This is SAS presentation at Enzee Universe

1. SAS and
June 2011
Copyright © 2010 SAS Institute Inc. All rights reserved.

2. Who is SAS: The Leader in Enterprise Analytics Software
Basic company statistics:
• Founded 1976: 11,000+ employees in 400+ offices
• 600+ global alliances
• Revenues have increased every year
• 2010 worldwide revenue $2.43 B
• 24% of revenues reinvested in R&D
• Ranked in Leader’s Quadrant for Gartner’s 3 key areas for
Analytics: Data Integration, Analytics and Reporting
• IDC: SAS is leader in Analytics with a 34.5% market share
Services
Retail
Customers: 4%
11%
Other Financial Services
• 4.5 million users worldwide 2% 42%
• 50,000+ sites in 114 countries Manufacturing
6%
• 92 of the Top 100 Fortune Global 500
Healthcare
• 9 of 10 Leading Media Agencies & Life Sciences Communications
8%
• Over 1,000 Universities 8%
• Over 90% of US Federal Agencies Government Education
14% Energy & Utilities 3%
• All 50 US State Governments 2% 2
Copyright © 2010, SAS Institute Inc. All rights reserved.

3. SAS and Netezza Partnership
 R&D
 SAS In-database partner
 Several Netezza TwinFin’s at SAS
 SAS Software at Netezza
 Mutual resource investments
 Marketing
 Joint sponsors of annual conferences – Enzee and SAS Global
Forum/M2010
 Sales
 250+ mutual accounts
 60+ SAS Access to Netezza customers
 SAS Scoring Accelerator for Netezza now in production
3
Copyright © 2010, SAS Institute Inc. All rights reserved.

4. SAS Specific Products for Netezza
 SAS® Access to Netezza
 Provides optimized read/write connectivity for Netezza data
appliances
 Allows fast connection to NZ for loading and extracting data to
and from SAS tools & platform, and solutions - connect to
Oracle, DB2, SQL server, and more
 SAS® In-Database
 SAS® Scoring Accelerator for Netezza
» Allows the SAS analytic models to execute inside the
Netezza appliance
» Deploys models quickly, reduces data movement, and
leverages the power of the Netezza appliance
4
Copyright © 2010, SAS Institute Inc. All rights reserved.

5. Joint Business Value Proposition and IT
Value Proposition
Business Value Proposition IT Value Proposition
• Increase Analysts‘ Productivity (not just a fast • Improved governance and data compliance
report) through centralized data
• Reduced data movement and latency
• Fast – find answers quickly through improved
integration • Reduced costs for development and validation
• Flexible – update business processes and • Improved scalability and performance
analysis without requiring IT support
• Lower TCO - greater leverage of existing
• Simple – focus on exploring the business issue investment
- not connectivity and data movement
• Supercharge SAS with Netezza’s high
• Reduced time-to-model implementation performance, scalable scoring
• Leverage existing SAS knowledge and • Effective resource utilization via automatic code
Netezza high-performance generation
• Reduced end-to-end processing time
• Simplified infrastructure to maintain and administer
• SAS Enterprise Miner model development process
is simple and easy to manage
• Score Database more frequently for better results 5
Copyright © 2010, SAS Institute Inc. All rights reserved.

6. SAS and Netezza:
Integration and In-Database Processing
Integration In-Database
SAS Applications are integrated to The ability to embed and use
leverage standard database SAS functions, framework,
features. processes and applications
inside the database.
Examples
Examples
•SAS Format function
•Database Specific SQL
•SAS Scoring functions
•SQL functions
•Predictive Modeling Functions
•Stored Procedures
•Model Development
6
Copyright © 2010, SAS Institute Inc. All rights reserved.

7. SAS and Netezza: Integration
SAS ® Access to Netezza
 Allows SAS to Read/Write Netezza tables directly
 Implicit SQL support which generates Netezza specific SQL
 Supports Explicit SQL support and Pass-Through which
enables more SQL functions to run in-database
 Communicates with Netezza and leverages its utility
capabilities for optimized extracts and loads.
 Some In-Database processing by supporting publishing SAS
Formats into Netezza
7
Copyright © 2010, SAS Institute Inc. All rights reserved.

8. SAS and Netezza: In-Database
SAS ® Scoring Accelerator for Netezza
 SAS ® Scoring Accelerator:
 combines the statistical transformation and modeling methods available in SAS Enterprise
Miner with the scalability and processing speed offered through the database system
 takes the complete scoring model code, the associated property file that contains model
inputs and outputs and a catalog of user-defined formats, and deploys (or publishes) them
within the data warehouse database
 Reduces Overall Costs: By moving the scoring function to the database, the common security,
auditing and administration capabilities offered by the database are honored and leveraged
 Achieve higher model-scoring performance and faster time to results
 Increases Analysts’ productivity
 Improve accuracy and effectiveness of analytic models
 Reduce data movement and latency
 Eliminate model score code rewrite and model re-validation efforts (i.e. labor costs and error
prone)
 Consolidate data to improve regulatory compliance
 Better manage, provision and govern data
 Bottom-line: Takes a SAS Enterprise Miner model and publishes it as a native database
function (in your case a Netezza native function) 8
Copyright © 2010, SAS Institute Inc. All rights reserved.

9. SAS ® Enterprise Miner – What does it do?
 Increase Revenue and/or Reduce Costs = More Profitable
 Three things necessary in order to effectively perform data
mining
 Good historical data
 Strong modeling tool
 A Statistician
 FYI: SAS ® Rapid Predictive Modeler available in:
 SAS ® Enterprise Guide
 SAS Add-in to Microsoft Office (Excel only)
 Bottom-line: modeling tends to be used in order to better understand
customers and as a result be able to be more profitable
9
Copyright © 2010, SAS Institute Inc. All rights reserved.

10. SAS Support on Netezza for Analytics Processing
10
Copyright © 2010, SAS Institute Inc. All rights reserved.

11. Netezza Enabled with SAS Software
Database Connector In-Database Analytics
Analyst P
P Scoring u
u s Analyst
Algorithms & Transforms
ll h
e e
d d
d
f o
r w
o n
m DW
Developer
Scoring Algorithms & Transforms
Recoded Scoring Processes Published to Database as Scoring Processes
11
Page 11
Copyright © 2010, SAS Institute Inc. All rights reserved.

12. Netezza and SAS Connected
Database Connector In-Database Analytics
Analytics Data Extraction
• Base SAS – Proc SQL
DataEnterprise Miner
• SAS Extraction
Server • SQL Pass-Thru Option • SAS Scoring Accelerator for Netezza
• SAS/Access to Netezza
FA FA
ST ST
ER
Data
• SAS/Access to Netezza • SAS Scoring Accelerator for Netezza
Warehouse Data Extraction Data Extraction
• Netezza Database
• Netezza Database
• In-Database Analytics
12
Copyright © 2010, SAS Institute Inc. All rights reserved.

13. Why use SAS and Netezza?
 SAS for Analytic Insight/Solutions
 The Leader in Analytics Software
 SAS provides more analysis options/models with greater functionality
than any other vendor
 Netezza appliances architecturally integrate database, server
and storage into a single, easy to manage system that requires
minimal set-up and ongoing administration.
 Netezza is know for its data warehouse appliance that delivers high
performance out of the box.
 When you combine SAS and Netezza you get both the leader
in analytics and the leader in warehouse appliances working
together to provide the most efficient infrastructure for the
customer to solve business problems
 Bottom Line: Working together SAS and Netezza help to
accelerate your business processes 13
Copyright © 2010, SAS Institute Inc. All rights reserved.

14. Customer Success Story – Marketing Agency
Providing Flexibility in Data Mining
Past Approach In-Database Approach
Modeling data created in Modeling data created in
Warehouse Warehouse
Modeling performed in SAS Modeling performed in SAS
Enterprise Miner Enterprise Miner ABT
Scoring data created and Scoring data created and
aggregated in Warehouse aggregated in Warehouse
SAS Enterprise
Miner
Enterprise Miner Model Enterprise Miner Model
converted to STAT code – PUBLISHED into RDBMS
REGRESSIONS ONLY for use – Scoring
Algorithms available:
•REGRESSION
•DECISION TREE
•NEURAL NETWORK
•GRADIENT BOOST
•PARTIAL LEAST SQUARES
•SUPPORT VECTOR MACHINE Scoring Scored
ABT Data
Data extracted from Data scored in SAS and Scorin
Warehouse remains in Warehouse
g in
Data scored in SAS Wareho
use
Data imported back into SAS
Warehouse Scoring
Accelerator 14
Copyright © 2010, SAS Institute Inc. All rights reserved.

15. Customer Success Story – Propensity to Pay
Providing Performance gains by Refactoring
Flat file Past Approach In-Database Approach
OpSys1 extract • Daily process begins • Daily process begins
OpSys1
with flat file creation at at 4:00am with EDW load.
6:30am – SLA delivered
at ~9:30am.
• File transferred to SQL • All operational data
Server, limited to ~350K loaded directly to EDW. No
customer records based on flat file or intermediate
specific criteria. processing is needed.
SQL SAS
Server Scoring
Accelerator
• 300 step process to • 10 step process
support data mining life • Scoring and customer
Customer cycle. selection done in-database
SAS
Selection against ALL customer rows EDW
30 MINUTES TO SCORE 4 MINUTES TO SCORE
~350k customers ~40M customers
Runs in ~ 3 HOURS Runs in 12 MINUTES
15
Copyright © 2010, SAS Institute Inc. All rights reserved.

16. Contacts & Links
SAS Alliance Netezza, an IBM Company
Kevin Go Tim McCarthy
kevin.go@sas.com tmccar@us.ibm.com
(919) 531-0680 - office (802) 291-0457
Tracye Giles Bernard Doering
tracye.giles@sas.com bernard.doering@de.ibm.com
Links
• Netezza homepage SAS and Netezza Brochure
• SAS homepage
• Netezza partner page for SAS
• SAS Access to Netezza
• SAS In-Database
• SAS Scoring Accelerator for Netezza
• SAS Scoring Accelerator for Netezza Documentation
• SAS In-Database Technology
• BASE SAS Procedures with In-Database processing 16
Copyright © 2010, SAS Institute Inc. All rights reserved.

17. Q/A
More information
 About SAS on Netezza website:
http://www.netezza.com/partners/comp-tech-detail.aspx?CTpid=1043
 SAS to deliver in-database analytic scoring for Netezza platform (press
release):
http://www.sas.com/news/preleases/SASScoringAcceleratorForNetezza.html
 Catalina Marketing gains unparalleled brand traction with SAS® and
Netezza (press release):
http://www.sas.com/news/preleases/CatalinaNetezza.html
 Catalina Marketing helps predict customer behavior with SAS® Enterprise
Miner
http://www.sas.com/success/catalina.html
 Foxwoods Plays a strong hand with SAS and Netezza
http://www.netezza.com/releases/2008/release120808.htm
17
Copyright © 2010, SAS Institute Inc. All rights reserved.

18. Thank You
Company Confidential - For Internal Use Only
Copyright © 2010, SAS Institute Inc. All rights reserved.