Building Confidence in Big Data - IBM Smarter Business 2013

19
© 2013 IBM Corporation Building Confidence in Big Data David Corrigan Director of Product Marketing, InfoSphere, IBM

description

Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se

Transcript of Building Confidence in Big Data - IBM Smarter Business 2013

Page 1: Building Confidence in Big Data - IBM Smarter Business 2013

© 2013 IBM Corporation

Building Confidence in Big Data

David CorriganDirector of Product Marketing, InfoSphere, IBM

Page 2: Building Confidence in Big Data - IBM Smarter Business 2013

2 IBM Confidential

“Data is the New Oil”

2

“We have for the first time an economy based on a key resource [Information] that is not only renewable, but self-generating. Running out of it is not a problem,

but drowning in it is.”– John Naisbitt

Harvesting any resource requires Mining, Refining and Delivering

Big Data is the next Natural Resource

Page 3: Building Confidence in Big Data - IBM Smarter Business 2013

The Era of Big Data Demands Confidence

Volume Variety Velocity Veracity

Data at ScaleTerabytes to

petabytes 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.

Page 4: Building Confidence in Big Data - IBM Smarter Business 2013

Success With Big Data Comes Down to Confidence

…Before you acton insight

…Before you start a big data project

…To maximize thevalue from big data

Confidence in Your Data

Confidence in Accelerating

Value

Confidence in Your Skills

Page 5: Building Confidence in Big Data - IBM Smarter Business 2013

IBM’s Latest Innovations Build Big Data Confidence

InfoSphere Integration & Governance

for Big Data

PureData System for Hadoop

Big Data Stampede

• Automated integration

• Visual context to understand data

• Agile governance to protect sensitive big data

Confidence in your Data

• Appliance simplicity for Hadoop systems

• Appliance speed - Get up and running in hours

Confidence in Accelerating Value

• All the resources needed to get value from big data quickly

• Software, expertise and skills

Confidence in your Skills

Page 6: Building Confidence in Big Data - IBM Smarter Business 2013

IBM’s Big Data PlatformA Holistic and Integrated Approach to Big Data & Analytics

CONSULTING and IMPLEMENTATION SERVICES

Performance Management

Content Analytics

Decision Management

Risk Analytics

Business Intelligence and Predictive Analytics

ANALYTICS

Information Integration and Governance

BIG DATA PLATFORMContent

ManagementData

WarehouseStream

ComputingHadoop System

SECURITY, SYSTEMS, STORAGE AND CLOUD

Sales Marketing Finance Risk IT Operations HR

SOLUTIONS

Watson and Industry Solutions

CONSULTING and IMPLEMENTATION SERVICES

Performance Management

Content Analytics

Decision Management

Risk Analytics

Business Intelligence and Predictive Analytics

ANALYTICSPerformance Management

Content Analytics

Decision Management

Risk Analytics

Business Intelligence and Predictive Analytics

ANALYTICS

Information Integration and Governance

BIG DATA PLATFORMContent

ManagementData

WarehouseStream

ComputingHadoop System

SECURITY, SYSTEMS, STORAGE AND CLOUD

Sales Marketing Finance Risk IT Operations HR

SOLUTIONS

Watson and Industry Solutions

Sales Marketing Finance Risk IT Operations HR

SOLUTIONS

Watson and Industry Solutions • Broadest set of capabilities across big data and analytics

• Pre-integrated components accelerate time to value

• Pre-built industry and horizontal solutions

• Delivered in multiple forms: software, appliance, and cloud

• Only vendor with embedded integration & governance capabilities

The Whole is Greater Than the Sum of the Parts

Page 7: Building Confidence in Big Data - IBM Smarter Business 2013

Astron uses streaming analytics to deliver insight from the world’s largest radio telescope

Need

• The institute needed to develop a resource- and energy-efficient way for astronomers to analyze an unprecedented amount of unstructured data from what is designed to become the largest radio telescope ever built

Benefits

• Accelerates the identification of relevant images and data by approximately 99%, making the information available to astronomers in minutes as opposed to several days

• Integrates data from more than 3,000 dishes and antennas that make up the largest and fastest radio telescope in the world

77 Home

Page 8: Building Confidence in Big Data - IBM Smarter Business 2013

By 2015, 80% Of All Available Data Will Be UncertainG

loba

l Dat

a Vo

lum

e in

Exa

byte

s

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 Data

VoIP

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

Page 9: Building Confidence in Big Data - IBM Smarter Business 2013

Innovations in Information Integration and Governance

VisualContext

Agile Governance

Automated Integration

Information Governance DashboardImmediate, visual context for critical decisions Understand big data to leverage it better

InfoSphere Privacy & SecurityFind and protect sensitive big dataSingle point of security for traditional, NoSQL & big data

InfoSphere Data ClickSelf-service access to a growing variety of big data in traditional, NoSQL and Hadoop sources

2 ClickData

Integration

170xFaster

Imports

80%Faster

Monitoring

Page 10: Building Confidence in Big Data - IBM Smarter Business 2013

Clients Maximize Value from Data Confidence

Improve DecisionsAct on Insight Mitigate Risk

Visual Context Agile GovernanceAutomated Integration

100%Reduced time

to deliver reports

95%Time reductionIn Information

gathering

72%Reduction inFraudulent

Claims

Page 11: Building Confidence in Big Data - IBM Smarter Business 2013

Let’s Simplify Big Data: Announcing IBM PureData System for Hadoop

Designed to:• Simplify the building,

deploying and management of a Hadoop cluster

• Speed the time-to-value for Hadoop and unstructured data

• Maximize the overall analytic ecosystem

• Provide enterprise security and platform management

Flume

Jaql

Hive

Pig

MapReduceHDFS

Zookeeper

Oozie

HBase

Lucene

Sqoop

HCatalog

Hadoop

Visualization

Development Tools

Admin & Security

Network

1Based on IBM internal testing and customer feedback. "Custom built clusters" refer to clusters that are not professionally pre-built, pre-tested and optimized. Individual results may vary.

Deploy

8xFaster1

Page 12: Building Confidence in Big Data - IBM Smarter Business 2013

Benefits of IBM PureData System for Hadoop

1Based on IBM internal testing and customer feedback. "Custom built clusters" refer to clusters that are not professionally pre-built, pre-tested and optimized. Individual results may vary.2Based on current commercially available Big Data appliance product data sheets from large vendors. US ONLY CLAIM.

Accelerate Big Data Time to Value

Simplify Big DataAdoption & Consumption

Implement Enterprise-Class Big Data

• Deploy 8x Fasterthan custom-built solutions1

• Built-in Visualizationto accelerate insight

• Built-in Analytic Accelerators2

unlike big data appliances on the market

• Single System Consolefor full system administration

• Rapid Maintenance Updates with automation

• No Assembly Required data load ready in hours

• Only Integrated Hadoop Systemwith Built-in Archiving Tools2

• Delivered with More Robust Securitythan open source software

• Architected for High Availability

Page 13: Building Confidence in Big Data - IBM Smarter Business 2013

PureData for Hadoop Accelerates Big Data Use Cases

• Aggregation of data

• Ad-hoc analysis

• Simple analytics/exploration

• Explore new data

• Visualize with easy, spreadsheet-style analysis

• Identify useful information and move to other systems

• Immediate storagealternative of cold data

• Cost savings for cold data

• Simple analytics/exploration

PureData System for Analytics

PureData System for HadoopPureData

System for

Hadoop

PureData System

for Analytics

Page 14: Building Confidence in Big Data - IBM Smarter Business 2013

Introducing Big Data Stampede:Leading the Charge for Big Data Success

IBM Expertise Big Data Platform Skills & Knowledge TransferEnsures client self sufficiency and big data capabilities

Removes the guesswork and delivers savings in time and cost

Provides the use of unmatched capabilities

Stampede

Time to insights

Research Product Selection Services

BusinessValue

Tutorials/TrainingBigInsights Quick StartExpert/BVA

BusinessValue

IBM Expertise

Use Case Selection Education & TrainingStandardRoadmap

Page 15: Building Confidence in Big Data - IBM Smarter Business 2013

A Year of Leadership and Innovation

Preparing for 4.4 Million Big Data Jobs in 2015

9 New Academic Collaborations

$100,000 in Awards for Big Bata Curricula

8-25x Faster Reporting & Analytics

BIG SQL,2-10x FasterStreamProcessing

8x Faster Deployment

BIG DATA PLATFORM

DB2 with BLUACCELERATION

PUREDATA SYSTEMfor HADOOP

ImprovedVisualization, Automatically Find Relevant Data

Animated Charting,Extensible Visualization

Disclosure Management,Accelerated Internal Reporting

BUSINESSINTELLIGENCE

PREDICTIVEANALYTICSfor BIG DATA

RISK, FINANCE& CLOUD

Page 16: Building Confidence in Big Data - IBM Smarter Business 2013

Top 5 Big Data Use CasesEach Requires Data Confidence for Success

Big Data Exploration Enhanced 360o Viewof the Customer

Operations Analysis Data Warehouse Augmentation

Security/IntelligenceExtension

Page 17: Building Confidence in Big Data - IBM Smarter Business 2013

Link to the case study

Http// need to get link from ibm.com

Global aerospace manufacturer empowers staff with access to critical informationNeed• Improve operational efficiencies by providing a unified

search, discovery and navigation capability to provide fast access to relevant information across the enterprise

Benefits• Placed 50 additional aircraft into service worldwide

during the first year without a staffing increase

• Saved USD36 million/year in supporting the 24/7 aircraft-on-ground program

• Provided supply chain visibility to reduce cycle time, saving millions of dollars on critical parts deliveries

1717 Home

Page 18: Building Confidence in Big Data - IBM Smarter Business 2013

Elisa Corporation - Adding millions of Euros in revenue with improved information services

Need

• Elisa Corporation sought a deeper understanding of customer needs as they expanded its offerings. However, its existing information services platform could not support the data-intensive analytics required.

Benefits

• Provides a platform to drive millions of Euros in new revenue

• Supports 200 to 600 times faster data analysis and 100 times faster load performance

• Delivers direct yearly cost savings of almost EUR800,000 (USD1 million)

1818 Home

Page 19: Building Confidence in Big Data - IBM Smarter Business 2013

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 Engagement

s

1040 Big Data Clients

2,300Info Agenda

Engagements

1550Big Data Clients30,000

GBS Information and Analytics Engagements

3,810Info Agenda Engagement

s

10,000Big Data University

Enrollments

40,000Big Data University

Enrollments

101,000Big Data University

Enrollments

2010 2011 2012 2013

40,000AnalyticsZone.com

Members