Data Visualization - HorizonWatch 2015 Trend Report

© 2015 IBM Corporation
IBM Market Development & Insights
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Data Visualization: 2015 HorizonWatch
Trend Report
A bluemine original report – Client Version
Contact: Bill Chamberlin, Principal Client Research Analyst / HorizonWatch Community Leader
January 27, 2015

 Purpose: The slides provide an overview of the Data Visualization trend for IBM
clients
 Content: Summary information about the Data Visualization trend is provided along
with many links to additional websites and resources.
 How To Use This Report: This report is best read/studied and used as a learning
document. You may want to view the slides in slideshow mode so you can easily
follow the links
 Available on Slideshare: This presentation (and other HorizonWatch Trend
Reports for 2015) will be available publically on Slideshare at
http://www.slideshare.net/horizonwatching
 Please Note: This report is based on internal IBM analysis and is not meant to be a
statement of direction by IBM nor is IBM committing to any particular technology or
solution.
About This Trend Report
2 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015

Table of Contents
1. One Page Summary of the Data Visualization Trend
2. Data Visualization Trends to Watch in 2015
3. What Others Are Saying About Data Visualization for 2015
4. Websites, Reports, and Additional Resources

Table of Contents

Data Visualization – Trend Overview
Drivers
 Huge growth in Big Data…both structured and unstructured
 Business Leaders need the insights presented in simple
visual formats that aid and speed decision making
 Advanced Data Visualization applications and capabilities
with rich graphics and interactivity
Challenges
 Demand for easy to use / self-service tools and dashboards
 Implementing and embedding Analytic and Visualization
tools into daily activities and onto different mobile platforms
 New processes = New skills required (e.g. storyteller)
 Managing Data Quality
Implications
 The ability to present insights effectively can have a
significant impact on decision making
 Requirements for future visualization tools
 Very easy-to-use self service tools designed for
business users.
 Full integration with big data / analytics platforms
 Real time capability
 Available on mobile devices
 Embedded predictive and cognitive capability
“The key to effective analysis
of big data is the integration
of visualization into analytics
tools so that all kinds of
users can interpret big data
from a wide range of
sources—clickstreams,
social media, log files,
videos and more.” IBM
“Organizations with real-time
visualization are able to obtain
critical information within the
decision window 78% of the time,
or 22% more often than
organizations without real-time
visualization.” Aberdeen

Table of Contents
4. Websites, Reports, and Additional Resource

Data Visualization Trends for 2015
1. Interest Grows: In 2015, we will see increased
interest by LOB for all types of data discovery and
visualization tool information, demos, and case
studies
2. Spending Grows Too!: Many enterprises are
further along the purchase cycle. Expect continued
spending growth in data discovery, exploration, and
visualization tools
3. Analytics Integration: For mature users, expect a
movement towards advanced big data & analytic
platforms that have embedded visualization
capabilities, rather than a separate visualization tool
on the backend
4. Real Time: Increasingly, execs are interested in
real-time analytics and visualizations. Expect
increased interest in this area in 2015.
5. Self Service: Driven by consumerization, self-
service is a key trend as users want to be able to
manipulate the data themselves, simulating
expected changes in data in real-time to see impact
HBR: Webinar: The Visual
Organization
“Adopters of interactive
visualization achieve faster
decision making, greater data
access, and stronger user
engagement, in addition to
desirable results in several
other metrics.” Aberdeen

6. Mobile: Users will expect to have data discovery and
visualization capabilities on they BYOD tablets and
smartphones. And the expectation will be that all enterprise
apps will have visualization capabilities embedded as part
of the mobile application.
7. Cognitive: An emerging trend where users will expect that
the applications to interact with them and learn how that
user likes to discover, analyze, and visualize information.
8. 3D Visualizations: Used in product development for
years, 3D is being increasing applied to business analytics
as a way of helping decision makers understand insights in
big data.
9. Story Telling: Decision makers want the data to tell a
story that will help them arrive at a decision. Visualization
tools will increasingly support that process and some will
even allow for video output as part of that capability.
10. Broader Tool Set: Advanced visualization tools are still an
emerging product area. Expect vendors to announce new
versions with a broader set of smarter data integration
tools, tighter integration with analytics platforms, better
insight discovery tools and improved visualizations.
“Widespread adoption of
mobile technology and
social computing has
driven interest in
visualization capabilities
and real-time analytics.”
Forrester
“Good data visualization
practices help not just to
solve issues but also to
pose new questions,
encouraging the discovery
and research process to
go beyond common tasks
to explore new patterns
and trends that can
potentially boost business
efficiency.” TEC

11. Hall of Fame: Vendors and media websites
highlight best of breed visualization examples to
help educate and sell.
12. Implementation Challenges: The main
challenges of skills, culture, and data quality will
impede the full rollout of data discovery and
visualization tools
13. MS Excel 2013: Many individuals and small
business users will discover that MS Excel offers
much of what they need without the need.
14. Specialized Vendors: Focused vendors like
Tableau, Qlik, and Spotfire continue to innovate
and grow at a rapid pace as decision makers
demand improved data visualization capability.
15. Large Vendors: Larger IT vendors will increase
investments in this market to complement Big
Data and Analytic capabilities. They will focus on
integrating visualization and data discovery
capabilities into their analytic platforms.
IBM
“The future of our universities,
like the future of our cities, our
social life and even our
thoughts and emotions, is
increasingly defined by the
way we visualize data,” Mark
Wigley, Dean of GSAPP at Columbia
University

Table of Contents

The Data Visualization trend is all about presenting detailed insights
in a visual way that helps individuals make faster & better decisions
Hans Rosling demonstrates the use of
advanced data visualization
techniques to draw out insights from
large amounts of data
Hans Rosling Video 200 Countries, 200
Years, 4 Minutes - The Joy of Stats
“Data visualization is the study of the visual
representation of data, meaning "information
that has been abstracted in some schematic
form, including attributes or variables for the
units of information.” Wikipedia
Image Source: Wikipedia (link)

“The world is complex,
dynamic, multidimensional; the
paper is static, flat. How are we
to represent the rich visual
world of experience and
measurement on mere
flatland?” Edward R. Tufte
University of Chicago Data Visualization Challenge 2014 - 1st
Place Winner: Making Indonesia
Visualization tools allow users to explore and interact in order to
draw insights out of the data

Data visualization tools lets users interact with big data to see
patterns and insights they would not have seen otherwise
“Data visualization—perhaps the most
important vehicle for delivering and
transforming data into knowledge—is
fundamental to gaining understanding of
increasingly complex business processes
and data, as well as for encouraging better
decision making.” TEC
IBM: Watson Analytics
“If used correctly, data visualization can help remove barriers to data comprehension by
providing a shared language that simplifies complex issues and increases mutual
understanding—no matter how big the big data becomes.” Accenture
“Enterprises find advanced data visualization (ADV) platforms to be essential tools that
enable them to monitor business, find patterns, and take action to avoid threats and
snatch opportunities.” Forrester

A key driver of Data Visualization capabilities is that enterprises are
finding it harder to leverage all the big data they collect
IBM
“Visualization exploits the human visual system
to provide an intuitive, immediate and language-
independent way to view and show your data. It
is an essential tool for understanding
information.” IBM
“The key to effective analysis of big data is the integration of visualization into analytics
tools so that all kinds of users can interpret big data from a wide range of sources—
clickstreams, social media, log files, videos and more.” IBM
“Data is just data. Its evolution depends on its
management. How we present the
data, knowledgeably and wisely, is key to adding
real business value.” TEC
“Tools for interactive data visualization form the
perfect companion to a complex data
environment.” Aberdeen

Successful implementation of Data Visualization can help
companies create a competitive advantage
IBM
“Identifying patterns, anticipating outcomes and proactively optimizing a response will
be the basis for competition in the future. In the next 10 years, the companies that don't
have analytics deeply embedded in their business model will most likely cease to exist”
Gartner
“The jury is still out as to whether most
corporations will take full advantage of their
data for competitive purposes. Companies that
do realize that being able to analyze many
forms of data at the same time in the form of
interactive visualizations have a competitive
advantage.” Data Visualization For Dummies
“Through 2015, 85% of Fortune 500
organizations will be unable to exploit big data
for competitive advantage.” Gartner

All signs are pointing a bright future for data discovery and
visualization tools
Forbes
Kristen Sosulsk, NY Stern
“Today, people interact with visual depictions
through a mouse. Tomorrow, they'll be
touching, swiping, grasping, feeling, hearing,
smelling, and even tasting data. The next big
thing is multisensory visualization that goes
beyond the desktop.” IEEE
“Visual data discovery tools will be growing
2.5x faster than rest of the BI market;
investing in this enabler of end-user self
service will become a requirement for all
enterprises by 2018.” IDC
“Ninety-one percent of business decision
makers predict the demand for data
visualization tools on mobile devices will
increase in the next five years.” SAP

In 2015, expect visualization tools be become even easier to use so
that all employees have the support they need to make decisions
“The rise of data discovery and interactive
visualization also increase the need for greater
comprehension. A new style of analysis is
emerging helping users to do analytics via
storyboards, analytics chains and guided
exploration.” Gartner
Gartner
“The ability to visualize data in real time or near real time can make or break a critical
decision. Leading companies are using technology at the beginning of this process to
help integrate data in real time, such that it can be displayed to the line-of-business
much quicker, ultimately supporting more rapid data-driven decisions.” Aberdeen
“Well-designed visualizations will deliver the right
information to users, who are also spared waiting
on IT to dig through raw data to produce digestible
analysis.” Aberdeen

Aberdeen Research has shown there are real performance benefits
for organizations who have real-time data visualization capabilities
“Organizations with real-time
visualization are able to obtain
critical information within the
decision window 78% of the time,
or 22% more often than
organizations without real-time
visualization.” Aberdeen
“Organizations with real-time data
visualization achieved a 26%
increase in new pipeline accounts
identified.” Aberdeen
“Organizations with real-time data
visualization achieved a 15%
increase in cash generated from
operations.” Aberdeen
Aberdeen
Aberdeen

There are numerous benefits to enterprises implementing data
visualization capabilities
“Advanced technology can make a
significant difference in users’ ability to
interface to large knowledge
repositories.” Gartner
“On average, those using data
visualization tools report it would take
an average of nine hours longer to
see patterns, trends, and correlations
in their company’s data without data
visualization.” SAP
“Visualization can play a key role by making the individual analytic components
understandable and by tying them together into a comprehensible “big picture.” IBM
1. Absorb information in new and more
constructive ways.
2. Visualize relationships and patterns between
operational and business activities
3. Identify and act on emerging trends faster
4. Manipulate and interact directly with data
5. Foster a new business language DataInformed

Marketing Professionals are finding that analytics and visualization
tools can help them leverage all the big marketing data
“As digital marketers find themselves
awash in data, many rely on
visualization and dashboard tools to
help them see patterns and
democratize discovery.” Gartner
“The combined use of data
visualization and customer
segmentation can provide a
competitive advantage that enables
your company to adapt and thrive in
today’s environment.” TDWI
“Predictive capabilities empower marketers to fine-tune market segmentation, recognize
correlations, and differentiate anomalies from patterns. Visualizing predictive analytics
makes tools more accessible; leading marketers are 70% more likely to be able to use
predictive tools without statistical expertise.” Aberdeen
Annie Cushing

The most recent Forrester WaveTM Report provides a review of
Advanced Data Visualization platforms
Forrester
Forrester: Six traits of advanced data visualization (ADV)
platform capabilities
1. Dynamic data
2. Visual querying
3. Linked multi-dimensional Visualization
4. Animation
5. Personalization
6. Actionable alerts
“Today we look for differentiated Advanced Data
Visualization capabilities such as
• Richness of ADV content. What are the BI platform
ADV capabilities in terms of richness of data visualization
content like graphs and charts that are available out of the
box?
• Data visualization effectiveness. What are the BI
platform ADV capabilities in terms of allowing business
users to efficiently and effectively visualize data sets and
act on the results?”
Forrester

As Advanced Data Visualization capability becomes more common,
new processes and skills will be required
“The challenge is that if management
teams do not consciously build in great
visualizations, their organizations will
waste an inordinate amount of time sifting
through the river of bits, and not get the
effective insights they need” HBR
“So what should CIOs do? Lead by
example. Constantly and critically look at
how information is being presented within
the organization and ask themselves and
others "Is this the best way to represent
this data?” Forrester
“As people begin to experiment with the creation and interpretation of visualizations and
including them in presentations, a not-so-apparent shift will take place in the background
where the traditional ‘analyst’ role slowly morphs to give way to a new breed — the
storytellers — who will be more strategic and consultative in nature and not data-waiters,
statisticians or always comfortable with extreme analytics.” Ruben Alcaraz
Resources
 Bill Shander Data Visualization Fundamentals
 MIT Open Courseware: How to Process,
Analyze, and Visualize Data
 Fell in Love with Data How to Become a Data
Visualization Expert: A Recipe
 Flowing Data Tutorials, Books and Guides
 Visualising Data Essential Collection of
Visualization Resources

Other related definitions from Wikipedia
“Visual analytics is an outgrowth of the fields information visualization and scientific
visualization, that focuses on analytical reasoning facilitated by interactive visual
interfaces.” Wikipedia
“Software visualization refers to the
visualization of information of and related to
software systems and their development
process by means of static, interactive or
animated 2-D or 3-D visual representations of
their structure, execution, behavior, and
evolution.” Wikipedia
“Information visualization is the study of (interactive) visual representations of abstract data
to reinforce human cognition. The abstract data include both numerical and non-numerical
data, such as text and geographic information.” Wikipedia
“Information graphics or infographics are graphic visual representations of information, data
or knowledge intended to present complex information quickly and clearly. They can
improve cognition by utilizing graphics to enhance the human visual system’s ability to see
patterns and trends.” Wikipedia
“Interactive Visual Analysis is a set of
techniques for combining the
computational power of computers with
the perceptive and cognitive capabilities
of humans, in order to extract knowledge
from large and complex datasets.”
Wikipedia

Table of Contents
24 Data Visualization: A 2015 HorizonWatch Trend Report
27 Jan 2015

Examples of Interesting uses of Data Visualization
 Businessweek: 21 Heroes of Data Visualization
 DataVis.ca – Gallery of Data Visualization
 Data Mashup: 50 Great Examples of Data Visualization!
 Designmodo: 20 Professional Examples of Data
Visualization
 General Electric: Data Visualization
 Information is Beautiful - Over 300 of the best data-
visualizations & infographics
 Mashable: 9 Captivating Data Visualization Projects
 Master’s In Data Science – 10 Cool Big Data
Visualizations
 Megan Jaegerman’s: News Graphics
 OptimizeThis - Data Visualization Examples
 University of Chicago – Data Visualization Challenge 2014
 Visualizing Data - Best of the Visualisation Web (June
2014)
 Yahoo News – 8 Great Examples of Data Visualization
Example: Oscars Infographic

These four TED talk videos demonstrate the power of using data
visualization techniques to understand trends in data
The beauty of
data
visualization
Artfully
visualizing
our
humanity
Hans
Rosling
on HIV
Stats that
reshape
your
worldview
More Example
videos at Best
TED videos on
Data
Visualization

Data Visualization – Selected 2015 Prediction Articles
 Qlik 2015 Technology Predictions: Qlik on Big Data
 Tableau Top 10 Trends in Business Intelligence in
2015
 Datapine Data Discovery and Visualization Predictions
for 2015
 Carson Research Data Visualization Predictions for
2015
 The New Journalist Data Visualization Predictions for
2015
 Eval Central The Future of Dataviz: What’s in Store for
2015?
 Eager Eyes The State of Information Visualization
2015
 Ann K. Emery Visualization in 2015: New Year’s
Resolutions to Further Your Data Development
 Peer1 Hosting The Emerging Trends of 2015 –
Visualization and Data Discovery
CBR
“People are becoming increasingly
savvy dataviz consumers, producers,
and rockstars every day. If we’re not
learning and growing too, we’ll be left
in the dust.” Eval Center

Data Visualization – Analyst Websites and Resources
 451 Research: Visualization
 Aberdeen: Visualization
 Forrester:
 Website Tag: Data Visualization
 Google Search: Visualization
 Gartner:
 Google Search: Visualization
 Blog Posts: Visualization
 IDC: Google Search Visualization
 International Institute for Analytics
Visualization (Google search)
 Ovum Google Search Visualization
“Data visualization tools are powerful
means to democratizing data within an
organization and enabling non-statistically
trained users to rapidly gain insights about
critical business decisions.” International
Institute for Analytics
Aberdeen

Data Visualization – Media Websites and Resources
 Bloomberg.com: Visualization (search)
 Businessweek: Visualization (search)
 CIO-Asia.com: Visualization (search)
 CIO.com: Visualization (search)
 ComputerWorld: Visualization (search)
 Forbes: Visualization (search)
 GigaOM: Visualization (search)
 Harvard Business Review: Visualization (search)
 Infographics Mania: Your Visual Data Digest
 InformationWeek: Visualization (search)
 InfoWorld: Visualization (search)
 NY Times: Visualization (search)
 ZDNet.com: Visualization (search)
•
“A decade ago, data analysis was a
chore. Workers poured figures into
Excel and then spent hours searching
for patterns. That process is getting
less cumbersome, thanks to a handful
of companies selling visualization
software that can help even
neophytes turn data—from hospital
readmissions to call-center traffic—
into colorful, interactive bar graphs
and pie charts.” Bloomberg
InformationWeek: Visual Data Discovery:
4 Storytelling Approaches Compared

Data Visualization – IT Vendor and Consultant Websites and Resources
 DataWatch: Website
 David McCandless: Information is Beautiful
 Deloitte: Analytics Visualization Studio
 IBM: Data Visualization
 Information Builders: Visualization
 Infosys: Visualization (search)
 Microsoft: Visualization (search)
 Microstrategy: Visualization (search)
 Oracle: Visualization (search)
 Perceptual Edge: Visual Business
Intelligence
 Qlikview: Visualization (search)
 SAP: Visualization (search)
 SAS: Visualization (search)
 Tableau Software: Visualization (search)
 Tibco: Visualization (search) and Spotfire
IBM Research Projects: Graphics
and Visualization
“Complex supply chains require
sophisticated, connected tools to monitor
risks, predict disruptions, and support rapid
recovery as part of an overall resilience
strategy. For leading companies, this line of
thinking has led to an increase in adoption
of advanced tools grounded in analytics and
visualization.” Deloitte

Data Visualization – Selected Software Vendors
 Actuate: Data Visualization Software
 Advizor – Visualization Gallery
 DataWatch - Website
 IBM: Visualization
 Information Builders: Visualization
 Jaspersoft: Dashboards
 Microsoft: SandDance
 MicroStrategy: Website
 Oracle: AutoVue
 QlikView: Visualization
 Panorama: Dashboard / Workboard
 Pentaho – Visualization
 SAP: Visualization
 SAS: Visualization
 SpagoBI: Self-Service
 Tableau Software: Data Visualization
 Tibco Software: Spotfire Gartner

Data Visualization – Selected Social Sites and Searches
 Google Blog Search: Visualization
 Google+ Communities
Search: Visualization
 LinkedIn Group Search: Visualization
 Pinterest Search: Data Visualization
 Slideshare: Data Visualization
 Twitter hashtag searches: #Visualization
#dataviz
 Twitter accounts to follow: @visualized,
@visually, @infobeautiful
 Tumblr Search: Visualization
 YouTube: Data Visualization Playlists and
Data Visualization Channels
 Wikipedia: Information Visualization and
Data Visualization and Infographics
#dataviz – Twitter Hashtag Search

Data Visualization – Other Selected Websites & White Papers
 Data Visualization for Marketing: Picture Perfect Customer Insight,
Aberdeen, Dec 2014
 Big Data Visualization, Dr. Nan Cao (IBM), Dec 2014
 Big Data Visualization: Seeing the Haystack as a Pile of Needles,
Aberdeen, Dec 2014
 Data Visualization & Dashboard Projects, Pentaho, Dec 2014
 Data Visualization for the Internet of Things, Aberdeen, Dec 2014
 Data Visualization: How to Tell Number Stories with Pictures,
Association for Financial Professionals, Nov 2014
 Data Visualization 101: How to Design Charts and Graphs,
HubSpot/Visage, Oct 2014
 Data Visualization: When Data Speaks Business, TEC, Sept 2014
 Interactive Data Visualization: The IT Perspective, Aberdeen, July
2014
 A Visualization is Worth a Thousand Tables, Ziff Davis, June 2014
 Interactive Data Visualization: Strategies and Key Technologies,
Aberdeen, March 2014
 Principles of Data Visualization - What We See in a Visual,
FusionCharts, Feb 2014
 Choosing a successful structure for your visualization, IBM, Feb
2014
Association for Financial
Professionals: Data Visualization: How
to Tell Number Stories with Pictures
“Financial planning and analysis
(FP&A) teams are increasingly
being challenged to produce and
organize financial data, and also
convey it through intuitive images.
Without the ability to organize and
present data efficiently, decision-
making takes longer” AFP

Data Visualization – Other Selected Websites & White Papers
 Top Considerations for Effective Visualizations, TWDI, Dec 2013
 Making Data Visualization Great at The World Bank, World Bank
Data Group, Dec 2013
 Aberdeen - Real-Time Data Visualization Do it Live, Aberdeen,
October 2013
 Using visualization to understand big data, IBM, Sept 2013
 Understanding Data Visualization, Accenture, Aug 2013
 What Makes a Visualization Memorable?, MIT/IEEE, Aug 2013
 Delivering Self-Service BI, Data Visualization, and Big Data
Analytics, Intel, June 2013
 Data Visualization: Making Big Data Approachable and Valuable,
IDG Enterprise, Nov 2012
 Extending business intelligence with dashboards, IBM Cognos
Business Intelligence, Sept 2012
 Enterprise Data Analysis and Visualization: Sean Kandel, Andreas
Paepcke, Joseph M. Hellerstein, and Jeffrey Heer, Aug 2012
 Criteria for Evaluating Visual EDA Tools, Visual Business
Intelligence Newsletter, June 2012
TWDI
IBM

Selected Books on the Data Visualization Topic
 Beautiful Evidence by Edward Tufte
 Beautiful Visualization: Looking at Data Through the Eyes of Experts, by Julie Steele and Noah Iliinsky
 Designing Data Visualizations, by Noah Iliinsky and Julie Steele
 Envisioning Information by Edward Tufte
 Graph Design for the Eye and Mind, by Stephen Kosslyn
 Infographics Designers' Sketchbooks, by Steven Heller
 Information Dashboard Design: The Effective Visual Communication of Data, by Stephen Few
 Information Visualization, Third Edition: Perception for Design (Interactive Technologies, by Colin Ware
 Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/CRC Computer Science
& Data Analysis), by Martin Theus
 Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few
 Show Me the Numbers: Designing Tables and Graphs to Enlighten, by Stephen Few
 The Book of Trees: Visualizing Branches of Knowledge, by Manuel Lima,
 The Laws of Simplicity (Simplicity: Design, Technology, Business, Life), by John Maeda
 The Craft of Information Visualization: Readings and Reflections, by Ben Shneiderman
 The Wall Street Journal Guide to Information Graphics, by Dona Wong
 Visual Thinking: for Design, by Colin Ware
 Visualize This: The FlowingData Guide to Design, Visualization and Statistics, by NathanYau
 Visualizing Data: Exploring and Explaining Data with the Processing Environment, by Ben Fry

Data Visualization – Selected Experts/Influencers
LinkedIn Profile Job / Company Twitter Blog
Enrico Bertini Assistant Professor at NYU-Poly FILWD http://fellinlovewithdata.com/
Michael Cristiani Senior Consultant, The Lewin Group mcristia
Kaiser Fung Vice President, Business Intelligence and Analytics Vimeo Junkcharts http://www.kaiserfung.com/
Noah Iliinsky Amazon Web Services, ComplexDiagrams.com Noahi ComplexDiagrams.com
Ben Jones Tableau Public Product Marketing Manager, Tableau Software DataRemixed http://dataremixed.com/
Andy Kirk Founder and Managing Director, Visualising Data Ltd Visualisingdata www.visualisingdata.com
Alan Keahey Visualization Expert, IBM Watson Emerging Technologies Group tueviz http://holisticsofa.com/
Robert Kosara Visual Analytics Researcher, Tableau Software eagereyes http://eagereyes.org/
Andy Kriebel Data Visualization Guru, Facebook VizWizBI http://vizwiz.blogspot.com/
Zhicheng Liu Research Scientist, Adobe zcliu http://www.zcliu.org/blog
Andrew Vande Moere Associate Professor, KU Leuven Infosthetics http://infosthetics.com/
Daniel G Murray Director of BI Services, InterWorks, Inc DGM885 http://dgm885.tumblr.com/
Scott Murray Assistant Professor of Design at USF alignedleft alignedleft.com
Cole Nussbaumer Founder | Speaker | Author - Storytelling with data Storywithdata http://www.storytellingwithdata.com/
Jon Peltier Owner of Peltier Technical Services Inc, Jon_Peltier http://peltiertech.com/WordPress/
Naomi B Robbins Consultant / seminar leader on communicating data clearly NBR Nbrgraphs www.nbr-graphs.com
Matt Stiles Data Editor, News Applications NPR stiles http://thedailyviz.com/
Edward Tufte Founder, Tufte.com EdwardTufte tufte.com
Martin Wattenberg Research Scientist at Google Wattenberg www.bewitched.com
Dr. Nathan Yau, PhD Founder at Flowing Data Flowingdata http://flowingdata.com/

Data Visualization – Selected IBM Resources and Links
37 Data Visualization: A 2015 HorizonWatch Trend Report
27 Jan 2015
Software:
 Data Visualization
 Many Eyes
 AnalyticsZone – Visualizations
 Dashboards
 SPSS Visualization Designer
 Cognos Insight
 Watson Analytics
IBM Research:
 Graphics and Visualization
 Visualization and Behavior Group
Developers
 Watson Developer Cloud: Visualization Rendering
Many Eyes IBM
Cognos Insights IBM
“Visualization plays a key role in enabling the
understanding of complex data analytics, and it can
convey the key analytical nuggets of information to
other people in the organization who have less
expertise in analytics.” IBM

Selected IBM Social Media Websites, resources and links
 Twitter:
 @AnalyticsZone
 @IBMCognos
 @CognosInsight
 @ibmbizanalytics
 @IBMbigdata
 @manyeyes
 Facebook: AnalyticsZone, Cognos, SPSS
 Google+: AnalyticsZone
 Community: AnalyticsZone / Manyeyes
 LinkedIn: Cognos / IBM Big Data
 Blogs: Analytics Zone / Big Data Hub
Video Playlist: Creating Effective Visualization Series with
Noah Iliinsky
Twitter: @AnalyticsZone

Additional Information on Technology Trends
Other slide decks in this 2015 Trend Report series have been posted to Slideshare
You are also invited to check out the following IBM websites and resources
– IBM Academy of Technology
– IBM Center for Applied Insights
– IBM Institute for Business Value
– IBM Research and 5 in 5
– IBM’s Smarter Planet Blog

Data Visualization - HorizonWatch 2015 Trend Report

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