You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to: a. Learn more on Big data b. How Big data can help you outperform in your marketplace. c. How to proactively manage security and risk d. How to create IT agility to underpin the business Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.

1. Getting Started with Enterprise Big
Data – From Concept to Reality

2. Four Technologies Help Define the Smarter
Enterprise
CLOUD
COMPUTING
ENTERPRISE
MOBILITY
BIG DATA
ANALYTICS
SOCIAL BUSINESS
Client-centric,
digitally savvy in
its use of cloud,
mobile, social and
big data platforms
to transform
Embraces data in
all forms to apply
analytics, unlock
insight, and make
fact-based
decisions
Creates value in
new ways by
forging deeper
relationships with
clients and
between
employees
Constantly adapts
to changing
market dynamics,
buyer demands
and
disruptive
technologies

3. The number of organizations who see analytics as a
competitive advantage is growing.
63%
2010
business initiative
2011
2012
BUSINESS IMPERATIVE
IQ

4. What’s Changing?:
Big Data & Analytics Is Expanding Quickly
Data is the
world’s
newest resource
Decision-making
extends from few to many
As data value grows,
current systems won’t
keep pace

5. 5

6. Why Act Now?
To outperform in your industry
To proactively manage security
and risk
To create IT agility to underpin
the business

7. Examples of Outstanding Performance Driven
by Big Data and Analytics
Traditional Approach
One size fits all marketing
å
Manual weather forecasting
Slow claims processing
Transformational Outcomes
Personalized, realtime marketing
offers
Real-time,
automated weather
prediction
Intelligent &
accelerated fraud
detection
Monthly risk management
Real-time Risk
Analysis
Just in time maintenance
Predictive
maintenance &
improved uptime

8. To Manage Risk and Create Agility: Embrace All
Data
….Uncertainty of New Information is Growing Alongside its
Complexity
Volume
Data at Scale
Terabytes to
petabytes of data
Variety
Data in Many
Forms
Structured,
unstructured, text,
multimedia
Velocity
Veracity
Data in Motion
Data Uncertainty
Analysis of streaming
data to enable
decisions within
fractions of a second.
Managing the
reliability and
predictability of
inherently imprecise
data types.

9. The Big Data Conundrum
 The economies of deletion have changed….
• Leading us into new opportunities and challenges
• The percentage of available data an enterprise can analyze is decreasing proportionately
to the available to that enterprise
• Quite simply, this means as enterprises, we are getting
“more naive” about our business over time
• Just collecting and storing “Big Data” doesn’t drive a cent
of value to an organization’s bottom line
Data AVAILABLE to
an organization
Data an organization
can PROCESS

10. By 2015, 80% of All Available Data Will Be Uncertain
1 in 3
9000
7000
90
80
6000 70
5000 60
50
4000 40
3000 30
20
2000
Aggregate Uncertainty %
Global Data Volume in Exabytes
8000
10
0
Rising Uncertainty =
Declining Confidence
1 in 2
Lack the information
that they need
We are
here.
Sensors
Internet of
things
Social media
10
Video, Audio and Text
1000
0
Make decisions on
untrustworthy data
VoIP
Enterprise Data
Multiple sources: IDC, Cisco
2005
2015
2010
60%
Have too much data

11. IBM Big Data and Analytics: Helps You Outperform,
Manage Risk and Create IT Agility
CONSULTING and IMPLEMENTATION SERVICES
SOLUTIONS
Sales Marketing Finance
Risk
IT
Operations HR
Watson and Industry Solutions
ANALYTICS
Content
Decision
Analytics
Managemen
t
Business Intelligence and Predictive Analytics
Performance
Management
Risk
Analytics
BIG DATA PLATFORM
Content
Management
Hadoop
System
Stream
Data
Computin
Warehouse
g
Information Integration and Governance
SECURITY, SYSTEMS, STORAGE AND CLOUD
Scale
Management
Parallel
Processing
Low Latency
Resources
Data
Optimization
The Whole is Greater
Than the Sum of the Parts
 Broadest set of capabilities across
big data and analytics
 Pre-integrated components accelerate
value
 Pre-built industry and horizontal
solutions
 Integration and optimization with
storage
and infrastructure
 Delivered in multiple forms: software,
appliance, and cloud
 World-class consulting and
implementation drives innovation and
value

12. Big Data and Analytics Solutions Across
Industries
Banking
Insurance
Telco
Energy &
Utilities
Media &
Entertainment
 Optimizing Offers and
Cross-sell
 360˚ View of Domain
or Subject
 Pro-active Call
Center
 Smart Meter
Analytics
 Business process
transformation
 Customer Service and
Call Center Efficiency
 Catastrophe
Modeling
 Network Analytics
 Distribution Load
Forecasting/Scheduli
ng
 Audience &
Marketing
Optimization
 Fraud & Abuse
 Location Based
Services
 Condition Based
Maintenance
Retail
 Actionable Customer
Insight
 Customer Analytics &
Loyalty Marketing
 Merchandise
Optimization
 Predictive
Maintenance
Analytics
 Dynamic Pricing
Automotive
 Advanced Condition
Monitoring
 Data Warehouse
Optimization
Consumer
Products
Travel &
Transport
Chemical &
Petroleum
 Operational
Surveillance, Analysis &
Optimization
 Data Warehouse
Consolidation,
Integration &
Augmentation
Government
Healthcare

Shelf Availability
 Civilian Services

Promotional Spend
Optimization

 Defense &
Intelligence
 Measure & Act on
Population Health
Outcomes
Merchandising
Compliance
 Tax & Treasury
Services
 Engage Consumers in
their Healthcare
Aerospace &
Defense
Electronics
 Uniform Information
Access Platform
 Customer/ Channel
Analytics
 Data Warehouse
Optimization
 Advanced Condition
Monitoring
Life Sciences
 Increase visibility into
drug safety and
effectiveness

13. Harvest Business Value via Key Business-Driven Use Cases
Enrich Your Information
Base with Big Data
Exploration
Reduction In Time Required
For Analysis
Help Reduce Risk and Prevent
Fraud with
Security and
Intelligence Extension
1,100
99%
Improve Customer
Interaction with
Enhanced 360 View
of the Customer
42TB
Association Publishing Partnerships
Big Data Exploration
Find, visualize, understand
all big data to improve
business knowledge
Real-time Acoustic Data Analyzed
Enhanced 360o View
of the Customer
Security/Intelligence
Extension
Achieve a true unified view,
incorporating internal and
external sources
Lower risk, detect fraud
and monitor cyber security
in real-time
Optimize Infrastructure
and Monetize Data with
Operations Analysis
60K
Metered Customers
in Five States
Gain IT Efficiency and Scale
with Data Warehouse
Augmentation
40X
Gain in Analysis Performance
Operations Analysis
Data Warehouse Augmentation
Analyze a variety of machine
data for improved business results
Integrate big data and data warehouse
capabilities to increase operational efficiency

14. Big Data & Analytics Reference Architecture
Cognitive Computing
Real-time
Analytics
Data in
Motion
Information
Ingestion
and
Operational
Information
Landing Area,
Analytics
Zone
and Archive
Exploration,
Integrated
Warehouse,
and
Mart Zones
Data at
Rest
Information Governance,
Security & Business Continuity
Data in
Many Forms
Real-time Analytics
& Decision Management
DecisionMaking
Planning & Forecasting
Predictive Analytics
& Content Analytics
Reporting, Analysis
& Dashboards
Business
Processes
Data Discovery
& Visualization
Security, Systems, Storage and Cloud
Point of
Interaction

15. Infrastructure Matters to Support
New Big Data & Analytics Architecture
Core infrastructure
capabilities deliver
speed and confidence
Data
Optimization
Low Latency
Parallel
Processing
Scalability
An efficient and agile
infrastructure balances
the needs of different
analytics workloads
Optimal
Infrastructure
Predictive Analytics
Data Warehouse
SCM*
Cores
Text Analytics
Hadoop Workloads
Optimization
Sensitivity
Analysis
Network
Storage
* SCM-Storage Class Memory

16. Delivering Workload Optimized Performance
System for
Transactions
System for
Analytics
For apps like
Order Management
For apps like
Sales Analysis
Database cluster services
optimized for transactional
throughput and scalability
Data warehouse services
optimized for high-speed,
peta-scale analytics and
simplicity
System for
Operational Analytics
System for
Hadoop
For apps like
Real-time
Fraud Detection
For apps like
Big Data
Exploration
Operational data warehouse
services optimized to balance
high performance analytics
and real-time operational
throughput
Hadoop services optimized
for exploration of large
volumes of data with any
type of structure; and as a
queryable archive to
augment traditional data
warehousing

17. Complementary Analytics
Traditional Approach
New Approach
Structured, analytical, logical
Creative, holistic thought, intuition
Data Warehouse
Hadoop and
Streams
Multimedia
Transaction
Data
Web Logs
Internal App
Data
Mainframe
Data
Social Data
Structured
Repeatable
Linear
Unstructured
Exploratory
Dynamic
Sensor data:
images
OLTP System
Data
ERP
Data
RFID
Traditional
Sources
17
Text Data:
emails
New
Sources

18. A Year of Innovation for Big Data & Analytics
AGILE
GOVERNANCE FOR
ALL DATA Single point
Find and
protect
sensitive data
80% faster
monitoring
of security
for
traditional,
NoSQL, and
big data
PERFORMANCE
MANAGEMENT and
BUSINESS INTELLIGENCE
Cognos TM1 with
Mobile
contribution
Deploy on
Cloud, zLinux,
on premise.
Integrated
metrics and
scorecarding
Native mobile
on iOS and
Android
INFRASTRUCTURE
Analytics on
POWER 7-14x
lower TCO
X-86 innovation –
40% better perf
efficiency
System x – open
analytics on Linux
IBM Flash
Systems for low
latency analytics.
Real-time
compression to
access all
relevant data

19. IBM Big Data & Analytics Momentum
40,000
AnalyticsZone.com
Members
1550
30,000
1040
1100
730
170
Big data
Clients
Business
Partners
Big Data
Clients
85
Info Agenda
Engagements
2010
Big Data
Clients
860
Info Agenda
Engagements
2011
10,000
Big Data University
Enrollments
Big Data
Clients
9th
Analytics Solution
Center Opens
in Ohio
GBS Information and
Analytics Engagements
1640
2215
Business
Partners
2,300
Info Agenda
Engagements
40,000
Big Data University
Enrollments
Business
Partners
3,810
Info Agenda
Engagements
2012
Source: IBM. Note: All numbers used are cumulative.
3/31/2013
101,000
Big Data University
Enrollments
2013

20. 2013 Gartner Magic Quadrant – IBM
Jumps Ahead
20

21. IBM Is Helping Address the Analytics Skills
Gap

New technologies designed for business users

IBM AnalyticsZone to download and
experiment with software

Big Data University with robust curriculum

Big Data Stampede for accelerated value

Partnering with major universities globally

On-line resource centers & books written by
IBM thought leaders

22. How to Get Started
1. Build a culture that infuses analytics everywhere
Develop a curiosity-driven and evidence-inspired workforce
2. Be proactive about privacy, security and governance
Forward-thinking approaches to maximize impact while balancing risk
3. Invest in a Big Data & Analytics platform
Build to master plan: all data, all analytics, full range of business outcomes

23. NO OTHER VENDOR
can make this statement
IBM delivers a governable,
consumable Big Data platform
that’s steeped in analytics for data
in-motion and data at-rest.

24. © Copyright IBM Corporation 2013 All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without
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