Vitria provides an analytics platform to help organizations generate value from IoT data through predictive analytics and machine learning. The platform utilizes an analytics value chain approach involving fast data ingestion, contextual awareness, situational intelligence, predictive analytics, prescriptive analytics, and intelligent actions. This multi-stage approach aims to operationalize machine learning models from historical data to enable real-time predictive analytics and drive value from IoT initiatives across industries like manufacturing, telecommunications, and utilities. Vitria's platform can process large volumes of IoT data at scale to help organizations predict equipment failures, optimize operations, and improve customer experiences.

1. Vitria Operational Intelligence
The Analytics Value Chain
Key to Delivering Value in IoT
Dr. Dale Skeen
CTO and Co-Founder

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$20
Trillion
by 2025
Internet of Things – Value Potential
40%
Analytics

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Industrial Enterprise Consumer
Industrial Enterprise Consumer
Where Analytics Generates Value in IoT
Smart Home
Predictive
Maintenance
Asset
OptimizationOutage
Mgmt.
Operational
Efficiency
Safety and
Security
Fraud Detection Health MonitoringCyber Security
“My Life Style”
Customer
Engagement
Demand/Supply
OptimizationRevenue
Growth
Predictive 1:1
Marketing

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Lakes
are cool
Streams
are cooler

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Ingest and store
Analyze later
using bulk algorithms
Historical Analytics
Machine learning for
building predictive models
Ingest
Analyze immediately
using incremental algorithms
Fast, Real-Time Analytics
Operationalize models for
Real-Time Predictions
Prescribe Next Best Action
Lakes
are cool
Streams
are cooler

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Your Telco wants to predict when you
are about to leave the country...
So they can text you an attractive
data roaming offer!

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Real-time, Predictive 1:1 Marketing
How does your telco know you leaving the country?
O2 – Largest Mobile Telco in UK
Eurostar trains run between UK and
Europe via Channel Tunnel.
10 million passengers per year
Opportunity: Text customers a great
data roaming offer just before leaving UK.
Challenges:
 How to detect customers on the train?
 Highways next to train routes & stations
 Local trains share same routes as
Eurostar
Eurostar?Local?
or
or

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Vitria IoT: Analytics Chain in Action
Contextual
Awareness
Correlate &
enrich with
contextual
data
CRM, Train Routes
& Schedules
Predictive
Analytics
Predict
threats and
opportunities
upload
predictive patterns
Machine Learning
over Historical Data
Prescriptive
Analytics
Identify next
best actions
using automated
rules
Rules based on
Best Practices
Intelligent
Actions
Act Quickly to
Capture Value
$
Intelligent
BPM
Situational
Intelligence
Correlate real-
time situational
data
Customer
Journey
Ingest data at
speed and
volume
~ 250,000 events
per second
Fast Data
Ingestion
Cellular
Network

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Vitria IoT: Analytic Value Chain
multi-stage analytic processing drives value
Value
Maturity
Fast Data
Ingestion
Contextual
Awareness
Situational
Intelligence
Predictive
Analytics
Prescriptive
Analytics
Intelligent
Actions

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IoT: Analytics Maturity Model
Connected ProactivePredictiveReactiveAware
BusinessImpact
1 2 3 4 5
Fast Data
Ingestion
Contextual
Awareness
Situational
Intelligence
Predictive
Analytics
Prescriptive
Analytics
Intelligent
Actions

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Predicted Maintenance & Outage Prevention
predicting equipment failure during weather events
Situation
Severe weather events can cause
equipment failure and outages
Opportunity
Enhance operations by predicting
equipment failures
Lessen the probability of a
catastrophic failure

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Vitria IoT: Analytic Chain in Action
Ingest data at
speed and
volume
~ 1,000,000 events
per second
Fast Data
Ingestion
Smart Meter
Contextual
Awareness
Correlate &
enrich with
contextual
data
Equipment &
Maintenance History
Situational
Intelligence
Correlate real-
time situational
data
Weather
Conditions
Predictive
Analytics
Predict
threats and
opportunities
uploaded
models
Machine Learning
over Historical Data
Prescriptive
Analytics
Identify next
best actions
using automated
rules
Rules based on
Best Practices
Intelligent
Actions
Act Quickly to
Capture Value
$
Intelligent
BPM

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Operationalizing @Scale
 Elastic, scale-out architecture
 Commodity hardware
 In-memory computing
 Contextual data pre-loaded
 Actions with intelligent BPM
Fast Data
Ingestion
Contextual
Awareness
Situational
Intelligence
Predictive
Analytics
Prescriptive
Analytics
Intelligent
Actions

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Recent IoT Use Cases
TXU
 Visibility, Intelligence &
Governance of
Hidden Processes
 Monitor SLAs customer
transactions across
underlying systems
 Vizualize info in process
context
Preventative Maintenance
Large Equipment
 Machine learning of predictive
maintenance model over
machine history
 Continuous monitoring of key
indicators and environment
 Increased service uptime,
reduced unplanned outages,
reduced truck rolls
TXU
 Visibility, Intelligence &
Governance of
Hidden Processes
 Monitor SLAs customer
transactions across
underlying systems
 Vizualize info in process
context
Driver Behavior Scoring
Connected Car
 Machine Learning predictive
model over historical driver
records
 Includes Human, Vehicle, and
Environmental variables
influencing “Safe Drive”
outcome
 Driving Behavior is
continuously scored as new
data is made available
Fraud Detection
Smart Meter
 Fraud: Smart Meters can be
manipulated to make them
under-register.
 Fraud: Smart Meters can be
fooled into sending “energy
reversal” events (fraud).
 Grid Integrity: Detect unusual
voltage fluctuations.

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What Does This All Mean?

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Analytics Value Chain for IoT
Historical + Situational + Predictive + Prescriptive
drives Value in IoT
Timely action is the “last critical mile”
in the analytics value chain
Fast Analytics maximizes Value
since many IoT problems are time-sensitive
Operationalize machine learning from Historical Data
to generate predictive & prescriptive models for Analytics Value Chain

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Vitria – IoT Products
Vitria IoT Analytics Platform
Historical + Situational + Predictive + Prescriptive
Analytic Value Chains via Visual Modeling
Quickly Operationalize Machine Learning
from Historical Data for Real-time Execution
Scalable, Fast, and Open Big Data Analytics
• Leveraging Spark, Hadoop, Hive, more …
Vitria IOT APaaS
(Analytics Platform as a Service)
Self-Service IoT Analytics, in the Cloud
IoT Analytics in Minutes not Months

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Resources:
• Vitria IoT Analytics Platform
• A new analytics methodology to help you generate
value faster for your IoT initiatives
• Advanced Analytics for Manufacturing
• Advanced Analytics for Telecommunications
• Advanced Analytics for Utilities