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ADVANCED DATA VISUALIZATION
REDUCE TO THE TIME TO INSIGHT AND DRIVE DATA DRIVEN DECISION MAKING
Mark Wolff, Ph.D.
Principal Industry Consultant
Health and Life Sciences Global Practice
SAS Institute
“If I can't picture it, I can't understand it.”
Albert Einstein
JOHN W. TUKEY
•
Automatic analysis techniques such as statistics
and data mining developed independently from
visualization and interaction techniques
•
Important shift from confirmatory data analysis
(using exploratory data analysis charts and other
visual representations to just present results) to
exploratory data analysis (interacting with the
data/results)
J.W. Tukey. Exploratory Data Analysis. Addison-Wesley, Reading MA, 1977.
HISTORY
“The greatest value
of a picture is when
it forces us to notice
what we never
expected to see.”
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DEFINITIONS
VISUAL ANALYTICS
“The science of analytical reasoning facilitated
by interactive human-machine interfaces"
P. C. Wong and J. Thomas. Visual analytics. IEEE Computer Graphics and Applications, 24(5):20–21, 2004
.
“Visual analytics combines automated
analysis with interactive visualizations for
an effective understanding, reasoning
and decision making on the basis of very
large and complex datasets.”
Daniel Keim, Jörn Kohlhammer, Geoffrey Ellis and Florian Mansmann (Eds.) Mastering The Information
Age – Solving Problems with Visual Analytics Eurographics, 2010, pp.57-86, ISBN: 978-3-905673-77-7
The creation of tools and techniques to enable people to:
•
Synthesize information and derive insight from massive, dynamic,
ambiguous, and often conflicting data.
•
Detect the expected and discover the unexpected.
•
Provide timely, defensible, and understandable assessments.
•
Communicate these assessment electively for action.
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DEFINITIONS
BIG DATA
•
Volume
•
Variety
•
Velocity
•
Variability
•
Complexity
… it’s relative - when an organization’s ability to handle,
store and analyze data exceeds its current capacity they
have “big data”
DEFINITIONS
VISUAL ANALYTICS
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ENTERPRISE
ANALYTICS
THE ANALYTICS LANDSCAPE
ENTERPRISE
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VISUALIZATION
WHICH OPTION TO PROPOSE?
Business
Intelligence
•Personas
: General
•Data
: General
•Purpose
: Basic
visualization/reporting
•Value
: Easy
understanding of
information, trends and
status
Data Explorer
•Personas
: SAS Drug
Development User
•Data
: SAS Datasets in
SDD
•Purpose
: Quick view,
filtering, structure
exploration
•Value
: Built in capability
to browse and explore
data sets
JMP Clinical
•Personas
: Scientist,
Medical Reviewer,
Clinical Researcher
•Data
: SDTM-like data
sets
•Purpose
: Clinical Trial
specific visualization (e.g.
Patient Profile, Patient
Narratives, Medical
Monitor Dashboard,
Fraud Detection)
•Value
: Wide variety of
pre-built clinical solutions.
Easy to use non-coder
analytical viewer
Visual Analytics
•Personas
: Senior
Management, non
statisticians
•Data
: Large/Big data,
Aggregated, Mixed
purpose/secondary use
•Purpose
: Ad hoc
Exploration, Cohort
Definition, Outlier
Identification, Big Data
Exploration
•Value
: Intuitive,
non-statistician explorer,
Responsive large data
exploration, Visually
pleasing reporting and
dashboards
SAS BI/SAS GRAPH
ROBERT ALLISON
Clarke Error Grid Plot
Hemoglobin Error Grid
Flu Tracking Analytics
U.S. Fuel Ethanol
Jim Goodnight dot plot
Election Forecast Map
Exposure to Meningitis
Interactive Human Body
Custom SG Matrix
Baby Name Popularity
China's Favorite Mobile
Oil & Gasoline Price
Oil & Gas Correlation
Basketball Forecasting
Star Trek's Dashboard
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STATISTICAL DISCOVERY FROM SAS
VISUAL ANALYTICS
ADVANCED DATA VISUALIZATION
•
Move from “big data” to “right data”
•
Dramatically increase the speed to insight
•
Meaningfully support data driven decision making
•
Intuitive and collaborative access to information
•
Explore data independently
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Central Entry Point
Integration
Role-Based Views
DELIVER
PREPARE
EXPLORE
DESIGN
• SAS
®
Mobile BI - native
tablet applications
delivering interactive
reports
• Web and PDF
• Manage data
• Load and join data
• Create calculated
columns
• Perform ad-hoc data
exploration
• Insights generated
through analytic
visualizations
• Create dashboard style
reports for web or
mobile
IN-MEMORY ANALYTICS ENGINE
SAS VISUAL
ANALYTICS
DELIVERS A SINGLE SOLUTION
FOR FASTER, SMARTER DECISIONS
•
Clinical Research
•
Cross study/meta analysis
•
Molecular/genomics
•
Patient Safety
•
Post marketing surveillance
•
Disproportionality analysis
•
Disease Management
•
Monitor large populations
•
Identify cohorts of interest
•
Outcomes Research
•
Hypothesis generation
•
Real time interactive exploration
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KEY HIGHLIGHTS OF VISUAL ANALYTICS 6.1
SAS VISUAL
ANALYTICS
Analytics
Forecasting
Correlation
Analysis
Advanced
Regression
Enhanced Box
Plot Analysis
Visualization
Precision
Layout
Enhanced
Interactivity
Enhanced
Visualizations
Custom
Calculations
Mobility
New
Visualizations
Enhanced
Interactivity
Enhanced
Security
Android
Support
Enterprise
Enhanced
Security
Advanced Data
Preparation
Incremental
Data
Share Data
(Export)
ANALYTICAL CAPABILITIES
SAS VISUAL
ANALYTICS
• Intelligent
Forecasting Model
selection
• Clear explanation of
Forecasting results
• Details in graphical
and tabular format
• Share results.
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ANALYTICAL CAPABILITIES
SAS VISUAL
ANALYTICS
• Multiple regression
model options
• Clear explanation of
analytical results
• Details in graphical
and tabular format
• Share results.
ENHANCED VISUALIZATION & INTERACTIVITY
SAS VISUAL
ANALYTICS
• ‘Brushing Mode’
allows for
interactivity between
multiple visuals
• Dynamic filtering
allows for quickly
selecting inclusions /
exclusions
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REPORTING CAPABILITIES
SAS VISUAL
ANALYTICS
• Precision layout of
report objects
• New visualizations
• New ways to create
report interactivity
• Embed Stored
Process results
REPORTING CAPABILITIES
SAS VISUAL
ANALYTICS
• Precision layout of
report objects
• New visualizations
• New ways to create
report interactivity
• Embed Stored
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DATA PREPARATION CAPABILITIES
SAS VISUAL
ANALYTICS
• Operations for
analytical data
preparation
• Robust data query
and structuring
• Easy to use SQL
based operations
DATA ADMINISTRATION
SAS VISUAL
ANALYTICS
• Table Level
Security
• Row-Level Security
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