April 25, 2012
The Three R’s Are Old School – Now It Is All About Volume, Velocity & Variety Peter Guest
Alberta Public Sector Client Technical Advisor pguest@ca.ibm.com
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Why analytics now?
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Because we can…
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The world is changing and becoming more‌
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Big Data = huge opportunity to generate new outcomes‌
Volume
Velocity
Variety
Grab the <5% of tweets of interest in 12 terabytes of tweets created everyday
Identify potential fraud in five million trade events per second
Identify events of interest from hundreds of surveillance cameras
Predict power consumption using 350 billion meter readings from 20 million households annually.
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
However, organizations are challenged to achieve the potential insight from big data with traditional approaches.
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Why Business Analytics Matter The 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.
$93 billion in total sales is missed each year because retailers donâ&#x20AC;&#x2122;t have the right products in stock to meet customer demand.
5 billion global subscribers in the telco industry are demanding unique and personalized offerings that match their individual lifestyles.2
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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 Now Market Forces are Driving New Client Needs
The emergence of Big Data â&#x20AC;&#x201C; enabled by cost effective storage and processing of data
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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
• BAO Strategy and Roadmap
• Dashboards & Scorecards
• Advanced Analytics
• BAO Process Improvement
• Planning, Budgeting, & Forecasting
• Analytic Applications
• BAO Governance
• Business Analytics & Reporting
• Predictive Modeling • Business Optimization • Visualization
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Enterprise Information Management
Enterprise Content Management
• Data Integration
• Document & Records Management
• Data Quality • Data Architecture • Master Data Management
• Web 2.0 / Web Content Management • Digital Asset & Rights Management • Archiving & Record Management
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The BAO Reference Architecture Overview Sources Enterprise Apps Unstructured Data Stores Structured Data Stores
Content Management
Ingestion
Extraction
External
CRUD Transactional Components
Data Load Components Document Management Services Reference Data Management Records Management Services
Web Federation
Devices
Operational Orchestration Components
Data BI / Performance Advanced Repositories Analytics Monitoring
Extract / Subscribe
B A T C H
Data Quality
Transform
Base Services
Informational Master / Reference Data
Data Integration
Master Data Management
Dimensional Layer R E A L T I M E
Load / Publish
T R A N S A C TI O N A L
Data Warehouse
Access
Predictive Analytics
Web / Services
Data Mining
Portal
Scorecards
Dashboards
Simulation
Planning, Forecasting, Budgeting
Device Operational Data Store
Time Persistent Repository
Guided Analysis
Reporting Master Data Store
Content Store
Staging Area
Querying
Monitoring
Composite Application Text Analytics
Optimization
Visualization
Collaborative Application
Productivity Application Enterprise Search Business Unit Application
Business Process Management Service Management Information Governance Collaboration Security, Privacy & Compliance Transport & Delivery Infrastructure
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