The document discusses the analytics lifecycle, emphasizing the importance of data visualization and preparation in managing big data for competitive advantage. It highlights trends in technology, such as multi-core processors and grid computing, that enhance performance and scalability. It also points out that many organizations are not fully leveraging their data, suggesting an opportunity to maximize its value through effective analytics and visualization tools.

1. C o p yr i g h t © 2 0 1 2 , S AS I n s t i t u t e I n c . Al l r i g h t s r e s e r v e d .

2. Visualize This!
Deepak Ramanathan
Information Management
North Asia

3. “The Greatest Value Of A Picture
Is When It Forces Us To Notice
What We Never Expected To See.”
John W. Tukey, Exploratory Data Analysis 1977
Copyright © 2013 , SAS Institute Inc. All rights reserved.

4. THE ANALYTICS LIFECYCLE
IDENTIFY /
FORMULATE
BUSINESS EVALUATE / DATA
PROBLEM
MANAGER MONITOR DATA SCIENTIST
Domain Expert PREPARATION Data Exploration
RESULTS
Makes Decisions Data Visualization
Evaluates Processes and
ROI How can
DEPLOY
you create
MODEL DATA
competitiv
EXPLORATION
e
IT SYSTEMS / advantage DATA MINER /
VALIDATE ?
MANAGEMENT TRANSFORM STATISTICIAN
MODEL
Model Validation Exploratory Analysis
& SELECT
Model Deployment BUILD Descriptive Segmentation
Model Monitoring Predictive Modeling
MODEL
Data Preparation
Copyright © 2013 , SAS Institute Inc. All rights reserved.

5. THRIVING IN THE BIG DATA ERA
VOLUME
VARIETY
DATA SIZE
VELOCITY
VALUE
TODAY THE FUTURE
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6. TRENDS IN STORAGE
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7. TRENDS IN PROCESSORS
Dude!
Where is my 20ghz processor?
Copyright © 2013 , SAS Institute Inc. All rights reserved.

8. TRENDS IN PLATFORM DESIGNS
Multi-socket, Commodity Chassis of blades
multi-core platform blade
Grid computing environments and multicore processors are increasingly cost effective
• 2 X {12,16} core 2.2 GHz processor
• {64,96,128,256} GB Ram
• 2 X {200,300,600,900} GB drives
• Rack of 48 blades, (1152, 1536} cores
Performance is gained by breaking work into tasks that can be done in parallel by nodes or
processes
Copyright © 2013 , SAS Institute Inc. All rights reserved.

9. STEPS TO CONQUER
Big Data COMPLEXITY
TURN CHALLENGE INTO OPPORTUNITY
• 53% leverage half of their valuable data
• 24% believe vast amounts of important data
goes untapped
GAIN MAXIMUM VALUE FROM YOUR DATA
• SAS® Analytics + Powerful Visualizations +
Sharing
• High Speed Performance + Cost Efficient
Scalability
Source: Economist Intelligence Unit 2011 Report, Sponsored by SAS, 2011
Copyright © 2013 , SAS Institute Inc. All rights reserved.

10. Copyright © 2013 , SAS Institute Inc. All rights reserved.

11. Thank You
Deepak Ramanathan
deepak.ramanathan@sas.com
Copyright © 2010, SAS Institute Inc. All rights reserved.