Assorted talks on designing analytical tools and communities for enterprise


Date
Jan 1, 2018 11:00 AM
Location
O’Reilly Strata NYC 2018 | data.world Afternoon of Data 2019 | etc.
New York City, NY

What’s in Your Workflow?: Reproducible Business Analysis at Capital One
Domino Data Pop-Up, Chicago 2017

 

 

InnerSource for reproducible and extensible business analysis
O’Reilly Strata Data Conference, NYC 2018

Designing Empathetic, Empowering, and Engaging Internal Tools
IDEASS, Chicago 2018

Building an Innersource Culture for Data Analysis
data.world Afternoon of Data, Chicago 2019

While every data analysis produces unique insights, the analysis process consists of many standard processes and building blocks. This talk explores what data analysts in an organization can learn from open source to collaboratively create a reproducible analytical infrastructure. Based on lessons learned at Capital One, we will discuss the motivations for cultivating an innersource culture, practical advice on designing and developing internal analytical tools, and strategies for helping data analysts evolve from passive users to active contributors.

Avatar
Emily Riederer
Senior Analytics Manager

Interested in reproducible research, causal inference, and feature engineering