This document discusses big data and analytics and its value proposition. It outlines the 4 V's of big data - volume, variety, velocity and veracity. It then discusses how big data and analytics can be leveraged across different industries to drive key business imperatives like acquisition, personalization, profitability and retention. It also outlines 5 key analytical use cases and 5 key operational use cases for big data and analytics. Finally, it emphasizes the need to be proactive about privacy, security, governance and building a culture that infuses analytics.

1. © 2013 IBM Corporation
Big Data & Analytics
The Value Proposition

2. © 2014 IBM Corporation2
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
Volume Variety Velocity Veracity

3. © 2014 IBM Corporation3
• Acquisition
• Personalization
• Profitability
• Retention
Acquire, grow,
retain
customers
Optimize
operations;
counter fraud
& threats
Maximize
insight, ensure
trust, improve
IT economics
Transform
management
processes
Create new
business
models
• Business
process
operations
• Infrastructure &
asset efficiency
• Counter fraud
• Public safety &
defense
• Harness and
analyze all data
• Enable full
spectrum of
analytics
• Govern &
protect all data
• Optimize Big
Data & Analytics
infrastructure
• Planning &
performance
management
• Disclosure
management &
financial close
• Incentive
compensation
management
• Human capital
management
• Data-driven
products
and services
• Non-traditional
partnerships
• Mass
experimentation
Manage
risk
• Risk adjusted
performance
• Financial risk
• Operational
risk
• Financial
crimes
• IT risk &
security
Insight Drives Key Business Imperatives

4. © 2014 IBM Corporation4
Imagine It.
Every Industry can Leverage Big Data and 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
• Business process
transformation
• Audience & Marketing
Optimization
Retail
• Actionable Customer
Insight
• Merchandise
Optimization
• Dynamic Pricing
Travel &
Transport
• Customer Analytics &
Loyalty Marketing
• Predictive Maintenance
Analytics
Consumer
Products
• Shelf Availability
• Promotional Spend
Optimization
• Merchandising
Compliance
Government
• Civilian 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

5. © 2014 IBM Corporation5
Big Data Exploration
Find, visualize, understand all big
data to improve decision making
Enhanced 360o View of the Customer
Extend existing customer views (MDM,
CRM, etc) by incorporating additional
internal and external information sources
Operations Analysis
Analyze a variety of machine data
for improved business results
Data Warehouse Augmentation
Integrate big data and data warehouse
capabilities to increase operational
efficiency
Security/Intelligence Extension
Lower risk, detect fraud and monitor
cyber security in real-time
The 5 Key Analytical Use Cases

6. © 2014 IBM Corporation6
Efficient Application Development
& Testing
Create and maintain right-sized dev,
test & training environments
Enhanced 360o View of the Customer
Extend existing customer views (MDM,
CRM, etc) by incorporating additional
internal and external information sources
Security and Compliance
Protect data, improve data integrity,
mitigate breach risks and lower
compliance costs.
Application Consolidation and Retirement
Archive old application data and streamline
new application deployment
Improve Application Efficiency
Manage data growth, improve
performance, and lower the cost for
mission-critical applications
The 5 Key Operational Use Cases

7. © 2014 IBM Corporation7
Big Data & Analytics is a journey.
Be proactive
about privacy,
security and
governance
Build a culture
that infuses
analytics
everywhere
Invest in a
big data &
analytics
platform
ImagineIt. RealizeIt. Trust It.

8. © 2014 IBM Corporation8