SXSW PANEL: How Beautiful Tools Make Sense of Complex Data

This post is a follow up to our previous three posts on our SXSW Interactive panel series. Umbel is hosting a full day of panels on big data from 11AM – 4:30PM on Friday, March 13 with a line-up of global experts who’ll be discussing data insights, best practices, success stories and the very latest in big data technologies. Panels are open to all SXSW Interactive badge holders.

PANEL 4: How Beautiful Tools Make Sense of Complex Data
Friday, March 13, 3:30PM-4:30PM at ACL Live at The Moody Theater

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Panel Overview

Big Data analytics and insights are transforming how companies drive business and growth. Yet many employees are clueless about how to even get started with big data. The key to democratizing data across an entire organization so all teams can utilize it, is to make data insights more understandable. For ultimate data literacy and actionability, beautiful, simple and interactive data visualization platforms are absolutely necessary. Industry experts discuss how visual customer data platforms allow anyone to understand and act on the data, ultimately uncovering unknown opportunities and driving ROI.


Francois Xavier Fringant, Co-Founder, Dataveyes 

Francois Xavier Fringant is co-founder of Dataveyes, a Paris based company focusing on Human-Data interactions. Dataveyes translates data into interactive experiences, in order to share relevant narratives and support user needs. The company’s core competencies relate to data-driven strategies, information and interaction design, as well as data visualization.

Gloria Lau, VP of Data, Timeful

Gloria has over a decade of experience in data science and research. Most recently, she was the head of the core data science team at LinkedIn, focusing on standardizing user data and building recommendation products to drive relevant content for LinkedIn users. She has an MS and PhD from Stanford, and a BS from UCLA.

Naomi Robbins, Principal, NBR

Naomi B. Robbins is the author of Creating More Effective Graphs, published by Chart House (originally published by John Wiley and Sons.) She has spoken on graphs to numerous universities, professional societies, corporations, non-profits, government agencies and organizations such as the United Nations and UNESCO.

Kevin Safford, Senior Data Scientist, Umbel

Published non-linear and statistical physicist with an interest in big data analytics. Strong background in research and deep knowledge of mathematics and statistics with a focus in non-linear stochastic processes, probability models, Markov processes, and dynamic systems