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Creating a Data-Driven Organization: Practical Advice from the Trenches
Contributor(s): Anderson, Carl (Author)
ISBN: 1491916915     ISBN-13: 9781491916919
Publisher: O'Reilly Media
OUR PRICE:   $40.49  
Product Type: Paperback - Other Formats
Published: September 2015
Qty:
Additional Information
BISAC Categories:
- Computers | Data Modeling & Design
- Computers | Databases - Data Warehousing
- Computers | Databases - Data Mining
Dewey: 658
LCCN: 2016303171
Physical Information: 0.8" H x 6" W x 9" (0.90 lbs) 302 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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

Contributor Bio(s): Anderson, Carl: -

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.