Vitria Operational Intelligence
The Analytics Value Chain
Key to Delivering Value in IoT
Dr. Dale Skeen
$
20
Trillion
by 2025
Internet of Things – Value Potential
40
%
Industrial
IndustrialEnterprise
Enterprise ConsumerConsumer
Where Analytics Generates Value in IoT
Smart Home Predictive Maintenance Asset Optimization Outage Mgmt. Operational Efficiency Safety and
Security Cyber Security Fraud Detection Health Monitoring
“My Life Style” Customer Engagement Demand/Supply Optimization Revenue Growth Predictive 1:1 Marketing
Lakes
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
Your Telco wants to predict when you
are about to leave the country...
So they can text you an attractive
data roaming offer!
Real-time, Predictive 1:1 Marketing
How does your telco know you leaving the country?
O
2
– 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
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 DataPrescriptive 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 NetworkVitria IoT: Analytic Value Chain
multi-stage analytic processing drives value
Value
Maturity
Fast Data
IoT: Analytics Maturity Model
Connected Aware Reactive Predictive Proactive
Busin
ess
Impac
t
1 2 3 4 5 Fast DataPredicted 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
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 DataPrescriptive Analytics Identify next best actions using automated rules Rules based on Best Practices Intelligent Actions Act Quickly to Capture Value
$
Intelligent BPMOperationalizing @Scale
Elastic, scale-out architecture
Commodity hardware
In-memory computing
Contextual data pre-loaded
Actions with intelligent BPM
Fast Data
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
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
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 …
