytics leaders of what worked and what didn’t, this practical book will stimulate discussion among data scientists and data analysts in companies from small startups to large corporations about what you can do to make use of data.

• Understand what it means to be data driven
• Learn the tools you need to improve data collection
• Gain a deep understanding of the analyst organization
• Get an introduction to doing data analysis
• Learn how to tell a story with data
• Understand and apply A/B testing
• Collect and analyze data while respecting privacy and ethics
• Learn about the data-driven C-suite

Zusammenfassung
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.