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Data Visualization
Summit
Influence Decisions With Data Visualization
April 28 & 29, 2015
San Jose Convention Center, San Jose
Confirmed Speakers
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Senior Data Visualization Engineer, Netflix
Data Visualization Engineer, Facebook
Computer Scientist, NASA
Data Scientist, Pinterest
Head of HR Systems & Data Analytics, Tesla Motors
Director, Creative Design, MIT
Engineering Manager, Pinterest
Data Visualization Developer, National Heritage Academies
Director, Social Media Research Society
Senior Designer, Data Visualization, Microsoft Office
Data Visualization Specialist, New York City Economic Development Corporation
Data Visualization Engineer, The New York Times
Data Viz Evangelist, Caterpillar
Data Visualization Engineer, Logitech
Data Visualization Fellow, Center for International Development at Harvard
Data Visualization Guru, Veterans Transformation Center
Data & Visualization Specialist, WWF
Director, Software Engineering, Pacific Biosciences
Experience Architect, Salesforce
Manager, Data Labs, Stitch Fix
Vice President, BI & Market Insights, Western Union
BI Developer, HomeAway
Lead HR Analyst, Tesla Motors
Data Viz Engineer, Capital One
Senior Manager, BI Engineering, Groupon
F TI L
Who Will You Meet?
There is no question that IE. provides the
gold standard event within Data
Visualization, helping you connect with
decision makers. You will be meeting senior
level executives from major corporations
and innovative small to medium size
companies.
Company Size Of Attendees
1000+ Employees
300-999 Employees
50-299 Employees
Less than 49 Employees
56%
81%
Job Title Of Attendees
78%
Attendees are at Director
level or above
3%
21%
President
/Principal
SVP/VP
12%
C-Level
42%
Snr. Director
/Director
25%
Attendees are
companies with at
least 300
employees
13%
Global Head
/ Head
8%
Snr. Manager
/Manager
11%
8%
Academic (1%)
Previous Delegates Include
Architecht - Nokia
• Senior
Senior
Data Scientist - Nasa
• Lead Data
Analyst - Google
• Director, Advanced
Analytics - Nike
•
SVP
Research
NBC
Universal
• Director, Data Visualization
- Yahoo!
•
F TI L
About The Summit
Data visualization greatly enhances not only
data comprehension, but it allows for a greater
coverage of trends and patterns within
structured & unstructured data.
The Data Visualization Summit brings together
leaders and experts in the field to explain and
clarify the numerous benefits of using data
visualization. One of the top benefits is that
data becomes easier to understand, more
accessible and presented in a format that helps
people better interact with the data as well as
analyze it.
Typically data is used for mining and reporting,
h ow ev e r t h e r e a r e n ew s e t s of d a t a
visualization tools that can take your analysis
to a whole new level. This has made it possible
to quickly understand trends, patterns, and
outliers that would not have been noticed with
traditional tools.
The Data Visualization Summit will run
concurrently with the Big Data Innovation
Summit to provide fantastic networking
opportunities.
Confirmed Speaker Information
Krishna Grade & Chunyan Wang
Data Scientist & Engineering Manager
Pinterest
Krishna Gade is the engineering manager for the data
team at Pinterest. His team builds core data
infrastructure to enable data driven products and
insights for Pinterest. They also get to work on some of
the cutting edge big data technologies like Kafka,
Hadoop, Storm, Redshift etc. Before Pinterest, Krishna
lead the data infrastructure team at Twitter where he
worked on distributed caching and stream processing.
Scalable A/B experiments at Pinterest
A/B Experiment is a form of randomized test that many
companies use to make data driven decisions. At
Pinterest, we have hundreds of A/B experiments running
at the same time each day for the launch of new product
features, and also improving quality and user
engagements. In this talk, we describe how we built a
scalable system to process and visualize A/B experiment
metrics. We designed the framework in such a way that it
is extensible and generic enough to support different
kinds of cohort/segmented analysis, and at the same
time to scale for large amounts of data generated by
ever increasing number of experiments, users and
metrics to track. We will also cover some of the
challenges we faced in building and deploying this
system to production.
Chunyan Wang is a Software Engineer of the data team at
Pinterest. He is mostly working on big data analytics and
data infrastructure. Before Pinterest, Chunyan earned his
PhD from Stanford.
Boryana Dineva
Head of HR Operations & Data Analytics
Tesla Motors
Boryana Dineva is leading the HR Analytics, HR Information Systems and HR Operation teams at Tesla. With a
degree in economics from UC Berkeley, Boryana drove an innovative organizational design at Tesla that
converges data warehousing, systems and data structures, predictive analytics, and the art of data
presentation into an operational powerhouse. She was instrumental in building an analytics team at Tesla
that has emerged as a proactive consulting force providing invaluable and actionable data to scale the
company. The team has revolutionized the way the HR organization positions itself within the business by
unleashing the power of people data.
Confirmed Speaker Information
Charlie Guthrie
Data Visualization Engineer
The New York Times
Charlie Guthrie is a data scientist and data visualization
engineer. His work focuses on how best to communicate
data science insights through visualization. At the New
York Times, he has been building and maintaining up-todate dashboard visualizations for tracking key business
performance indicators and real-time audience behavior.
Prior to the New York Times, Charlie was on the data
science team at Dstillery, a targeted online advertising
firm. A former school teacher, Charlie has always
enjoyed the challenge of explaining difficult concepts. He
is a former office ping pong champion, rock climber, and
avid ultimate frisbee and soccer player.
Romain Vuillemot
Data Visualization Fellow
Center for International Dev. at Harvard
Romain Vuillemot is a Research Fellow at Harvard
University. He leads the Research and Development team
of T h e At l a s of E co n o m i c Co m p l ex i t y ( h t t p : //
atlas.cid.harvard.edu) at the Center for International
Development there. Romain designs novel interactive
visualizations for specific application domains such as
macro-economics or soccer. He is also interested in more
fundamental research on dynamic and streaming data
representation. In parallel Romain, strives to make
visualization more accessible and casual for diverse
audiences. Romain holds a PhD in Computer Science from
INSA (Lyon, France) and was a post-doc in the AVIZ group
at INRIA (Paris, France) before joining Harvard.
Evan Roberts
Senior Data Visualization Engineer
Logitech
Evan Roberts leads the visualization team within BI and
the Tableau COE. His work spans company wide, working
with multiple teams on raising the level of visualization in
Logitech. In addition to creating dashboard solutions for
departments, his team heads global training on the tools
and concepts of visualization. Before starting the
visualization team, Evan managed worldwide market
analytics for the PC gaming division at Logitech.
Skip the Meeting, Use a Dashboard
Too often, communicating analytics is a tedious and timeconsuming process, involving manually-prepared reports
and weekly status meetings where few new insights are
gained. We can free up analyst resources, however, by
providing simple tools to empower the decision-makers to
answer their questions themselves. In his talk, Charlie will
share his experience in improving this process with
customized visualizations and automated, interactive
dashboards. The talk will focus on recommendations on
dashboard design - noting that dashboards are not
always appropriate - and keeping in mind Ben
Shneiderman’s mantra: “Overview first, zoom and filter,
then details-on-demand”. The Atlas of Economic Complexity
In this talk, I will present The Atlas of Economic Complexity
(http://atlas.cid.harvard.edu/), a powerful interactive tool
that enables economists, policymakers and citizens to
visualize a country’s total trade, track how these dynamics
change over time and explore growth opportunities for
more than a hundred countries worldwide. The Atlas
features tree maps, stacked graphs and node-links
diagrams, among cutting edge visualizations and
interactions. The Atlas is also a research platform for
economists as well as visualization researchers. This talk
will address both design and technical challenges coming
when building and maintaining a visualization platform
for the masses, at the web scale.
Moving Users from Spreadsheets to
Dashboards
Over the last two years, Logitech has gone through a
transformation of how we leverage and utilize our data to
make business decisions. We have moved from a world
of spreadsheets and tabular reports to a large Tableau
user group and dedicated visualization team. During this
process, much has been learned from our failures and
successes about key components needed to raise the
visualization ability within an organization. Let us share
our learning about how to start the process of moving an
organization towards the next level of visualization.
Confirmed Speaker Information
Josh Rood
Data Visualization Engineer
National Heritage Academies
Josh Rood is a mathematician turned visualizer working
in education data at National Heritage Academies. At
National Heritage Academies, he focuses on making
testing data accessible for teachers and school leaders
through D3.js and Tableau. The core of his visualizations
are driving quick and clear understanding and leading to
thorough investigation just underneath the surface.
Marc Knuth
Data Visualization Evangelist
Caterpillar
Marc Knuth, Data Visualization Evangelist, leads the Data
Visualization team within the Information Analytics group
at Caterpillar Inc. In this role, Marc works with a diverse
group of global business partners throughout the
Enterprise advocating and teaching visualization best
practices and techniques, as well as designing and
implementing dashboard solutions. His passion lies in
delivering complex concepts in a simplified manner by
taking advantage of “human factors” in his data
visualization designs. When not trying to visualize
everything data-related, Marc enjoys spending his time as
a runner, scuba diver and world traveler.
Elijah Meeks
Senior Data Visualization Engineer
Netflix
Elijah Meeks is a senior data visualization engineer at
Netflix where he develops data visualization for internally
facing applications. He is the author of D3.js in Action and
was the technical lead on a variety of interactive scholarly
works such as ORBIS (orbis.stanford.edu) and Kindred
Britain (kindred.stanford.edu). His work in data
visualization has included representing complex networks,
geospatial data, algorithms and text.
Necessary Uncertainty: Visual Display of
Error in Education
Education is a data rich environment, but not rich enough.
Measuring the learning state and progress of 50,000
students efficiently requires imprecision. However, the
display of numbers or visualizations imply precise
certainty. In the world of education, data visualization
requires teachers and school leaders to understand and
carry out action. Teachers take their knowledge of the
students they teach, compare it to the data visualization
and take action. It is vital to the data visualization’s
relationship with the teacher that the confidence of its
representation matches the confidence of the visual.
Building a Road to Data Visualization
Imagine having only five minutes to make a decision after
receiving a report in the form of a massive spreadsheet,
requiring you to sift through rows and rows of data to find
the information you need. This isn’t uncommon for
decision makers at any level in a company who are
expected to drive business growth. Marc will share how he
combined data visualization techniques that focus on how
people see data with awareness and training campaigns
to transform Caterpillar's traditional approach to
presenting information.
Beyond Line and Pie Charts: Practical
Applications of Complex Data Viz
While data visualization has grown in popularity, most of
the business application still favors two kinds: charts
familiar to everyone (such as pie charts or line charts) or
map-based geospatial information visualization. While
data viz tools and libraries provide access to more exotic
methods, it can be hard to deploy them outside specific
domains. This talk will focus on hierarchical data
visualization and network visualization and will highlight
the strengths and weaknesses of these methods,
techniques for gently introducing these methods to
potential stakeholders, and best practices for integrating
them into data driven applications.
Kazuki Sakamoto
Data Visualization Specialist
New York Economic Development Corporation
Kazuki Sakamoto explores geographic data to inform
policy decisions. He is an assistant vice president at the
New York City Economic Development Corporation,
working on data visualization and spatial analysis. His
portfolio includes Hurricane Sandy related resiliency redevelopment efforts, affordable housing initiatives, and
Universal Pre-K rollout in NYC. Prior to joining NYCEDC,
Kazuki received his MS from Columbia University, where
he is now an adjunct assistant professor in the Urban
Studies program. Cory Jez
BI Developer
HomeAway
Cory is an energetic Business Intelligence developer who
has spent his career evangelizing Tableau Software. He
has worked in a variety of roles, including consulting,
training, and freelance work in the BI field. He currently
works with HomeAway in Austin, Texas, and when he isn’t
busy building dashboards at work, he uses them to
dominate fantasy football leagues everywhere.
Mapping 311 Graffiti Complaints in NYC
New York City residents have access to non-emergency
government services through the 311 program. The New
York City Economic Development Corporation (NYCEDC)
in conjunction with the New York City Department of
Sanitation (DSNY) responds to individual 311 graffiti
complaints. NYCEDC routes the 311 complaints, sends
notices to property owners and then sends crews to clean
the graffiti. In the office, geographic information systems
add spatial analysis to inform policy makers involved with
the program. Interactive mapping tools make it is possible
to visualize where complaints have occurred over time.
The tool allows the program to be more efficient,
organizes the data to be easily accessible, and spurs
discourse about the spatial patterns that were previously
hidden. Interactive maps are indispensable storytelling
tools, they explore spatial phenomena and empower the
NYCEDC to better understand and respond to future 311
graffiti complaints.
Data Viz Gone Wrong: What NOT to do
We all know that data is becoming increasingly more
important in our everyday lives. We are seeing more
visualization every day: at work, in the media, and even on
our phones! Unfortunately, not everyone who visualizes
their data does so effectively – or even correctly. This
discussion will focus on two types of visualizations:
Those that do not effectively get their message across to
users
Those that potentially mislead their users
Of course, we won’t spend all our time screaming and
shouting, we will also discuss visualization best practices
and talk about how we can avoid these errors in our own
work.
Daniel Oostra
Computer Scientist
NASA
Daniel Oostra is a computer scientist working as a web
developer and technical lead for the MY NASA DATA
Project (http://mynasadata.larc.nasa.gov). Daniel also
leads development on a number of data rich applications
for the Committee on Earth Observing Satellites and the
Earth Systems, Technology and Energy Education for
MUREP project. Daniel’s team takes NASA data and
creates visualizations, lessons, activities, and other
materials for students, educators and citizen scientists. When not trapped behind his laptop, Daniel plays guitar,
creates mobile apps, snowboards and spends time with
his six-year old son playing Minecraft.
Curating Satellite Data for Students,
Educators, and Citizen Scientists
Data visualization hinges on one key aspect: its relevance
to our users. Our audiences are desperate for data that
speaks to their needs and supports their research. NASA
has hundreds of thousands of gigabytes of data that are
accessible, in theory, but how easy is it for the average
person to navigate the varying interfaces, formats and ftp
sites? The MY NASA DATA project is focused on finding
relevant data within NASA’s data centers and curating
this data into a usable format for students, teachers, and
citizen scientists to use within their explorations. How do
we empower our audiences with simple, easy to use tools
that level the playing field with research scientists? During this session we’ll examine the processes we are
using to connect users to data, through the use of
transformative processes and next generation tools
that allow users to extract real meaning from researchgrade data. Elias Fayad
Director, Software Engineering
Pacific Biosciences
Elias Fayad is leading a team of software engineers
developing all things related to customer facing software
for Pacific Biosciences' Single Molecule Real Time
(SMRT™) DNA sequencing platform: user experience,
device control, data acquisition & interchange, and
visualization. With degrees in Computer Engineering and
Biomedical Engineering, Elias has been involved in
software development, data mining and visualization
projects for almost 20 years, from financial and
insurance fraud detection, to genome variant calling,
instrument control, and field performance trending.
Carrie Stengel
Data Visualization Specialist
World Wildlife Fund
Carrie Stengel is a Data Visualization Specialist at the
World Wildlife Fund who turns data into arguments for
change. Prior to joining WWF Carrie worked on wildlife
trade issues with the NGO TRAFFIC. Her background is in
conservation, with a BA in Anthropology and a MSc in
Primate Conservation that lead her into mapping and
visualization. When she can get off her computer she goes
for a hike with her dog Buster.
Suyog Deshpande
Experience Architect
Salesforce
Suyog works with Salesforce's largest and most complex
enterprise customers as a hands-on user experience and
product expert. Suyog serves as a strategic advisor on
data visualization and analytic information delivery for
Salesforce Analytics Cloud- "Wave". In past, as a product
designer, Suyog has worked on various analytics products
- operational analytics, predictive analytics, mobile
dashboards, reporting tools and BI. Visualizing Field Instrument Trends: User
Reports to User Support
Before IoT was such a hot topic, all PacBio instruments
(DNA sequencing machines) were capable of calling home
and reporting performance data. Using a variety of data
mining, analysis, and visualization tools (e.g. Python, R,
d3js, and Tableau), we have developed dashboards and
reports for internal and customer use, looking for field
utilization trends in order for our supply chain to be ready
with shipments, looking for performance trends, and
attempting to predict if field support events may be about
to occur. Can Tigers Predict the Future?
WWF uses data to communicate the most ambitious
global wildlife goal ever set: Tx2, doubling wild tigers by
2022. Success may help answer questions on global
warming, food security, economic and political stability but is hinged on clear persuasive messaging that cuts
across language barriers. Can we show a future for a
species, can we show how to get there, can we show the
significance for the future of our species?
Great Paint Doesn’t Make Great Paintings;
You Need Great Painters - Transitioning
from User Experience to Customer
Experience
I was part of the team that designed “Salesforce Wave”,
A new analytics cloud released by Salesforce last year.
Last year was filled with doing a lot of user experience
work - building a great UX team, creating personas, doing
user research, many brainstorming sessions, a lot of low-fi
and high-fi prototypes and pixel perfect visual designs.
After 15 months of design work, we released a product
that we all were proud of. Our designs grabbed media
attention, our team won design awards and we got great
feedback from many users and colleagues. But then I was
struck with the reality - great paint doesn’t make great
paintings, you need great painters for that. I have now
moved into a new role that is a bridge between design
and customer success. As an Experience Architect, I am
now responsible for creating engaging end-user
customer experiences. My case study is about how and
why I transitioned from user experience to customer
experience. I will describe how this new role, which is a
combination of business and design is helping me to
become a better designer. We all know that design
impacts the top line of balance sheets but in this new role,
I can quantify that impact and I will discuss the details. I
was recently recognized as one of the top inventors at
Salesforce. My case study will also describe my experience
of moving from an innovation focused role to an execution
focused role.
Callie Neylan
Senior Designer, Data Viz
Microsoft Office
Callie Neylan is an interaction designer, researcher, and
writer. She is a senior designer at Microsoft Office,
working on data visualization software. Prior to Microsoft,
Callie was a full-time academic, teaching undergraduate
and graduate courses in interaction and visual design
while researching design and technology for the visuallyimpaired. She has also provided visual and interaction
design for renowned design firms and non-profits
including Gensler, Teague, and NPR.
Marc Smith
Director
Social Media Research Foundation
Marc Smith is a sociologist specializing in the social
organization of online communities and computer
mediated interaction. Smith leads the Connected Action
consulting group and lives and works in Silicon Valley,
California. Smith co-founded the Social Media Research
Foundation (http://www.smrfoundation.org/), a non-profit
devoted to open tools, data, and scholarship related to
social media research. Smith is the co-editor with Peter
Kollock of Communities in Cyberspace (Routledge), a
collection of essays exploring the ways identity; interaction
and social order develop in online groups. Along with
Derek Hansen and Ben Shneiderman, he is the co-author
and editor of Analyzing Social Media Networks with
NodeXL: Insights from a connected world, from MorganKaufmann which is a guide to mapping connections
created through computer-mediated interactions.
Touching Data
Big data. Little data. Open data. Closed data. In the
absence of a pointer and mouse, how do we control data
with our bodies? Is there a current gestural glossary for
data manipulation? If so, what is it and how and where is
it being used? What gestures are needed when authoring
data versus consuming data? In this talk, I will summarize
linguistic theory around language acquisition, considering
how humans learn and teach sign language and present
original research exploring how users manipulate data via
immersive touch UIs. Data is categorized in various ways
and articulated via its own specialized
vocabulary: aggregate, mash up, drill down, visualize,
consume, explore, compare, highlight, slice, dice, analyze,
filter, sort, focus, bubble up. These are words we use to
define data and our data-driven interactions via verbal
language. But in this age of gestural interfaces and touch
devices, what is the gestural language of data? As
interface designers during this pivotal juncture of the
information age, we are in the position to uncover,
develop and influence a new language – a sign language
of sorts – that allows users to directly manipulate data.
Uncover via tapping into the innate human capacity of
gesticulation. Develop by using participatory design
methods to define new gestures. Influence by observing,
recording, and sharing user-defined gestural language
research with the broader design community. Charting Collections of Connections in
Social Media: Creating Maps and Measures
Networks are a data structure commonly found across all
social media services that allow populations to author
collections of connections. The Social Media Research
Foundation's NodeXL project makes analysis of social
media networks accessible to most users of the Excel
spreadsheet application. With NodeXL, Networks become
as easy to create as pie charts. Applying the tool to a
range of social media networks has already revealed the
variations present in online social spaces. A review of the
tool and images of Twitter, flickr, YouTube, and email
networks will be presented. Mike Evans
Data Visualization Engineer
Facebook
Mike Evans is a Data Visualization Engineer at Facebook where he shapes data into insights. Prior to joining
Facebook, Mike was the VP of Product Management at TrueViz. He's also founded Viz Wars, a traveling data
visualization competition, and Mike's Advice, a popular social media page that provides bite-sized visual
inspiration. Mike received his BA in Telecommunication from Michigan State University and studied Film
Production at Chapman University before shifting his storytelling skills into data and technology.
The Information
Data Visualization Summit
Date:
Venue:
Location:
Accommodation:
April 28 & 29, 2015
San Jose Convention Center
San Jose, CA
Now Sold Out
Registration Pricing
Silver Pass
Gold Pass
Diamond Pass
$1495
$1795
$1995
Access to all sessions &
networking events
7 days access to presentations from the
summit via ieOnDemand
Access to all sessions, networking
events & unlimited access to
presentations from the summit via
ieOnDemand
Access to all sessions, networking
events, annual subscription to all content
on the Big Data & Analytics channels via
ieOnDemand
$1295
$1595
$1795
Early Bird Price
(before Feb 27)
Early Bird Price
(before Feb 27)
Early Bird Price
(before Feb 27)
On-Demand Pass
1 Day Pass
$795
$600
Full access to the sessions to your
chosen day of the summit, 7 days
access to presentations from the summit
via ieOnDemand
Unlimited access to presentations
from the summit via ieOnDemand,
including presentations, interviews & the
ability to contact speakers
7 day
online access to
event materials
Unlimited
access to
ieOnDemand
Group Discount Offers
3 Silver Passes:
5 Silver Passes:
3 Gold Passes:
5 Gold Passes:
$3000 ($1000 per attendee)
$4500 ($900 per attendee)
$3900 ($1300 per attendee)
$6000 ($1200 per attendee)
For group discounts on All Inclusive Passes, larger
groups or special requests contact Hayley by calling
+1 415 692 5378 or email [email protected]
* Team discounts are applicable at the point of
registration only.
Ways to Register
+1 415 692 5378
+1 323 446 7673
Register Here
F TI L
Registration Form
Data Visualization Summit
April 28 & 29, 2015 | San Jose Convention Center | San Jose, CA
For registration or more information on the program, please call Hayley on +1 415 692 5378 or fax this registration
form to +1 (323) 446 7673
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Early Bird Pass Options until February 27, 2015
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3 Gold Passes $3900 ($1300 per attendee)
5 Gold Passes $6000 ($1200 per attendee)
Regular Pass Options after February 27, 2015
For group discounts on All Inclusive Passes, larger groups or special
Silver Pass: $1495
Attendees ____
requests contact Hayley by calling +1 415 692 5378 or email
Gold Pass: $1795
Attendees ____
Diamond Pass: $1995
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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original
purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an
increase in registration fee for the remaining group participants. Cancellations before March 30, 2015 incur an administrative charge of 50%.
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cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice.
NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.
Schedule
Day One
April 28
08.30
Session One 08.30 - 10.00
10.00
Coffee Break 10.00 - 10.30
10.30
Session Two 10.30 - 12.00
12.00
Lunch 12.00 - 13.30
13.30
Session Three 13.30 - 15.00
15.00
Coffee Break 15.00 - 15.30
15.30
Session Four 15.30 - 17.00
17.00
Networking Drinks 17.00 - 19.00
19.00
Day Two
April 29
08.30
Session Five 08.30 - 10.00
10.00
Coffee Break 10.00 - 10.30
10.30
Session Six 10.30 - 12.00
12.00
Lunch 12.00 - 13.30
13.30
Session Seven 13.30 - 15.00
15.00
15.30
Coffee Break 15.00 - 15.30
Session Eight 15.30 - 17.00
17.00
Sponsors
Roundtable Sponsor
Exhibitors
For more information on sponsorship opportunities contact Pedro Yiakoumi
Sponsorship
Opportunities
Giles Godwin-Brown
[email protected]
+1 (415) 692 5498 US
+44 (207) 193 0386 UK
Delegate
Invitations
Sean Foreman
[email protected]
+1 (415) 692 5514 US
+44 (207) 193 1655 UK