turning big data into big decisions
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©2013 Software AG Government Solutions. All rights reserved.1 |
Turning Big Data into Big Decisions
Michael HoVice PresidentMarch 26, 2014
©2013 Software AG Government Solutions. All rights reserved.2 |
Define Your Goals
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Credit & Market Risk in Banks
Fraud Detection (Credit Card) & Financial Crimes (AML) in Banks
Event-based Marketing in Financial Services and Telecomms
Claims and Tax Fraud in Public Sector
Predictive Maintenance in Aerospace
Demand Forecasting in Manufacturing
Traditional Data Warehousing
Social Media Sentiment Analysis
Disease Analysis on Electronic
Health Records
Video Surveillance &
Analysis
Household Scoring
Market Sizing
A/B Testing
Data Velocit
y
Data Variety
Real-time
Batch
Structured Semi-structured
Unstructured
Use cases revolutionized by big data solutions
©2013 Software AG Government Solutions. All rights reserved.4 |
Credit & Market Risk in Banks
Fraud Detection (Credit Card) & Financial Crimes (AML) in Banks
Event-based Marketing in Financial Services and Telecomms
Claims and Tax Fraud in Public Sector
Predictive Maintenance in Aerospace
Demand Forecasting in Manufacturing
Traditional Data Warehousing
Social Media Sentiment Analysis
Disease Analysis on Electronic
Health Records
Video Surveillance &
Analysis
Household Scoring
Market Sizing
A/B Testing
Data Velocit
y
Data Variety
Real-time
Batch
Structured Semi-structured
Unstructured
Use cases revolutionized by big data solutions
©2013 Software AG Government Solutions. All rights reserved.5 |
Understand Your Data Landscape
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Big Data
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Big Data
When the amount of data is too large to utilize within its window of relevance.
Fast
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Evolve with Technology
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Big data technologies are the natural evolution of data collection and processing.
1970 1980 1990 2000 2010
1970s - First RDBMS and SQL developed
1991 – WWW becomes publicly available
1995 – GPS operationalized
1998 – Google founded
2003 – Wikipedia started
2005 – Hadoop created
2009 – Terracotta creates Enterprise Ehcache
2003 – Ehcache created
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Deci
sion T
ime
Shrinking Decision Windows
Data Growth
Data
Size
1970 1980 1990 2000 2010
Big data technologies are the natural evolution of data collection and processing.
ENTERPRISEEHCACHE
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Build on Existing Investments
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A good big data solution builds upon the solid technology foundation you have already laid.
Evolving with your enterprise
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Cost
per
gig
ab
yte
of
RA
M
1965 2010 2025
Cost Effectiveness
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Make Better, Faster Decisions
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Volume
VarietyVelocity
HistoricalData
Live Data
ENTERPRISE EHCACHE
Consume Analyze Visualize
A real-time data revolution
Big Data
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VisualizeAnalyze
Consume
Visual tools facilitate real time analysis of disparate data
User-Drive
n
User-Drive
n
Step 1 Step 2 Step 3
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Real-time Analytics allows you to
get the right datain front of the right people
at the right timein ways you couldn’t before.
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Real-time Analytics Use Case #1: Situational Awareness
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Real-time Analytics Use Case #2: Cyber Defense
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Real-time Analytics Use Case #3: Financial Planning
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Real-time Analytics Use Case #4: Data Transparency
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