Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Schedule: Design & Interfaces sessions

Data doesn’t matter if it doesn’t produce outcomes. The design track tackles user experience, experimental design, new interfaces, interactivity, and visualization.

Wednesday, February 18

9:00am–12:30pm Wednesday, 02/18/2015
Location: 210 C/G
Jonathan Dinu (Zipfian Academy)
Average rating: **...
(2.43, 7 ratings)
The best insight you produce is only as good as your ability to explain it. As data scientists and engineers, our task is not only to execute robust analyses, but also to convince decision-makers to act on data. Through an example-driven approach, attendees will examine features of great graphics, techniques of effective visualization, and learn to use D3.js to create their own data narrative. Read more.

Thursday, February 19

10:40am–11:20am Thursday, 02/19/2015
Location: LL21 E/F
Average rating: ***..
(3.71, 7 ratings)
The most frustrating part of data science is when customers don’t “get it”: endless revisions, recommendations not implemented, or data products not adopted. Exciting new research in neurology, cognitive psychology, and behavioral economics have a lot to say about why. We’ll explore the findings and implications for designing more successful “human-data interfaces.” Read more.
1:30pm–2:10pm Thursday, 02/19/2015
Location: LL21 E/F
Alonzo Canada (Interana)
Average rating: ***..
(3.89, 9 ratings)
Data products are poised to go mainstream, but only if they are designed well. Most data products are designed by developers for developers. This talk discusses methods from Stanford's D.School used by companies like Yahoo!, Samsung, and Audi to design break-out products. These principles can help developers get beyond technology and design products for everyday users. Read more.
2:20pm–3:00pm Thursday, 02/19/2015
Location: LL21 E/F
Etan Lightstone (New Relic)
Average rating: ***..
(3.60, 5 ratings)
As Director of UX Design at software analytic company New Relic, my core focus is trying to present the over 200 billion data points across more than three million applications we monitor in a way that provides meaning so customers can make good decisions for their business. Today I’ll share some of what I’ve learned along the way. Read more.
4:00pm–4:40pm Thursday, 02/19/2015
Location: LL21 E/F
Ari Gesher (Kairos Aerospace), James Thompson (Palantir Technologies)
Average rating: ****.
(4.90, 10 ratings)
From its inception, Palantir Technologies has been about integrating the best of big data technology into systems that enable subject matter experts (as opposed to data scientists or programmers) to move through huge volumes of data and do their own data analysis. Equal parts data system design and UX, we break down the design of building systems usable by mere mortals. Read more.
4:50pm–5:30pm Thursday, 02/19/2015
Location: LL21 E/F
Julia Rodriguez (Eagle Investment Systems)
Average rating: ****.
(4.57, 7 ratings)
Designing data visualizations presents us with unique and interesting challenges: how to tell a compelling story; how to deliver important information in a forthright, clear format; and how to make visualizations beautiful and engaging. In this talk, Julie will share a few disruptive designs and connect those back to vizipedia, her compiled data visualization library. Read more.

Friday, February 20

10:40am–11:20am Friday, 02/20/2015
Location: LL21 B
Tye Rattenbury (Trifacta), Jeffrey Heer (Trifacta | University of Washington)
Average rating: ****.
(4.50, 4 ratings)
The ability of software to recognize patterns in usage, data, or other inputs to improve a user’s experience & productivity is an expected attribute of modern software. Trifacta’s Jeffrey Heer and Tye Rattenbury discuss design and software architecture principles for creating intelligent software that incorporates learning to make the process of transforming data more intuitive and efficient. Read more.
11:30am–12:10pm Friday, 02/20/2015
Location: LL21 B
Danyel Fisher (Honeycomb.io), Miriah Meyer (University of Utah)
Average rating: ****.
(4.00, 3 ratings)
We lots of things "data visualization," from a news interactive, to spreadsheets, to an infographic counting calories. These surface similarities hide deep differences in what it means to interact with data. In this talk, we cross disciplines—from data science to design—to enliven our techniques and encourage us to try new methods for creating visualizations. Read more.
2:20pm–3:00pm Friday, 02/20/2015
Location: LL21 B
Eric Colson (Stitch Fix)
Average rating: ****.
(4.80, 5 ratings)
Even the most data-driven organizations still incorporate “art” into their decision-making process. Values, culture, social norms, and biases influence decisions as much as the data. This isn’t always a bad thing—data can sometimes fail to tell the whole story. And, by combining data with the intellectual assets that reside in the heads of employees we can create new capabilities. Read more.
4:00pm–4:40pm Friday, 02/20/2015
Location: LL21 B
Arianna McClain (IDEO), Coe Leta Stafford (IDEO), Kevin Ho (IDEO)
Average rating: ****.
(4.67, 6 ratings)
IDEO's Hybrid team brings all the design tools from IDEO's product design process to work with clients on data oriented projects. The team will share elements of their process and case studies to show how incorporating human-centered techniques from design can improve data as an input to decision making. Read more.