IBM Solutions Connect 2013 - Getting started with Big Data

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.