Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Design, User Experience, & Visualization conference sessions

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

Tuesday, September 29

9:00am–12:30pm Tuesday, 09/29/2015
Location: 3D 06/07 Level: Intermediate
Brian Suda (optional.is)
Average rating: ****.
(4.29, 7 ratings)
The term data vizualization can mean anything from charts and graphs to infographics to big data and everything in between. In this tutorial, we’ll look at the basics of how to design with data, specifically using the industry standard D3 library. By the end, you'll be able to create data vizualizations with your own data sets. Read more.

Wednesday, September 30

11:20am–12:00pm Wednesday, 09/30/2015
Location: 3D 03/10 Level: Non-technical
Richard Brath (Uncharted Software), Rob Harper (Uncharted)
Average rating: ****.
(4.31, 13 ratings)
Direct visual exploratory analysis of big data yields insights that are otherwise overlooked. By plotting all the data, patterns that can be obscured by traditional visualization methods are preserved. This presentation highlights the power of visualizing whole data sets through examining a market order book and identifying pricing strategies. Read more.
1:15pm–1:55pm Wednesday, 09/30/2015
Location: 3D 03/10 Level: Non-technical
Alex Kelly (General Motors), Kim Le (General Motors)
Average rating: ***..
(3.00, 3 ratings)
This session will demonstrate how data enables people to overcome their disabilities and live to their fullest. We will also point out critical underlying flaws of data interpretation (due to human bias), and offer action items for us to make the data world more inclusive, efficient, and connected. Read more.
2:05pm–2:45pm Wednesday, 09/30/2015
Location: 3D 03/10
Alan Hannaway (7digital)
Average rating: ***..
(3.50, 6 ratings)
7digital power a variety of music services with a diverse range of territories, devices and access models. They have been helping services transform the listening experience through visualising their data. Paul will demonstrate visualisations on listening bounce rate and content classification, giving examples of how these creative solutions to conveying information have helped engage people... Read more.
2:55pm–3:35pm Wednesday, 09/30/2015
Location: 3D 03/10 Level: Non-technical
Tags: geospatial
Andrew Hill (Textile)
Average rating: ****.
(4.80, 5 ratings)
You no longer need to be a remote sensing specialist to leverage real-time geospatial data from space. You don't need to be an expert to harvest social media on the cheap. Geospatial data analysis is a mixing pot that brings together your private data and streams of data from all over. We will talk about how we are bringing this mixing pot together for the future of understanding data. Read more.
4:35pm–5:15pm Wednesday, 09/30/2015
Location: 3D 03/10
Moderated by:
Sean Power (Watching Websites)
Panelists:
Joy Johnson (AudioCommon), Mike Rosenthal (Mick Management), Rishi Malhotra (Saavn)
Average rating: ****.
(4.00, 2 ratings)
This panel brings together founders and technologists who live on the cutting edge of music science. We’ll look at the “Turing problems” of digital entertainment, as well as how providers strike a balance between human curation and machine optimization. Read more.
5:25pm–6:05pm Wednesday, 09/30/2015
Location: 3D 03/10
Hugh McGrory (datavized)
Average rating: **...
(2.89, 9 ratings)
Data is all science, no art. Think of a film that inspired or moved you. Now imagine the filmmaker decided that instead of making the film, they would present the material to you in the form of a graph or a chart. That’s where we are with data. Read more.

Thursday, October 1

11:20am–12:00pm Thursday, 10/01/2015
Location: 3D 03/10 Level: Non-technical
Jeffrey Heer (Trifacta | University of Washington), Jock Mackinlay (Tableau)
Average rating: ****.
(4.17, 12 ratings)
The talk will focus on considerations for designing data visualizations for data profiling required in data preparation; and considerations for designing data visualizations for later exploratory analysis and consumption phases of the overall analysis process. Read more.
1:15pm–1:55pm Thursday, 10/01/2015
Location: 3D 03/10 Level: Non-technical
Tags: featured
Michael Freeman (University of Washington)
Average rating: ****.
(4.61, 23 ratings)
Data-driven decision-making can only be properly executed when the decision makers understand both the underlying data, and the types of manipulations that have been applied to it. In this session, we’ll explore what exactly we "do" to data (aggregation, "cleaning," statistical modeling, machine learning), and how to visually communicate about the processes and implications of our work. Read more.
2:05pm–2:45pm Thursday, 10/01/2015
Location: 3D 03/10 Level: Non-technical
Margit Zwemer (LiquidLandscape)
Average rating: ***..
(3.40, 5 ratings)
Linked Immersive Visualization Environments (LIVE) is a framework that my startup, LiquidLandscape, has developed for combining multiple, high-volume data visualizations (d3, WebGL, WebVR) to provide comprehensive situational awareness for financial markets. We will discuss architecture and design challenges of visualizing real-time data at speed and scale, with lots of visual examples. Read more.
2:55pm–3:35pm Thursday, 10/01/2015
Location: 3D 03/10 Level: Non-technical
Peter Olson (IDEO), David Boardman (IDEO)
Average rating: ****.
(4.33, 6 ratings)
The experience of data extends beyond capturing, storing, and presenting it. Data can help shape customer journeys through products, change the way organizations communicate, and be either a source of confusion or tool for communication. This talk will focus on how design thinking can be applied to data, and how data design can be applied to a wide array of consumer and organizational experiences. Read more.
4:35pm–5:15pm Thursday, 10/01/2015
Location: 3D 03/10 Level: Non-technical
Pamela Pavliscak (SoundingBox)
Average rating: ***..
(3.40, 5 ratings)
Our understanding of happiness is becoming more nuanced, and much of that new knowledge relies on data from social media, quantified self apps, and large datasets. This session will look at the lessons we can learn from happiness data to design positive experiences with technology. Read more.