Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Managing data science in the enterprise

John Akred (Silicon Valley Data Science), Heather Nelson (Silicon Valley Data Science)
1:30pm5:00pm Tuesday, September 26, 2017
Data-driven business management, Strata Business Summit
Location: 1E 11 Level: Intermediate
Average rating: ****.
(4.50, 2 ratings)

Who is this presentation for?

  • Managers and executives interested in building data science as an organizational competency

Prerequisite knowledge

  • A basic understanding of what data science is and a desire to use it to make better business decisions

What you'll learn

  • Understand how to build, run, and get the most value from data science teams and how to work with and plan for the needs of the business

Description

Organizing around data is a concern for the whole business. The myth of the Lone Ranger data scientist is very much that. Effectively leveraging data requires cross-functional collaboration, organizational adaptation, and an organizational understanding of what using data to create business value entails.

John Akred and Heather Nelson share methods and observations from three years of effectively deploying data science in enterprise organizations. You’ll learn how to build, run, and get the most value from data science teams and how to work with and plan for the needs of the business.

Topics include:

  • Data science in the enterprise
  • Building a data-driven culture
  • Organizational concerns for data science
  • Data science techniques
  • Methods for running a data science project
  • Hiring and managing data scientists
  • Tools and platforms
  • Deploying data science: From the lab to the factory
  • Data science maturity models
Photo of John Akred

John Akred

Silicon Valley Data Science

With over 15 years in advanced analytical applications and architecture, John Akred is dedicated to helping organizations become more data driven. As CTO of Silicon Valley Data Science, John combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.

Photo of Heather Nelson

Heather Nelson

Silicon Valley Data Science

Heather Nelson is a senior solution architect at Silicon Valley Data Science, where she draws from her diverse background in business and technology consulting to find the best solutions for her clients’ toughest data problems. A problem solver by nature, Heather is passionate about helping organizations leverage data to drive competitive advantage.