Turning Crisis into Competitive Advantage
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Transcript of Turning Crisis into Competitive Advantage
©2013 Software AG. All rights reserved. For internal use only
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Big Fast Data World
Robin Gilthorpe, CEO, Terracotta, Inc.
October 9, 2013
©2013 Software AG. All rights reserved. For internal use only
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Dr John Bates, Senior Vice President, Big Fast Data October 9, 2013
Turning Crisis into Competitive Advantage The Power of Real-time Adaptive Intelligence on Big Fast Data
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The time window to analyze & act
Big Fast Data Volume, Velocity, Variability
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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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Most Data Apps & Business Intelligence = Rear View Mirror
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Most Data Apps & Business Intelligence = Rear View Mirror
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The Shrinking Time Window to Respond to Critical Information Is a Mega-trend That Shows No Sign of Abating
Typical Business SLAs
Algorithmic trading 100 ms < 1 ms
Call center inquiries 8 hr 10 sec
Supply chain updates 1 day 15 min
Phone activation 1 min
0.5 hour Refresh data warehouse
Track financial position 5 min 1 day
Airline operations 20 min 30 sec
Trade settlement 2 hours
Build-to-order PC 4 weeks 1 day
weeks days hours minutes seconds
3 days
1 week
5 days
Batch Analytics/ Data Warehouse
Rapid and proactive response is the key to surviving the pace of
competition
Intra-day Batch Analytics
Continuous In-memory Analytics Low Latency Analytics
Big, Fast Data Intelligence Techniques Needed Traditional Business Intelligence
milliseconds
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Complement Traditional BI with Continuous & Actionable Real-time Analytics
Strategic and Tactical
decisions
Periodic Reports
Ad Hoc BI Analytics
Traditional BI Statistical Analytics
Data Mining Other off-line Analytics
Continuous Embedded Analytics
Capture Event Data “in motion”
Store data “at rest”
Data Mart/ Warehouse
Take Action (Operational Decisions)
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Traditional Business
Intelligence
Strategic and Tactical
decisions
Periodic Reports
Ad Hoc BI Analytics
Traditional BI Statistical Analytics
Data Mining Other off-line Analytics
Continuous Embedded Analytics
Run-the-business Operational Systems
Capture Event Data “in motion”
Real-time “Adaptive Intelligence”
Store data “at rest”
Data Mart/ Warehouse
Take Action (Operational Decisions)
Complement Traditional BI with Continuous & Actionable Real-time Analytics
©2013 Software AG. All rights reserved. For internal use only
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Traditional Business
Intelligence
Strategic and Tactical
decisions
Periodic Reports
Ad Hoc BI Analytics
Traditional BI Statistical Analytics
Data Mining Other off-line Analytics
Run-the-business Operational Systems
Real-time Adaptive Intelligence on Big,
Fast Data
Store data “at rest”
Data Mart/ Warehouse
Take Action (Operational Decisions)
Capture Event Data “in motion”
Complement Traditional BI with Continuous & Actionable Real-time Analytics
©2013 Software AG. All rights reserved. For internal use only
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Trades
Quotes
News
Trader Behavior
Social Media
Real-time Adaptive Intelligence Enables Citi Avoids Regulatory Fines & Resolve Suspicious Trading Activity Proactively
Unusual trading activity just before news release suggests
insider trading
Notify relevant Compliance
Officer
Compliance staff visualize trade
abuse alerts; drill in to investigate
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Trades
Quotes
News
Trader Behavior
Social Media
Real-time Adaptive Intelligence Enables Citi Avoids Regulatory Fines & Resolve Suspicious Trading Activity Proactively
Big, Fast Data Intelligence
Historical Data &
Analytics
Real-time Analytics
Intelligent Action Rules
Suspicious Trading Case Management
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Crisis for Retail Banks, Telcos & Retailers – Threat of Disintermediation…
Retail banks Fear
Telcos Fear
Retailers Fear
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Could they go the way of the Dinosaurs…
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But, these organizations…
…are unique in their access to customer behavior in the real
world
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They can offer a personal concierge for every customer
Increased Revenue per Customer
Improved Customer Stickiness
Improved Campaign Effectiveness
Reduced Fraud
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Big Fast Data Challenge: How to Make Customer Experience “Mind Reading” & Location-Aware
Customer Experience
Layer (Promotions)
Internal Systems & Platforms
(Transactions) Location & Context
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Customer Experience
Layer (Promotions)
Internal Systems & Platforms
(Transactions) Location & Context
Big Fast Data Challenge: How to Make Customer Experience “Mind Reading” & Location-Aware
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Adaptive Intelligence
Real-time Analytics
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.
Real-time, One-to-One Marketing
Intelligent Offers: Right Place, Right Time, Relevant
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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Retail Partners and Real-time Up-sell
iPad purchased
Adaptive Intelligence
Real-time Analytics
Intelligent Action Rules
Dynamic Customer Profile
Transaction and Contact History § This customers tends to shop around for
accessories
§ Partner store will offer 20% off iPad case if purchased now
Thank You for Using Our Credit Card, Enjoy 20% off iPad cases if buy here within
10 minutes
Real-time, One-to-One Marketing
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Enjoy 15% discount off any
main meal at Sports Bar Diner in Wellington Mall
this lunchtime
Real-time, One-to-One Marketing
Adaptive Intelligence
Real-time Analytics
Intelligent Action Rules
Dynamic Customer Profile
Transaction and Contact History
Location and Context-Aware Promotions
§ 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
Customer location detected entering
Mall
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An Emerging Big, Fast Data Challenge: Massive Scale, Personalized Augmented Reality
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Big Fast Data Challenge: Proactive Customer Care
Violated SLA
Order bungled
Delivery late
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Crisis: Huge spikes in customer traffic at peak times
Legacy Approach: Product catalogue & shopping cart pulled from multiple disk-bound databases
Global E-commerce Avoiding “Black Friday” Blackouts FORTUNE 150
ATHLETIC BRAND
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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%
Global E-commerce Avoiding “Black Friday” Blackouts FORTUNE 150
ATHLETIC BRAND
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Dell’s Global Command Centers Fix Problems Before They Hit the Customer
SLA Events
Inventory
Equipment Locations
Social Media
Weather Patterns
Visualize status & address impending problems
Analyze & predict when an SLA could be violated
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Big, Fast Data – Capabilities Required
Mobile people & devices
Hadoop & Data Warehouse
Financial Events
Social Media Events
System alerts, sensors & machines
Real-Time Analytics & Intelligent Action
Low Latency Universal Messaging
Real-Time Visual Analytics
In-Memory Data & Analytics
Cloud
$ £ € ¥
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Adaptive Intelligence for Big, Fast Data
Cloud
Mobile people & devices
Hadoop & Data Warehouse
Financial Events
$ £ € ¥
Social Media Events
System alerts, sensors & machines
Real-Time Analytics
Universal Messaging
In-Memory Data
Visual Analytics
©2013 Software AG. All rights reserved. For internal use only
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Adaptive Intelligence – The Brain of the Digital Enterprise SCALABLE PLATFORMS THAT PROVIDE:
Intelligent Actions (intelligence + automatic action)
From Big Data (data at rest and in motion)
Immediately (at business speed/real-time)
To and From Anywhere (mobile, Web, POS, sensors, etc.)
§ Optimize § Learn § Improve