Transcript The Three R`s Are Old School – Now It Is All About

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
[email protected]
© 2012 IBM Corporation
Why analytics now?
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Because we can…
© 2012 IBM Corporation
The world is changing and becoming more…
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© 2012 IBM Corporation
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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© 2012 IBM Corporation
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
don’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.
© 2012 IBM Corporation
Why Business Analytics Now
Market Forces are Driving New Client Needs
The emergence of
Big Data –
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
© 2012 IBM Corporation
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
© 2012 IBM Corporation
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
Content Store
Staging Area
Text Analytics
Collaborative
Application
Reporting
Master Data
Store
Composite
Application
Querying
Monitoring
Optimization
Visualization
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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© 2012 IBM Corporation