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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.
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Getting Started with Enterprise Big Data – From Concept to Reality
Constantly adapts
to changing market dynamics, buyer demands and disruptive technologies
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
Four Technologies Help Define the Smarter Enterprise
BIG DATAANALYTICS
SOCIAL BUSINESS
ENTERPRISEMOBILITY
CLOUD COMPUTING
business initiative
BUSINESS IMPERATIVE
The number of organizations who see analytics as a competitive advantage is growing.
2010 2011 2012
63%
70%
IQ
57%
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
Why Act Now?To outperform in your industry
To proactively manage security and risk
To create IT agility to underpin the business
Examples of Outstanding Performance Driven by Big Data and Analytics
å
Just in time maintenance
One size fits all marketing
Traditional Approach Transformational Outcomes
Slow claims processing
Real-time, automated weather prediction
Personalized, real-time marketing offers
Predictive maintenance & improved uptime
Real-time Risk Analysis
Monthly risk management
Manual weather forecasting
Intelligent & accelerated fraud detection
To Manage Risk and Create Agility: Embrace All Data ….Uncertainty of New Information is Growing Alongside its Complexity
Volume Variety Velocity Veracity
Data at ScaleTerabytes topetabytes of data
Data in Many FormsStructured, unstructured, text, multimedia
Data in MotionAnalysis of streaming data to enable decisions within fractions of a second.
Data UncertaintyManaging the reliability and predictability of inherently imprecise data types.
Data AVAILABLE to an organization
Data an organization can PROCESS
The Big Data Conundrum
Signalsand
Noise001100110010010101001010011110010010110101101000100100010001010011110010001001000100100011001000100100010010001010001001000
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
9
By 2015, 80% of All Available Data Will Be Uncertain
Glo
bal D
ata
Volu
me
in E
xaby
tes
Multiple sources: IDC, Cisco
100
90
80
70
60
50
40
30
20
10
Aggr
egat
e U
ncer
tain
ty %
9000
8000
7000
6000
5000
4000
3000
2000
1000
0 2005 2010
2015
Sensors
Enterprise DataVoIP
Social media
Internet of things
Video, Audio and Text
Rising Uncertainty = Declining Confidence
1 in 3Make decisions onuntrustworthy data
1 in 2Lack the information
that they need
60%Have too much data
We are here.
We are here.
IBM Big Data and Analytics: Helps You Outperform, Manage Risk and Create IT Agility
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
The Whole is Greater Than the Sum of the PartsCONSULTING and IMPLEMENTATION SERVICES
Performance Management
Content Analytics
Decision Managemen
t
Risk Analytics
Business Intelligence and Predictive Analytics
ANALYTICS
Information Integration and Governance
BIG DATA PLATFORMContent
ManagementData
WarehouseStream
Computing
Hadoop System
Sales Marketing Finance Risk IT Operations HR
SOLUTIONS
Watson and Industry Solutions
SECURITY, SYSTEMS, STORAGE AND CLOUD
Scale Management
DataOptimization
Low Latency Resources
ParallelProcessing
Big Data and Analytics Solutions Across Industries
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
Operations AnalysisAnalyze a variety of machine
data for improved business results
Data Warehouse AugmentationIntegrate big data and data warehouse
capabilities to increase operational efficiency
Big Data ExplorationFind, visualize, understand
all big data to improve business knowledge
Enhanced 360o Viewof the Customer
Achieve a true unified view, incorporating internal and
external sources
Security/Intelligence Extension
Lower risk, detect fraud and monitor cyber security
in real-time
Harvest Business Value via Key Business-Driven Use Cases
Enrich Your Information Base with Big Data Exploration
Reduction In Time Required For Analysis
99%
Improve Customer Interaction with Enhanced 360° View of the Customer
Association Publishing Partnerships1,100
Help Reduce Risk and Prevent Fraud with Security and Intelligence Extension
Real-time Acoustic Data Analyzed42TB
Optimize Infrastructure and Monetize Data with Operations Analysis
Metered Customers in Five States
60K
Gain IT Efficiency and Scale with Data Warehouse Augmentation
Gain in Analysis Performance40X
Big Data & Analytics Reference Architecture
Data inMotion
Data inMany Forms
Data at
Rest
Information Ingestion
and Operational Information
Landing Area,Analytics
Zoneand Archive
Exploration,Integrated
Warehouse, and
Mart Zones
Real-timeAnalytics Decision-
Making
Business Processe
s
Point of Interactio
n
Information Governance, Security & Business Continuity
Security, Systems, Storage and Cloud
Cognitive Computing
Real-time Analytics& Decision Management
Planning & Forecasting
Predictive Analytics& Content Analytics
Reporting, Analysis& Dashboards
Data Discovery& Visualization
Infrastructure Matters to Support New Big Data & Analytics Architecture
Scalability Parallel Processing
Low LatencyData
Optimization
Predictive Analytics
Data WarehouseText AnalyticsHadoop Workloads
OptimizationSensitivity Analysis
Cores SCM*
StorageNetwork
OptimalInfrastructureAn efficient and agile
infrastructure balances the needs of different analytics workloads
Core infrastructure capabilities deliver speed and confidence
* SCM-Storage Class Memory
Delivering Workload Optimized Performance
System for Transactions
System for Analytics
System for Operational Analytics
For apps like Order ManagementDatabase cluster services optimized for transactional throughput and scalability
For apps like Sales AnalysisData warehouse services optimized for high-speed, peta-scale analytics and simplicity
For apps like Real-time Fraud DetectionOperational data warehouse services optimized to balance high performance analytics and real-time operational throughput
System for Hadoop
For apps like Big DataExplorationHadoop services optimized for exploration of large volumes of data with any type of structure; and as a queryable archive to augment traditional data warehousing
Complementary Analytics
17
Traditional ApproachStructured, analytical, logical
New ApproachCreative, holistic thought, intuition
Multimedia
Data Warehouse
Web Logs
Social Data
Sensor data:images
RFID
Internal AppData
TransactionData
MainframeData
OLTP System Data
Traditional Sources
ERP Data
StructuredRepeatable
Linear
UnstructuredExploratory
Dynamic
Text Data:emails
Hadoop andStreams
NewSources
A Year of Innovation for Big Data & Analytics
Find and protect sensitive data
80% faster monitoring
PERFORMANCE MANAGEMENT and BUSINESS INTELLIGENCE
AGILE GOVERNANCE FOR ALL DATA Single point
of security for traditional, NoSQL, and big data
Cognos TM1 with Mobile contribution
Integrated metrics and scorecarding
Deploy on Cloud, zLinux, on premise.
Native mobile on iOS and Android
INFRASTRUCTUREAnalytics 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
IBM Big Data & Analytics Momentum
Source: IBM. Note: All numbers used are cumulative. 3/31/2013
1100 Business Partners
1640Business Partners
2215Business Partners
9thAnalytics Solution
Center Opens in Ohio
170Big data
Clients85Info Agenda Engagements
730Big Data Clients
860Info Agenda
Engagements
1040 Big Data Clients
2,300Info Agenda
Engagements
1550Big Data Clients30,000
GBS Information and Analytics Engagements
3,810Info Agenda
Engagements
10,000 40,000 101,000
2010 2011 2012 2013
40,000AnalyticsZone.com
Members
Big Data University Enrollments
Big Data University Enrollments
Big Data University Enrollments
2013 Gartner Magic Quadrant – IBM Jumps Ahead
20
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
How to Get Started
1. Build a culture that infuses analytics everywhere
2. Be proactive about privacy, security and governance
3. Invest in a Big Data & Analytics platform
Develop a curiosity-driven and evidence-inspired workforce
Forward-thinking approaches to maximize impact while balancing risk
Build to master plan: all data, all analytics, full range of business outcomes
IBM delivers a governable, consumable Big Data platform
that’s steeped in analytics for data in-motion and data at-rest.
NO OTHER VENDOR can make this statement
© 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 warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. IBM, the IBM logo, Cognos, the Cognos logo, and other IBM products and services are trademarks of the International Business Machines Corporation, in the United States, other countries or both. Other company, product, or service names may be trademarks or service marks of others.