Peter Guest - The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety

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© 2012 IBM Corporation The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety April 25, 2012 Peter Guest Alberta Public Sector Client Technical Advisor [email protected]

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Transcript of Peter Guest - The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety

Page 1: Peter Guest - The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety

© 2012 IBM Corporation

The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety

April 25, 2012

Peter GuestAlberta Public Sector Client Technical [email protected]

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2 © 2012 IBM Corporation

Why analytics now? Because we can…

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3 © 2012 IBM Corporation

The world is changing and becoming more…

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Grab the <5% of tweets of interest in 12 terabytes of tweets created everyday

Predict power consumption using 350 billion meter readings from 20 million households annually.

Identify events of interest from hundreds of surveillance cameras

Identify potential fraud in five million trade events per second

Analyze up to 500 million Call Detail Records per day for revenue assurance

Harvest insight from the 80% of new data growth coming from email, documents, images, video and audio

Volume Velocity Variety

However, organizations are challenged to achieve the potential insight from big data with traditional approaches.

Big Data = huge opportunity to generate new outcomes…

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Why Business Analytics MatterThe Need for Analytics is Pervasive Across Business and Industry

The healthcare industry spends $250 - $300 billion on healthcare fraud, per year. In the US alone this is a $650 million per day problem.1

One rogue trader at a leading global financial services firm created $2 billion worth of losses, almost bankrupting the company.

5 billion global subscribers in the telco industry are demanding unique and personalized offerings that match their individual lifestyles.2

$93 billion in total sales is missed each year because retailers don’t have the right products in stock to meet customer demand.

Source: 1.Harvard, Harvard Business Review, April 2010. 2,IBM Institute for Business Value, The Global CFO Study, 2010.

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Why Business Analytics NowMarket Forces are Driving New Client Needs

The emergence of Big Data –

enabled by cost effective storage and processing of data

The shift of power to the consumer

Pressure to do more with less

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BAO Competencies and Offerings

BAO Strategy

Business Intelligence & Performance Management

Advanced Analytics and Optimization

Enterprise Information

Management

Enterprise Content

Management

• BAO Strategy and Roadmap

• BAO Process Improvement

• BAO Governance

• Dashboards & Scorecards

• Planning, Budgeting, & Forecasting

• Business Analytics & Reporting

• Advanced Analytics

• Analytic Applications

• Predictive Modeling

• Business Optimization

• Visualization

• Data Integration

• Data Quality

• Data Architecture

• Master Data Management

• Document & Records Management

• Web 2.0 / Web Content Management

• Digital Asset & Rights Management

• Archiving & Record Management

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The BAO Reference Architecture OverviewMaster Data Management

Data Integration

Data Repositories

BI / Performance Monitoring

ContentManagement

Security, Privacy & ComplianceCollaboration

Information Governance

AdvancedAnalytics

Business Process Management

Reference Data Management

Operational OrchestrationComponents

Data Load Components

CRUD Transactional Components

Access

Web / Services

Portal

Device

Composite Application

Sources

Collaborative Application

Productivity Application

Enterprise Search

Business Unit

Application

Service Management

Transport & DeliveryInfrastructure

Extract / Subscribe

Transform

Load / Publish

Enterprise

Apps

Unstructured Data Stores

Informational

External

Web

Structured Data Stores

Devices

Master / Reference

Data

Document Management

Services

Federation

Ingestion

Base Services

Records Management

Services

Extraction

Simulation

Optimization

Visualization

PredictiveAnalytics

DataMining

Text Analytics

Reporting

Planning, Forecasting, Budgeting

Scorecards

Guided Analysis

Dashboards

Querying

Monitoring

Operational Data Store

Data Warehouse

Time Persistent Repository

Dimensional Layer

Master Data Store

Content Store

Staging Area

Data QualityB

ATCH

REALTIME

TRANSACTIONAL