Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Lessons on driving data science and analytics transformation

Chris Chapo (Gap Inc.)
1:50pm2:30pm Thursday, March 8, 2018
Average rating: ****.
(4.20, 5 ratings)

Who is this presentation for?

  • VPs and directors of data science and analytics and C-level executives

Prerequisite knowledge

  • Experience leading data science and analytics organizations directly or within your organization

What you'll learn

  • Explore real-world examples of how companies are driving transformational change by leveraging data science and analytics


Most companies view data science and analytics as critical to fueling a new wave of growth. However, many of the current success stories in this space come from those for whom a data-driven culture was part of their original, founding DNA. The practical reality is that many established companies struggle to figure out the best way to drive transformational change using data science and analytics.

Chris Chapo walks you through real-world examples of companies that are driving transformational change by leveraging data science and analytics, paying particular attention to established organizations where these capabilities are newer concepts.

Topics include:

  • Use cases from established companies that have seen success in leveraging data science and analytics to drive growth
  • How to position data science and analytics teams for maximum impact in the organization
  • Core competencies required in successful data teams
  • Technology and data platforms that enable rapid development for data science and analytics professionals
Photo of Chris Chapo

Chris Chapo

Gap Inc.

Chris Chapo is vice president of customer data and analytics within the customer and strategy team at Gap Inc., where he helps the company increase its ability to best take advantage of quantitative information about customers and ensures all brands take a data-driven approach in transforming the company to be customer obsessed. Chris has extensive experience building data science organizations, teams, and platforms and applying statistical and analytic rigor to a variety of functions, including marketing, customer experience, loyalty, and customer service and support. Previously, he led data teams for a wide variety of companies, including Apple, Intuit, JCPenney, and Enjoy.