In this webinar, you’ll hear VoltDB CEO, Bruce Reading, outline 4 steps to expand your window of opportunity while avoiding risky options that can destroy your business. Technology innovator and CEO of Emagine International, David Peters, will also share key lessons learned from establishing his company’s ability to use fast data to crush competitors and execute on Emagine’s ability to open new markets. To view the webinar in its entirety, click here: http://learn.voltdb.com/WRExecSeries1.html

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FAST DATA FOR COMPETITIVE
ADVANTAGE
Executive Webinar
Series on Fast Data

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OUR SPEAKERS
2
Bruce Reading, CEO
VoltDB
David Peters, CEO
Emagine International

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EXECUTIVE WEBINAR SERIES: FAST DATA STRATEGY
1. Fast Data for Competitive Advantage: 4 Steps to
Expand your Opportunity
2. How First to Value Beats First to Market: Case
Studies of Fast Data Success
3. Fast Data Choices: Strategies for Evaluating
Alternative Business and Technology Options
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• It’s a data-intensive world
• Your business is only as fast, as
competitive as your database
The Trillion Device World
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UC Berkeley Professor Vincentelli,
Computerworld, September 2015
THE DATA-FICATION OF LIFE

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Big Data
“Perishable insights can have exponentially more value than
after-the-fact traditional historical analytics.”
Mike Gual.eri, Principal Analyst, Forrester Research
Fast Data
DATA IS TRANSFORMING BUSINESS
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FAST IS DIFFERENT THAN BIG….SO WHAT?
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FAST = ADVANTAGE
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IN THE FUTURE….
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All businesses will compete on
their ability to make decisions “in
the moment” using Fast Data.

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DATA IS TRANSFORMING BUSINESS
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Broad content targeting to generic viewers Smarter, more individualized customer experiences
AUDIENCES
Content Metrics
INDIVIDUALS
Consumer Centric
From: AUDIENCES To: INDIVIDUALS

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FAST DATA IS A COMPETITIVE ADVANTAGE TODAY!
Instant insight
Instant action
Instant awareness
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* VoltDB customers
“Event triggered, real-time
recommendations based on
customer behavior have 10-­‐15
times the response rates than mass
marketing”
“Flipkart’s business requires a
highly scalable, real-time data
infrastructure.”
“Real time contextual offers
increase offer uptake rates by
75% and data revenues by 15%.”
**

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FAST DATA: 4 STEPS TO EXPAND
YOUR OPPORTUNITY
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1. Implement Hyper Personalization
2. Improve ROI of resource management
3. Enforce policies in real-time
4. Embrace IoT & sensor data

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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
1. Implement Hyper Personalization
Mobile:
Contextual
marketing
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
1. Implement Hyper Personalization
Financial Services:
Personalized trade
recommendations
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
1. Implement Hyper Personalization
Online
Gaming:
Real-time
player
engagement
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
1. Implement Hyper Personalization
Pharmaceuticals:
Contextual
marketing for
physicians
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
2. Improve ROI of resource management
Content Delivery:
Precision
counting and
billing
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
Advertising
Technology:
Online mobile
advertising
2. Improve ROI of resource management
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
Financial:
Credit Card
Fraud
Detection
3. Enforce policies in real-time
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
Telecom:
SLA
Management
3. Enforce policies in real-time
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
Smart Energy:
Meter sensor
data
4. Embrace IoT & sensor data
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FAST DATA: 4 STEPS TO EXPAND YOUR OPPORTUNITY
Connected Home:
Security
4. Embrace IoT & sensor data
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FAST DATA: 4 STEPS TO EXPAND
YOUR OPPORTUNITY
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1. Implement Hyper Personalization
2. Improve ROI of resource management
3. Enforce policies in real-time
4. Embrace IoT & sensor data

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COMPETING WITH FAST DATA
DAVID PETERS, CEO
EMAGINE INTERNATIONAL
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24. Real-time
Customer Value Management

25. Emagine
Best Practice CVM
Recharge $30+ by
Friday and get $50
bonus talk-time
Roaming to USA?
Click here to
activate your
Roaming bolt on: $5
per day for unlimited
calls home.
No contact
required
Special offer for 0414123123:
Get a free movie pass if you
Top-up$40 by Friday
You have only 100 Kb
remaining. Reply “yes”
to get 5Meg bonus data
for $10.
Generating superior returns though deep understanding of each customer, and engaging
with the right customer, with the right offer, at the the right time.

26. ‘Know
my
usage’
‘Know
my
value’
‘Know
me’
‘Know my
community
affiliation’
‘Remember
and
recognise
me’
‘Predict my
behaviour and
needs’
Tailored product
offers
Focused channel
capabilities
Drive superior
loyalty and
cross sell
Further growth
Emagine
What customers demand

27. 1%
3%
5%
$437M
Over 3 years
Our Best Practice objective is to work in partnership with our clients to deliver
up to 5% net incremental revenue
A typical CVM Roadmap will deliver incremental revenue each year, that justifies investment in further scale and
sophistication over a multi year period
Infrastructure &
People
Execute & Expand
Sophistication &
Scale
Optimisation &
Efficiency
Year 1
$49m
Year 2
$149m
Year 3
$243m
Target IR Growth
$USD per annum
Illustrative
Typical Mobile Operator with
15M prepaid customers and $27 ARPU
Net Incremental
Revenue
Emagine
CVM Results

28. Because we need to
interact with the
customer in the
moment – when it
really counts
Emagine International
Real-time Event Decisioning - why does Real-time matter?

29. IVR
3rd Party
OBD
SMS
USSD
MMS
CSR
Online
Email
App Notification
Direct Mail
Comms
Gateway
Inbound &
Outbound
Channels
IN
Postpaid
Fusion
mPesa
Rewards
& Bonus
Gateway
DataStreamBatchFileETL
Probes
IN
HLR
IN
DWH
CRM
Analytics & Reporting
Real-time Event
Decisioning
Campaign
Management
Customer
Loyalty
Contextual Analytics
Platform
Next
Best
Action
Emagine Adaptive Contextual MarketingTM
Emagine Adaptive Contextual Marketing Platform
Omni-channel, inbound & outbound, big data and fast data, analytics driven marketing

30. For more information on Lambda read:
1. Lambda Architecture Overview: Big Data book by Nathan Marz and James Warren, from Manning.
2. Lambda Architecture case stories via lambda-architecture.net
3. A real time architecture from FOSDEM 2013
4. Lambda Architecture: How to Achieve Big Data Velocity & Volume
Fast Data Analytics
SPEED LAYER
REAL
TIME
VIEW
SERVING LAYER
QUERY
INCOMING
DATA
Incremented Data
ALL DATA
BATCH LAYER
CONFIGURED DATA
REAL
TIME
VIEW
BATCH
VIEW
BATCH
VIEW
MERGE
QUERY
Emagine has adopted the industry
standard Lambda architecture for big
data as its reference architecture.
Lambda is also adopted by
organizations like Twitter, Facebook,
Uber, LinkedIn, etc.
Emagine Technology Architecture Blueprint
The LAMBDA landscape

31. Emagine
Real-time DB Selection Framework
Key Requirements:
Speed: Sub 250
millisecond response times
TPS = Millions
Data Integrity
Fit: Real-time analytics and
execution complementing
batch technology - based
on LAMBDA architecture
Implementation support
(post sales)

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DATA VALUE VERSUS SYSTEM RESPONSE TIME
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Need My Data Now
Later is OK
Low Value
(OK if I lose some)
Stream
Processing
Value of Data
Data
Warehouses
High Value
(Can’t lose it)
SystemResponse

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VOLTDB: WE DON’T MAKE APPS, WE MAKE APPS…
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• Real-time intelligence and context for richer interactions
• Make different decisions on each individual event or person
• Analyze and act on streaming data
• 100X faster than traditional databases
• World record performance in the cloud (YCSB)
• Millisecond response time
• High-speed data ingestion
• Simpler apps, easier to test and maintain
• Easier to program with SQL + Java
• Seamless ecosystem integration
• Data is always consistent and correct, never lost
Smarter
Faster
Simpler
10
Trillion Device World
100X
Traditional DB
100%
Consistent, Correct

34. Emagine
Real-time Event Decisioning
Case Study:
Proving the benefits of
real real-time

35. Emagine Real-Time Event Decisioning
Case Study – Does real-time make a difference?
Will real-time campaigns based on streaming
analytics deliver a greater business benefit than
near real-time campaigns…
The Question?
In 2015 Emagine conducted a POC with
one mobile operator with over 20 M customers
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36. Emagine Real-Time Event Decisioning
Case Study – Does real-time make a difference?
2 use cases were launched
1
2
Data Bundle Resign: Intercept customers as they go out of bundle,
to make them a contextual real-time offer of a customised data bundle
thus avoiding high out of bundle rates (which was driving customer
dissatisfaction).
Airtime Advance (IOU): Identify “valuable” customers who are
about to go out of credit and offer them a real-time contextual Airtime
Advance (IOU credit). Customers continue using the network and are
charged a small service fee when they next top-up/recharge.
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37. Emagine Real-Time Event Decisioning
Platform
Real-Time Alerting & Monitoring, Reporting, Analytics, Configuration, Auditing
IN
DWH
HLR/
VLR
Web
CSR
Social
Filters
Accumulators
Detectors
Pattern
Recognition
Rules Engine
Offer
Matching
Business
Rules
Models
Decisioning
NBA
Fulfilment
Comms
Channels
Integration with
Real-Time
Real-Time Event
Detection
Real-Time
Decisioning Fulfilment
Event Decision Execute
Network
Elements
Upstream

38. Emagine Real-Time Event Decisioning
Case Study – Technical results
Network
Event
ERED
Ingestion
Offer
Allocated
Channel
Selection
SMSC
Received
Customer
Handset
N
440
milliseconds
Network
event
latency
Emagine
Real-time Event Decisioning
12 minutes
Event to Action Journey Time
Event
Detected
1.5Bn live
Call and
Event Details
per day
7 milliseconds
20M customers

39. 2m 2m 2m . . . . . . . . . . . .
1 GB Bundle depletion
Emagine’s streaming analytics
predicted the exact right time to
contact the customer 85% of
the time - even with average
latency on source data of 12
minutes.
Low Balance warning based on
predicted time remaining
– Contextual
– Uses streaming analytics algorithms to predict the best
time to contact the customer
– Analyses the usage type & velocity & predicts the exact
right time to intervene
1 GB
“You have 3 minutes
remaining”
What if real-time data is not available yet?
Emagine’s streaming analytics

40. Emagine Real-Time Event Decisioning
Case Study - Results
THE RESULTS
DATA BUNDLE RESIGN AIRTIME ADVANCE (IOU)
A B C A B C
The desired
benefit was to
avoid out-of-
bundle fees and
this happened!
Timely intervention
through the real-
time campaign
drove customers to
reduce out-of-
bundle usage by
5.2x more than
the near real-time
campaign
Data Bundle
sales increased
by 50% for the
real-time vs
near real-time
campaign
Offer adoption
rates were
157% higher
in real-time vs
near real-time
Customers
receiving the real-
time contextual
offer bought
253% more
Airtime Advance
than those in the
near real-time
version of the
campaign
Scaling this
single use case
across the
eligible base
would deliver
incremental
Airtime
Advance (IOU)
fees of USD
$30k per
month
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41. Emagine Real-time
Competitive advantage
Turbo charging traditional (batch)
CVM environments

42. Traditional multi-channel campaign management systems are batch
architectures
Challenges
- Data latency from EDW and other source
systems
- Batch architecture at best “near real-time”
- No streaming analytics
- No event triggers in real-time from the
network for sub second customer
interactions
Inbound & Outbound
ChannelsCampaign
Management
Platform
BatchFileETL
IN
EDW
OTHERS
Fulfilment

43. Emagine Real-Time Event Decisioning will turbo charge the MCCM
environment to real-time
Inbound & Outbound
Channels
Emagine
Real-time Event Decisioning
Campaign
Management
Platform
BatchFileETL
IN
EDW
OTHERS
Fulfilment
DataStream
Probes
IN
HLR
Benefits
- Sub-second usage, recharge
and trigger based campaigns
- Complex Event Processing
- Fast Data Analytics
- Accumulators
- Integrates seamlessly with
existing Campaign
Management Systems
- Real-time dashboard

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FAST DATA: LOOKING AT THE ALTERNATIVES…
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Big DataFast Data
DATA IS TRANSFORMING BUSINESS
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CONTINUOUS VERSUS BATCH PROCESSING
• Fast data processing involves a continuous
process; per event
• Ingest – Analyze/Decide - Export
• Batch processing is an efficient way of
processing large volumes of data
• Collect – Process – Report
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FAST DATA TECHNOLOGY STACK - ALTERNATIVES
VoltDB
• Rigorous testing, QA
• 1/4th of the components
• Simpler, Faster
• Easier to test, maintain
DIY
With
Open Source
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DATA VALUE VERSUS SYSTEM RESPONSE TIME
49
Need My Data Now
Later is OK
Low Value
(OK if I lose some)
Stream
Processing
Value of Data
Data
Warehouses
High Value
(Can’t lose it)
SystemResponse

50. page© 2016 VoltDB
EXECUTIVE WEBINAR SERIES: FAST DATA STRATEGY
1. Fast Data for Competitive Advantage: 4 Steps to
Expand your Opportunity
2. How First to Value Beats First to Market: Case
Studies of Fast Data Success
3. Fast Data Choices: Strategies for Evaluating
Alternative Business and Technology Options
50

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THANK YOU!
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