Training: June 20–21, 2016
Tutorials: June 21, 2016
Keynotes & Sessions: June 22–23, 2016
Santa Clara, CA

Prioritizing site performance improvements

Michelle Carrizosa (SOASTA), Iris Lieuw (Akamai)
2:10pm–2:50pm Thursday, 06/23/2016
Infrastructure reimagined
Location: Ballroom AB Level: Beginner
Average rating: ***..
(3.00, 1 rating)

Prerequisite knowledge

Attendees should have a basic understanding of real user monitoring.


Michelle Carrizosa and Iris Lieuw demonstrate how to prioritize improvements across your ecommerce site by analyzing RUM data to determine which of your pages are the most important to optimize and then looking at resource timing data to understand what affects those pages the most. Along the way, Michelle and Iris dive into useful techniques like conversion impact and resource and page load time correlation as well as visualizations like hierarchical treemaps using D3.

Photo of Michelle Carrizosa

Michelle Carrizosa


Michelle Carrizosa is a data scientist at SOASTA, where she creates interactive data visualizations using Julia together with the JavaScript libraries C3, D3, and D3Plus and develops Julia tutorials and automatically generated documentation of SOASTA’s functions. Michelle graduated with a BS in general mathematics from California Polytechnic University, San Luis Obispo, where she researched the Gale-Shapley stable marriage problem and studied statistical programming with R. In her spare time, she plays tennis, practices yoga, snowboards, and fishes in the Sierra Nevada mountains.

Photo of Iris Lieuw

Iris Lieuw


Iris Lieuw is a data scientist at Akamai. In her daily work, Iris develops for the Data Science Workbench, which helps clients analyze their site’s perf data and create meaningful visualizations they can extract insights from. In her free time, she likes to rock climb, cook, knit, and calligraph.