1) IBM's PureSystems are expert integrated systems that simplify IT challenges around big data by capturing built-in expertise and deeply integrating hardware and software. 2) PureSystems deliver greater simplicity, speed, and lower cost across the entire IT lifecycle from design to deployment to management through pre-integration and automation. 3) The PureData System delivers optimized data platforms and services for transactions, analytics, and operational analytics workloads through scale-out clusters of DB2, Netezza, and other technologies.

1. Addressing Big Data Challenges with
IBM PureSystems
Don Boulia
Vice President Strategy, Software Group
IBM

2. Technology is the leading force for impacting business
Factors impacting organizations
1. Technology factors
2. People skills
3. Market factors
4. Macro-economic factors
5. Regulatory concerns
6. Globalization
Source: IBM CEO Study 2012
Source: IBM CEO Study 2012
71% of CEOs identify technology as the most
important external force impacting their organizations*

3. Is IT ready for the challenge?
2013
1996
29% 68%
68% of IT Only 1 in 5
operating costs in 2013 will be for organizations allocate more than
management and administration 50% of IT budget to new projects
* IDC; Converged Systems: End-User Survey Results presentation;
* 2012 IBM Global Data Center Study
September 2012; Doc #236966

4. It is time for a new class of expert integrated systems
Built-in Expertise Integration by Design
Capturing and automating Deeply integrating and tuning
what experts do hardware and software
Simplified Experience
Making every part of the IT lifecycle easier

5. PureSystems deliver greater simplicity, speed & lower cost
Today’s problem: Time and effort is spent tuning general purpose components
Design / Deploy Manage / Maintain
General Purpose Custom Built
Components System
The PureSystems solution: simplifies the entire IT project lifecycle
Reduced Time, Cost and Risk
Expert Integrated System

6. PureSystems simplify each phase of the systems lifecycle
Streamlined: Accelerated: Simplified: Integrated:
 Pre-integrated,  System up and  Fully integrated  System level updates
pre-tested, running in hours management and upgrades
ready to run
Patterns of expertise

7. Platform as a Service
 Virtualization
 Service level management
 Dynamic resource scalability
 Highly standardized infrastructure
 Automated provisioning of IT resources
Infrastructure as a Service
 Multi-tenancy
 User-based self-service
 Usage-based reporting
 Catalog of services
Infrastructure Application Platform
Delivering Infrastructure Services Delivering Platform Services

8. Infrastructure Platform Application Platform Data Platform
Delivering Infrastructure Services Delivering Platform Services Delivering Data Services

9. • Select model
– for Transactions
– for Analytics
– for Operational Analytics
• Select size
• Load data
Data Platform
Delivering Data Services

10. Today’s big data challenges are increasing demands
on data systems
Increasing 50x
Mobile 35 ZB
Volume of data by 2020
requires growing capacity 2010 2020
Cloud
Increasing Millions of
Velocity of data transactions
Social
per second
requires higher performance
Big Data
Analytics Increasing Billions of
Variety of data devices &
sensors
Commerce requires new techniques

11. Different applications rely on different data processing
E-commerce Customer Analysis Real Time Fraud Detection
Transaction Processing Reporting and Analytics Operational Analytics

12. Different data workloads require different solutions
Scalable Transactional Database
Transaction Processing Reporting and Analytics Operational Analytics

13. for Transactions
Optimized system delivering
data services for transactions
for Analytics
Optimized system delivering
data services for analytics
for Operational Analytics
Optimized system delivering
data services for operational analytics

14. Clients are realizing the value of PureData capabilities
Transactions DB2 cluster provides advantages over competition
 Lower cost payment routing improves competitiveness
A global leader in  Easily handles transaction volumes during shopping peaks
payment-processing  Extremely high availability at the required scale
Analytics “NYSE … has replaced an Oracle relational database with a data
warehousing appliance from Netezza, allowing it to conduct rapid
searches of 650 terabytes of data.”
ComputerWeekly.com
Operational Analytics Operational Data Warehouse handles 80 million Tx/day
 Supports fraud assessment, customer care & SAS analytics
A leading global  >2500 avg. concurrent users
credit card provider  >5TB loaded per day – including throughout peak hours

15. Smart consolidation of application and data services
Real Time
Next best offer E-commerce Order Credit card Customer
Fraud
Coupon Catalog & Cart management management Analysis
Detection
Analytics & Transactional Transactional Analytic
Applications Data Services Data Services
PureApplication PureData System
System for for for
Transactions Analytics Operational Analytics

16. Growing ecosystem with 60+ PureData partners

17. Delivering the value of expert integrated systems
Infrastructure Application Platform Data Platform
Delivering Infrastructure Services Delivering Platform Services Delivering Data Services

18. © International Business Machines Corporation 2012
International Business Machines Corporation New Orchard Road Armonk, NY 10504
IBM, the IBM logo, PureSystems, PureFlex, PureApplication, PureData and ibm.com are trademarks of International Business Machines
Corporation, registered in many jurisdictions worldwide.
A current list of IBM trademarks is available on the Web at www.ibm.com/legal/copytrade.shtml
All rights reserved.

19. Addressing Big Data Challenges with
IBM PureSystems