The document discusses the challenges posed by big fast data and the need for real-time adaptive intelligence. It notes that the time window to analyze and act on data is shrinking, and traditional batch-oriented business intelligence is no longer sufficient. Real-time analytics and embedded intelligence that can take immediate action are needed. Examples are provided where adaptive intelligence has helped companies address issues like suspicious trading, customer experience, and system performance. The document argues adaptive intelligence can help companies optimize operations, learn continuously and improve outcomes in real-time using big fast data from diverse sources.

1. Big Fast Data World
Robin Gilthorpe, CEO, Terracotta, Inc.
October 9, 2013
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2. Turning Crisis into Competitive
Advantage
The Power of Real-time Adaptive Intelligence on
Big Fast Data
Dr John Bates,
Senior Vice President, Big Fast Data
October 9, 2013
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3. Big Fast Data
Volume, Velocity, Variability
The time window to
analyze & act
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4. Big Fast Data Challenge: Identifying Crises in Capital Markets
Market
manipulation
Ever-evolving
regulation
“Fat Finger”
trading errors
Rogue traders
Wild algorithms
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5. Most Data Apps & Business Intelligence = Rear View Mirror
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6. Most Data Apps & Business Intelligence = Rear View Mirror
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7. The Shrinking Time Window to Respond to Critical Information Is a
Mega-trend That Shows No Sign of Abating
Big, Fast Data Intelligence
Techniques Needed
Traditional Business Intelligence
Batch Analytics/
Data Warehouse
Intra-day Batch
Analytics
Continuous In-memory
Analytics
Low Latency Analytics
100 ms
Rapid and proactive
response is the key to
surviving the pace of
competition
20 min
30 sec
8 hr
Track financial position
15 min
3 days
Supply chain updates
1 min
1 week
Phone activation
0.5 hour
5 days
Refresh data warehouse
2 hours
Trade settlement
Build-to-order PC
1 day
weeks
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Call center inquiries
5 min
1 day
days
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Algorithmic trading
Airline operations
10 sec
1 day
4 weeks
< 1 ms
Typical Business SLAs
hours
minutes
seconds
milliseconds

8. Complement Traditional BI with Continuous & Actionable Real-time Analytics
Periodic
Reports
Traditional BI
Statistical Analytics
Data Mining
Other off-line Analytics
Ad Hoc BI
Analytics
Data Mart/
Warehouse
Store data
“at rest”
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Continuous
Embedded
Analytics
Capture Event
Data “in motion”
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Take Action
(Operational
Decisions)
Strategic and
Tactical
decisions

9. Complement Traditional BI with Continuous & Actionable Real-time Analytics
Periodic
Reports
Traditional BI
Statistical Analytics
Data Mining
Other off-line Analytics
Ad Hoc BI
Analytics
Data Mart/
Warehouse
Store data
“at rest”
Continuous
Embedded
Analytics
Capture Event
Data “in motion”
Take Action
(Operational
Decisions)
Run-the-business Operational Systems
9 |
Traditional
Business
Intelligence
©2013 Software AG. All rights reserved. For internal use only
Strategic and
Tactical
decisions
Real-time “Adaptive
Intelligence”

10. Complement Traditional BI with Continuous & Actionable Real-time Analytics
Periodic
Reports
Traditional BI
Statistical Analytics
Data Mining
Other off-line Analytics
Ad Hoc BI
Analytics
Data Mart/
Warehouse
Store data
“at rest”
Capture Event
Data “in motion”
Take Action
(Operational
Decisions)
Run-the-business Operational Systems
10 |
Traditional
Business
Intelligence
©2013 Software AG. All rights reserved. For internal use only
Strategic and
Tactical
decisions
Real-time Adaptive
Intelligence on Big,
Fast Data

11. Real-time Adaptive Intelligence Enables Citi Avoids Regulatory Fines & Resolve
Suspicious Trading Activity Proactively
Compliance staff
visualize trade
abuse alerts; drill in
to investigate
Trades
Quotes
News
Trader Behavior
Social Media
Unusual trading activity just
before news release suggests
insider trading
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Notify relevant
Compliance
Officer

12. Real-time Adaptive Intelligence Enables Citi Avoids Regulatory Fines & Resolve
Suspicious Trading Activity Proactively
Big, Fast Data
Intelligence
Trades
Quotes
News
Trader Behavior
Social Media
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Historical Data &
Analytics
Real-time Analytics
Intelligent Action Rules
Suspicious Trading
Case Management

13. Crisis for Retail Banks, Telcos & Retailers – Threat of Disintermediation…
Retail banks
Fear
Telcos
Fear
Retailers
Fear
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14. Could they go the way of the Dinosaurs…
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15. But, these organizations…
…are unique in their
access to customer
behavior in the real
world
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16. Increased Revenue
per Customer
Improved Campaign
Effectiveness
They can offer a personal
concierge for every customer
Improved Customer
Stickiness
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Reduced Fraud

17. Big Fast Data Challenge:
How to Make Customer Experience “Mind Reading” & Location-Aware
Customer
Experience
Layer
(Promotions)
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Location &
Context
Internal
Systems &
Platforms
(Transactions)

18. Big Fast Data Challenge:
How to Make Customer Experience “Mind Reading” & Location-Aware
Customer
Experience
Layer
(Promotions)
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Location &
Context
Internal
Systems &
Platforms
(Transactions)

19. Intelligent Offers: Right Place, Right Time, Relevant
Adaptive
Intelligence
Real-time Analytics
Purchase flat
screen TV at
partner store
using bank
credit card
§ Low current account balance
§ History of response to attractive credit offers
§ Push payment plan to mobile phone
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Real-time,
One-to-One
Marketing
Intelligent Action Rules
Dynamic Customer
Profile
Transaction and
Contact History
Thank You for Using
Our Credit Card. We
are offering 2% APR
finance over 60
months on this TV to
loyal bank customers.
Click here to accept.

20. Retail Partners and Real-time Up-sell
Adaptive
Intelligence
Real-time Analytics
iPad
purchased
Intelligent Action Rules
Dynamic Customer
Profile
§ This customers tends to shop around for
accessories
§ Partner store will offer 20% off iPad case if
purchased now
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Real-time,
One-to-One
Marketing
Transaction and
Contact History
Thank You for
Using Our Credit
Card, Enjoy 20%
off iPad cases if
buy here within
10 minutes

21. Location and Context-Aware Promotions
Adaptive
Intelligence
Real-time Analytics
Customer
location
detected
entering
Mall
§ Customer who subscribes to the “Live Sports
Results” package enters a Mall
§ Partner “Sports Bar Diner” has capacity
§ Push offer of 15% off any main meal this lunchtime
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Real-time,
One-to-One
Marketing
Intelligent Action Rules
Dynamic Customer
Profile
Transaction and
Contact History
Enjoy 15%
discount off any
main meal at
Sports Bar Diner
in Wellington Mall
this lunchtime

22. An Emerging Big, Fast Data Challenge: Massive Scale, Personalized
Augmented Reality
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23. Big Fast Data Challenge: Proactive Customer Care
Violated SLA
Order bungled
Delivery late
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24. Global E-commerce Avoiding “Black Friday” Blackouts
FORTUNE 150
ATHLETIC
BRAND
Crisis: Huge spikes in customer traffic
at peak times
Legacy Approach: Product catalogue
& shopping cart pulled from multiple
disk-bound databases
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25. Global E-commerce Avoiding “Black Friday” Blackouts
FORTUNE 150
ATHLETIC
BRAND
Big, Fast Data Approach: Move data
access to in-memory
Results:
• 90% of product requests served instantly
• Backend services load slashed by 40%
• Average page load time reduced by 16%
• Search time reduced by 30%
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26. Dell’s Global Command Centers Fix Problems
Before They Hit the Customer
SLA Events
Inventory
Equipment Locations
Social Media
Weather Patterns
Analyze & predict when an SLA
could be violated
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Visualize status & address
impending problems

27. Big, Fast
Data –
Capabilities
Required
Cloud
Real-Time Visual
Analytics
Hadoop & Data
Warehouse
Real-Time Analytics
& Intelligent Action
In-Memory Data &
Analytics
Mobile people &
devices
£
$¥€
Financial Events
27 |
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Social Media Events
Low Latency
Universal Messaging
System alerts,
sensors & machines

28. Adaptive
Intelligence
for Big, Fast
Data
Cloud
Visual Analytics
Hadoop & Data
Warehouse
Real-Time Analytics
Mobile people &
devices
In-Memory Data
Social Media Events
Universal Messaging
£
$¥€
Financial Events
28 |
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System alerts,
sensors & machines

29. Adaptive Intelligence – The Brain of the Digital Enterprise
SCALABLE PLATFORMS THAT PROVIDE:
Intelligent Actions
(intelligence + automatic action)
§ Optimize
§ Learn
§ Improve
From Big Data
(data at rest and in motion)
Immediately
(at business speed/real-time)
To and From Anywhere
(mobile, Web, POS, sensors, etc.)
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