Tuesday 12pm, 13 November 2018
Making Data Analytics Practical: From Research to Product
Principal Design Researcher - Honeycomb.io
I spent thirteen years at Microsoft Research exploring ways to help users interact with data, studying topics including animation, Big Data analytics, and helping users think about creating visualizations. Then I moved to Honeycomb.io, a data analytics startup dedicated to helping expert users explore their data. In this talk, I will start with an overview of some of the research work I carried out. I will then talk about Honeycomb.io, and the experience of doing data analytics design for a startup. Last, I'll talk about parts of the research experience and the design experience that are similar -- and different.
Danyel Fisher is a Principal Design Researcher for Honeycomb.io, a bay area startup dedicated to observability for distributed systems. His work focuses on ways to help users interact with data more easily. Before Honeycomb, he spent thirteen years at Microsoft Research, looking (among other things) at ways to make big data analytics faster and more interactive with incremental visualization. He is the author of the O'Reilly book "Making Data Visual" (2018), which explains how to operationalize data questions into visualizations. Danyel received his MS from UC Berkeley, and his PhD from UC Irvine.