Assorted talks on designing analytical tools and communities for enterprise

workflow
rmarkdown
rstats
A variety of related talks to creating innersource culture with R packages and related tools
Published

November 1, 2017

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.