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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 analytics IBM’s viewpoint on big data and analytics 1
© 2013 IBM Corporation 2
PRETTIER
Big data has been around for a while
© 2013 IBM Corporation 4
PRETTIER
Agenda for today
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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
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© 2013 IBM Corporation 6
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 IBM Corporation 7
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 IBM Corporation 8
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 IBM Corporation 9
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 IBM Corporation 10
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 IBM Corporation 11
Every Industry can Leverage Big Data & Analytics
Insurance
• 360˚ View of Domain or Subject
• Catastrophe Modeling
• Fraud & Abuse
Banking
• Optimizing Offers and Cross -sell
• Customer Service and Call Center Efficiency
Telco
• Pro-active Call Center
• Network Analytics
• Location Based Services
Energy & Utilities
• Smart Meter Analytics
• Distribution Load Forecasting/Scheduling
• Condition Based Maintenance
Media & Entertainment
• Bus iness process transformation
• Audience & Marketing Optimization
Retail
• Actionable Customer
Ins ight
• Merchandise Optimization
• Dynamic Pricing
Travel & Transport
• Customer Analytics &
Loyal ty Marketing
• Predictive Maintenance Analytics
Consumer Products
• Shel f Availability
• Promotional Spend Optimization
• Merchandising Compl iance
Government
• Civi l ian Services
• Defense & Intelligence
• Tax & Treasury Services
Healthcare
• Measure & Act on
Population Health Outcomes
• Engage Consumers in their Healthcare
Automotive
• Advanced Condition
Monitoring
• Data Warehouse Optimization
Life Sciences
• Increase visibility into drug
safety and effectiveness
Chemical & Petroleum
• Operational Surveillance,
Analysis & Optimization
• Data Warehouse Consolidation, Integration & Augmentation
Aerospace & Defense
• Uniform Information Access Platform
• Data Warehouse Optimization
Electronics
• Customer/ Channel
Analytics
• Advanced Condition Monitoring
Agenda for today
© 2013 IBM Corporation 13
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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
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© 2013 IBM Corporation 13
IBM Big Data & Analytics Momentum
1100 Business Partners
1640 Business Partners
2215 Business Partners
9th Analytics Solution
Center Opens in Ohio
170 Big data Clients 85
Info Agenda Engagements
730 Big Data Clients
860 Info Agenda Engagements
1040 Big Data Clients
2,300 Info Agenda Engagements
1550 Big Data Clients
Source: IBM. Note: All numbers used are cumulative. 3/31/2013
30,000 GBS Information and
Analytics Engagements
3,810 Info Agenda Engagements
10,000 Big Data University Enrollments
40,000 Big Data University Enrollments
70,000 Big Data University Enrollments
2010 2011 2012 2013
40,000 AnalyticsZone.com Members
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
Discovery Systems Management
Content Management
Data Warehouse
Stream Computing
Hadoop System
Information Integration and Governance
BIG DATA PLATFORM
SYSTEMS, STORAGE AND CLOUD
ANALYTICS
Content Analytics
Decision Management
Risk Analytics
Performance Management
Business Intelligence and Predictive Analytics
Big Data Analytics Content Analytics
Predictive Analytics
Decision Management
Social Media Analytics
Analytics Integration and Governance
© 2013 IBM Corporation 16
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
Recommendations on how to get started
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Fuel all decision-making with powerful Analytics
Content and text analytics
Entity and predictive analytics
Trend, pattern and temporal deviation
Natural language processing Specialized
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Social
Result Sets
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Find what is relevant Inform and automate
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intermediate
novice
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- IBM Cognos Planning Migration to TM1 Assessment
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