Ed Chavis - UNISYS at the Chief Analytics Officer Forum West Coast

Presented By Ed Chavis

Unisys Advanced Data Analytics

© 2016 Unisys Corporation. All rights reserved. 2

What is possible?

What Data do you have?

What Resources do you have?

Developing a Vision and Strategy Advanced Data Analytics

Predictive Analytics for Different Industries

Analytics for IoT Devices

Pervasive Security Analytics

Intelligent Applications for Digital Transformation


The Digital Analytics Evolution Discover → Describe → Predict → Prescribe

•Clients start a different levels

•Available on day one as a service

•Data products running near-real time

•Data lake to ingest large amount of diverse

data

•Transformation engine to enrich data sets

•Ability to correlate external and internal data

Stealth

Stealth


Internal / External Data Sets

Data Products Become the Drivers for Growth

Value of Advanced Analytics • New Revenue Channels • Better Service with Cost Savings • Increased Efficiencies

Analytics Engine Client’s Data Lake

Client Customer Visualize Analyze Process

Feedback


Reusable Data Product Libraries

Financial Services

ITSM

Network Failure Prediction

Churn Analytics Customer

Segmentation

Transportation

Life Sciences

Public Sector

Security

360 View of Customer

Mobile & Social Analytics

Fraud Detection

Analytics Engine + Data Scientists + SMEs = Powerful Data Products

Data Product: Analytics artifact created for client consumption providing immediate business value and intrinsic knowledge

DP Libraries

Data Products


Use Cases – Commercial & Government


Infographic Example - Border Protection Where the Path Leads?

• Started with a Proof of Concept

• Productionized POC into their Business Process

• One of the Largest Implementation in the US


Unisys Stealth(analytics)™ - Newest Data Product Analyze and Predict Stealth, Cyber and Physical Security Threats

Predict Who to Trust

Unisys Stealth(mobile)™ Unisys Stealth(cloud)™ Unisys Stealth(core)™


Advanced Data Analytics Platform

Productize Normalize Ingest Data

• Data Strategy

• Data Integration

• Data Security

• Storage Rationalization

• Transformation of data

at scale

• Integration of

algorithms,

taxonomies and/or 3rd

party data

• Reformat, Visualize

• Data Enrichment

• Actionable Intelligence

• Data Mining

• Machine Learning

• Predictive Models

Scalable Platform &

Data Scientists Customer Data &

Domain Expertise

Business Insights &

Mission Effectiveness

• Open Data

• Social Data

• Logs

• Serv. Mgmt.

• Asset Mgmt.

• Videos

• Audio

• Pictures

• Docs

• Fraud Detection

• Volume Forecasting

• Sentiment Analysis

• Ticket Optimization

• Customer 360°

• Recommender Engine

• Loan Delinquency

• Reservation Optimization

• Equipment Failure

Advanced Data Analytics As A Service Environment – Ready for Business

HDFS 2.0 – YARN Data Lake (Hadoop Ecosystem)

10 – 25 Nodes

Spark

Tableau Zoomdata

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Our Agile Engagement Model

Proof of Concept – Data Rationalization Deployment To Production

Identify

Data

Sets

Analyze

Data

SMEs

Define

Data

Products

Refine

Predictive

Models

Validate

Analytic

Results

Identify

Production

Data

Integrate

Analytic

Engine

Monitor

Refine

Measure

Proof of Concept 4 to 6 weeks

Limited Amount of Data – One or two ideas Production 6 weeks

Per Data Product

Refine and Improve Refine and Improve

© 2015 Unisys Corporation. All rights reserved.

Thank You!


Intelligent Applications Advanced Analytics To Digitize The Enterprise

Existing Application

New Application

Unisys SDK/API IntelAppKit

Digitized Application

Mobile Application

Collecting Usage Information to Provide

Better User Experience

•Potentially identify cyber threats

•Understand user behavior

•Are business processes supported by the app as intended?

• Is app behaving as expected?

•Change app dynamically to enhance user experience

•Digitize legacy apps by using analytics

Build data lake with historical data to predict

behavior for future applications


• Greet customer/citizen

• Inform them of new

products/services

• Inform them last time

they were there

• Provide forms to check

their info is correct

• Inform them of wait

time

• Collect information

about flow of

customers/citizens

• Correlate info with

legacy data

• Provide

recommendations

about new services

• Inform them where

they need to go for

additional information

– provide map

interactively

• On the way out –

thanks them for the

visit

• Send quick mobile

survey

• Analyze data within

data lake

Unisys First IoT Mobile App Connecting Beacons To Collect and Analyze Customer Location Data


What are Beacons?

• Beacons are small inexpensive devices that emit a signal that can be picked up by compatible devices such as smartphones and tablets

• Estimote Beacons (pictured right) are compatible with Apple’s iBeacon protocol and Google’s Eddystone beacon format


Analytics in the app

• Beacon Buddy tracks user events/actions within the app

– Viewed Alerts

– Ignored Alerts

– More info requested Alerts

• Can be used to determine which alerts/offers are being well received, as well as identify interests on a per-user basis

• Beacon statistics

– Log when a device enters the range of a beacon

– Identify high/low traffic areas in a facility

Technology

Ed Chavis - UNISYS at the Chief Analytics Officer Forum West Coast