1. Build a Big Data Strategy
Gain Insight and Make Decisions
Joel Waterman
waterman@ae.ibm.com

2. 2
3
4
Five compelling big data use cases
IBM’s unique value for client success
Recommendations on how to get started
Agenda for today
IBM’s viewpoint on big data and analyticsIBM’s viewpoint on big data and analytics1
© 2013 IBMCorporation2

3. PRETTIER

4. Big data has been around for a while
© 2013 IBMCorporation4

5. PRETTIER

6. Agenda for today
3
4
Five compelling big data use cases
IBM’s unique value for client success
Recommendations on how to get started
IBM’s viewpoint on big data and analytics
Five compelling big data use cases
1
2
© 2013 IBMCorporation6

7. Mobily selects IBM campaign
management and predictive
analytics to combat churn
Need
 Quicker GTM
 Decrease customer churn
 Increase ARPU
Benefits
 Increased Offer Acceptance Rates
 Higher Service Levels
 Competitive cross sell offers
 Single view across sales channels
© 2013 IBMCorporation7

8. Nedbank monitors social media to
gain competitive advantage
Need
 Understand social media sentiments
 Integrated system to be used by in house
social call center
Benefits
 Change in business process
 More personal and personable response
 Switching opportunities
 Easy to use software
© 2013 IBMCorporation8

9. Ufone reduced churn and kept
subscribers happy, helping ensure
that campaigns are highly effective
and timely
Need
 Ensure marketing campaigns targeting
the right customers before they leave
 Keep higher usage customers happy with
campaigns offering right services/plans
Benefits
 Improve campaign response rate from
about 25% to at least 50%
 CDRs analyzed < 30 sec (vs 1 day)
 Reduce churn by approximately 15-20%
© 2013 IBMCorporation9

10. Dubai Statistics Center
Delivering insights to policy-makers faster
and more frequently
Need
With Dubai’s population growing rapidly and
more businesses looking to invest in the
region, DSC wanted the ability to publish its
data more frequently and broaden access to
the statistics it provides
Benefits
 >200 Users from >50 Agencies can
access the data
 Monthly automated updates to statistical
data allows for more accurate decision
making
© 2013 IBMCorporation10

11. Why BOEING does BI
Need
 Connect people across many remote
locations
 Compress reporting timelines
 Gain new insights across all data sources
Benefits
 Internal 'Customer' Self Service
 Proven, enterprise-class capabilities that
can be deployed quickly and are simpler
to manage
 Single year ROI (estimated 10:1 ratio !)
© 2013 IBMCorporation11

12. Every Industry can Leverage Big Data & Analytics
Insurance
• 360˚ View of Domain
or Subject
• Catastrophe Modeling
• Fraud & Abuse
Banking
• Optimizing Offers and
Cross-sell
• CustomerService andCall
CenterEfficiency
Telco
• Pro-active Call Center
• Network Analytics
• LocationBasedServices
Energy &
Utilities
• Smart MeterAnalytics
• DistributionLoad
Forecasting/Scheduling
• Condition Based
Maintenance
Media &
Entertainment
• Business process
transformation
• Audience & Marketing
Optimization
Retail
• Actionable Customer
Insight
• Merchandise
Optimization
• Dynamic Pricing
Travel&
Transport
• Customer Analytics &
LoyaltyMarketing
• Predictive Maintenance
Analytics
Consumer
Products
• ShelfAvailability
• Promotional Spend
Optimization
• Merchandising
Compliance
Government
• CivilianServices
• Defense & Intelligence
• Tax & TreasuryServices
Healthcare
• Measure & Act on
PopulationHealth
Outcomes
• Engage Consumers intheir
Healthcare
Automotive
• AdvancedCondition
Monitoring
• Data Warehouse
Optimization
Life Sciences
• Increase visibilityinto drug
safetyandeffectiveness
Chemical&
Petroleum
• Operational Surveillance,
Analysis& Optimization
• Data Warehouse
Consolidation, Integration&
Augmentation
Aerospace&
Defense
• Uniform Information
Access Platform
• Data Warehouse
Optimization
Electronics
• Customer/ Channel
Analytics
• AdvancedCondition
Monitoring

13. Agenda for today
© 2013 IBMCorporation13
4
Five compelling big data use cases
IBM’s unique value for client success
Recommendations on how to get started
IBM’s viewpoint on big data and analytics
IBM’s unique value for client success
1
2
3
© 2013 IBMCorporation13

14. IBM Big Data & Analytics Momentum
1100Business
Partners
1640Business
Partners
2215Business
Partners
9thAnalyticsSolution
Center Opens
in Ohio
170Big data Clients
85Info Agenda
Engagements
730Big Data Clients
860Info Agenda
Engagements
1040Big Data Clients
2,300Info Agenda
Engagements
1550Big Data Clients
Source: IBM. Note: Allnumbersusedare cumulative.3/31/2013
30,000GBS Information and
AnalyticsEngagements
3,810Info Agenda
Engagements
10,000Big DataUniversity
Enrollments
40,000Big DataUniversity
Enrollments
70,000
Big DataUniversity
Enrollments
2010 2011 2012 2013
40,000AnalyticsZone.com
Members

15. IBM - holistic and integrated approach to big data and analytics
Smarter Analytics
Data Warehouse
Big Data Platform
Accelerators
Stream
Computing
Data
Warehouse
Hadoop
System
Information Integration and Governance
Application
Development
DiscoverySystems
Management
Content
Management
Data
Warehouse
Stream
Computing
Hadoop System
InformationIntegrationandGovernance
BIG DATA PLATFORM
SYSTEMS,STORAGE AND CLOUD
ANALYTICS
Content
Analytics
Decision
Management
Risk
Analytics
Performance
Management
BusinessIntelligenceandPredictive Analytics
Big Data Analytics
Content
Analytics
Predictive
Analytics
Decision
Management
Social Media
Analytics
Analytics Integration and Governance

16. © 2013 IBMCorporation16
Agenda for today
Five compelling big data use cases
IBM’s unique value for client success
Recommendations on how to get started
IBM’s viewpoint on big data and analytics
Recommendationson how to get started
1
2
3
4

17. Fuel all decision-making with powerful Analytics
Content and text
analytics
Entity and
predictive analytics
Trend, pattern and
temporaldeviation
Natural language
processing Specialized
visualizations
Reporting & Analysis
Operational Systems
Systems of Engagement
Model Development
Data
Media
Content
Machine
Social
Result Sets
Real-time Scoring
Decision Management
Find what is relevant Inform and automate
Social network analytics
expert
intermediate
novice

18. Broaden Analytics Adoption without Silos
Unified analytics
Data
Media
Content
Machine
Social
Consistent analytics
authoring
Unified
workspace
Centralized management
Unified
data access

19. Customer
next best action
Asset
predictiveasset
optimization
Fraud
anti-fraud,waste,
andabuse
Accelerate business value with solutions
Analytic skills
Marketplace
experience
Innovation
Products
Social
SocialMediaAnalytics

20. 2 New Upgrades = Foundation of your Analytics strategy
2x
faster Dynamic Cube
performance
25%
improvement in batch
execution
20%+
faster interactive
response time
10x
more data in
Active Reports
1/3 of
Price
compared to Oracle
6x
faster Burst execution
3x
faster mobile report
retrieval & execution
18x
Faster Cube Load
20x
Faster Db Query
10-15x
Improvements not uncommon

21. IBM DB2 BLU
IBM COGNOS 10.2.1

22. QuickStart + Fixed Price Services = Accelerate your Analytics strategy
- Operational Risk Management Implementation
- Enterprise Reporting and Disclosure Management QuickStart
- Business Intelligence QuickStart
- Financial Close and Consolidation Implementation
- Enterprise Planning Health Check
- Social Media Analytics JumpStart
- Predictive Maintenance and Quality Solution Implementation
- IBM Cognos Planning Migration to TM1 Assessment

23. Forums,Training, Examples,
and more!
? !
.com
Download
software
Forums,Training, Examples,and
more!
?
!
.com

24. Read a
white
paper

25. Watch a
movie
http://tinyurl.com/ba-ibm-movies