The document discusses how big data, social media, systemic models, and governance can be used for predictive governance. It describes how analyzing large amounts of diverse data from various sources can help anticipate crises and their impacts. By monitoring data in real-time from sensors, images, reports, and meetings, predictive models can be generated to simulate potential outcomes and help decision makers plan accordingly. When combined with data governance practices to validate data quality, these tools allow issues to be addressed proactively before they become larger problems.

1. Predictive Governance
Big Data, Social Media, Systemic Models, and Governance
Steven Adler
IBM Information Governance Solutions
© 2010 IBM Corporation

2. Predictive Governance
1. Crises – Always a surprise
2. Big Data – We Anticipate the Future
3. Systems – We understand how things work
4. Predictive Governance – We take control
© 2010 IBM Corporation

3. When the Financial Crisis hit in October 2008
...why were its causes and effects a surprise?
© 2010 IBM Corporation

4. When Greece couldn't make its debt payments in 2009
...Why didn't we foresee the impact on interest rates?
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5. When 57% of American Farmland is ruined by Drought...
...How will that effect the global economy?
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6. Making Predictions is Difficult...
...When we aren't paying attention to what's happening
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7. Even when we are paying attention
...there is a lag between event and information
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8. But there are ways
To know what's happening right now,
and combine it with historical experience.
To detect evidence of dysfunction,
And monitor its development.
To predict the likelihood of crises,
And anticipate its direct and tertiary
consequences.
...And we have to do it now
© 2010 IBM Corporation

9. Because the world is too important
...To just keep muddling along
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10. Big Data = Volume, Variety and Velocity
Extracting insight from an immense volume, variety and
velocity of data, in context, beyond what was previously
possible.
Variety: Manage the complexity of
multiple relational and
unstructured data types and
schemas
Velocity: Streaming data and large
volume data movement
Volume: Scale from terabytes to
zettabytes
10 © 2010 IBM Corporation
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11. Example: A Massive Earthquake in Australia...
Gold Mine
Perth
Will have a ripple effect across South East Asia
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12. In the old days, markets priced the effects...
But Today, you use Big Data to monitor the impact
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13. Combining Satellite Images
We can know:
where every ship is in port and en route
What they carry, and their destination
Speed and Course
Maintenance Record and Personnel
Buyers and Sellers
Logistical Supply Chain
Industrial Dependencies
Markets and Makers
...with logistics data
© 2010 IBM Corporation
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14. Using Local Reporting of damage
Smartphone Images
Uploaded with geotags
Image recognition of
Damaged facilities
Compared to port data on
Goods volume per day
...and historical data we can assess economic impact
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15. Meanwhile Employees scour media reports
Each report is a
lead that a search
engine uses to find
more of the same.
Employees
comment on the
reports adding
experience and
interpretation. In
real time, you build
rich understanding
of what's
happening.
...and post articles that are indexed and researched
© 2010 IBM Corporation
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16. They attend meetings and conferences
Their metadata allows you to
Perform federated search
On the meeting or conference
They attended and index the larger
Contextual information to magnify
Their experience and provide
Richer context.
...and send photos, ideas, and updates
© 2010 IBM Corporation
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17. Your Data Governance Ontology
Using the same Big Data
Solutions, you tag data as it
Is analyzed, research its lineage
Verify its provenance, and assign
Obligations to its onward use.
...allows you to validate Data Quality in Real Time
© 2010 IBM Corporation
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18. With verified data, you generate systemic models
...to simulate potential outcomes and make new plans
© 2010 IBM Corporation
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19. This vision combines data from human and computer
...Sensors with Big Data Actuators
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20. Every day we are confronted with crises big and small
...that we want to master with information
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21. Big Data is the way to master our information
1. Business and IT
Identify
information sources available. 2. IT Delivers Platform
that enables creative
exploration of all available data
and content.
+
4. New insights drive
integration with
traditional technology.
3. Business explores data
and relationships creating
and testing hypotheses.
...and turn challenges into opportunities
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22. Big Data allows us to analyze anything and...
You can tell where your information came from
- when it was last updated
- how many people touched and altered it
- what it means and how you should use it
- when you should trust it
- whether it is fact or dangerous fiction
- what it means and what it is related to
- to create ecosystems of information
...add rich layers of context and meaning
© 2010 IBM Corporation
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23. IBM Vision for Big Data Integration
A
Streams p
Computing p
li
Internet Scale c
Computing a
ti
o
Content
Discovery n
F
r
Analytics
a
m
Public/Private e
Cloud
w
o
r
k
© 2010 IBM Corporation
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24. Big data is a hot topic because technology makes it possible to
analyze ALL available data
Cost effectively manage and analyze all available data, in its
native form – unstructured, structured, streaming
Website Social Media
Billing
ERP Network Switches
CRM RFID
© 2010 IBM Corporation

25. Vestas optimizes capital
investments
Capabilities:
Hadoop System
Data Warehousing
• Model the weather to optimize
placement of turbines, maximizing
power generation and longevity.
• 3 weeks to 3hrs.
Reduce time required to identify
placement of turbine from weeks
to hours.
• 2.5 PB of structured and semi-
structured data.
Growing to 16PB 2015
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26. Beacon Institute Detects
Environmental Changes to
Water Resources in Real-time
Capabilities Utilized:
Stream Computing
• Collecting and processing multiple streams of
physical, chemical, and biological data from
sensors deployed in Hudson Bay
• Sensor data is analyzed against larger
meteorological data and aggregated
• Real-time environmental data delivered in
standard format to scientists, engineers, policy
makers, and educators
Significant benefits:
“More effective • Better understanding of dynamic interactions
within local river and estuaries
response to • Fosters increased collaboration by making real-
chemical, world data available to outside systems,
researchers, policy makers
physical, • Helps resource management respond more
effectively to changes to local water resources
biological
changes”
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27. TerraEchos Turns to IBM
Big Data for Low Latency
Surveillance Data Analysis
Capabilities Utilized:
Stream Computing
• Deployed security surveillance system to detect,
classify, locate, and track potential threats at
highly sensitive national lab
• Stream computing collects and analyzes acoustic
data from fiber-optic sensor arrays
• Analyzed acoustic data fed into TerraEchos
intelligence platform for threat detection,
classification, prediction & communication
Significant benefits:
• Enables Terraechos solution to analyze and
classify streaming acoustic data in real-time
• Provides lab & security staff with holistic view of
“Identifies and potential threats & non-issues
• Enables a faster and more intelligent response to
classifies potential any threat
security threats –
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miles away”

28. KTH Swedish Royal Institute
of Technology Reducing
Traffic Congestion
Capabilities Utilized:
Stream Computing
• Deployed real-time Smarter Traffic system to
predict and improve traffic flow.
• Analyzes streaming real-time data gathered from
cameras at entry/exit to city, GPS data from taxis
and trucks, and weather information.
• Predicts best time and method to travel such as
when to leave to catch a flight at the airport
Significant benefits:
• Enables ability to analyze and predict traffic
faster and more accurately than ever before
• Provides new insight into mechanisms that affect
a complex traffic system
• Smarter, more efficient, and more
environmentally friendly traffic
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29. Proctor & Gamble increases
employee productivity thru
improved enterprise search
Capabilities Utilized:
IBM Vivisimo Velocity
Need
• Robust search and discovery system to help
employees more effectively & efficiently
leverage company data & content in more
than 30 strategic repositories
• Help employees find content they need,
people they should talk to, and places to look
for relevant info.
Benefits
• Reduced employee time spent searching for
info, increased time to make productive
connections, and enable action

30. Closing Remarks
1. Big Data will integrate all information types
2. Federated Search and Indexing
3. Automated Research and Discovery
4. Live Data Verification and Classification
5. Systemic Models and Simulations
6. All of this is available today
© 2010 IBM Corporation