In this day and age, more than ever, we are constantly surrounded by data, but learning how to best extract actionable insights is a difficult task to accomplish. Data engineers are asked to serve many of an organization’s data needs, but they are usually underfunded and overwhelmed with the choices in front of them.
This talk is geared towards teams that are looking to jumpstart or improve their data efforts with a set of principles and best practices that can help guide their decisions. The speaker, Jaime Villalpando Luken, is basing the talk on his experiences working at big tech companies with big data problems at the PB scale, as well as the grassroots efforts to transform an organization’s culture into a truly data-driven one. Jaime’s goal is to help organizations of all sizes take concrete steps that will better prepare them to extract meaningful data insights in a repeatable way.
I learned about parts of user experience journey that I didn’t understand before, so now I really know what mistakes I can avoid and what steps I shouldn’t miss.
It was a fun environment and it seemed like we were just learning about UX design and hanging out with friends.