2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist
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1 2015 Analyst and Advisor Summit Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist
2 Agenda Key Facts Offerings and Capabilities Case Studies When to Engage Unisys 2015 Unisys Corporation. All rights reserved. 2
3 Unisys Builds Advanced Data Analytics Knowledge Environments Correlate cargo data from the major airlines in the world running more than 25% of the cargo internationally Ingest and analyze data from more than 4000 financial institutions on a quarterly basis to avoid another economic crisis Help financials institutions decreasing loan delinquency rates by 2% annually Process 1.9 billion transactions and 700,000 queries in one day 2015 Unisys Corporation. All rights reserved. 3
4 Vision and Strategic Imperatives Our Unique Approach: ADVANCED DATA ANALYTICS AS A SERVICE Analytics Platform + Data Scientists + Industry SMEs Predictive Analytics for Service Management Analytics on M2M Environments Industry Focused Analytics & Insights Pervasive Security Analytics 2015 Unisys Corporation. All rights reserved. 4
5 Process Maturity Much More Than Traditional Reporting Modeling and Forecasting Pattern Recognition Linear Programming Machine Learning Advanced Data Analytics Business Intelligence and Data Warehousing SQL ETL STAR Schema RDBMS OLAP Big Data and NoSQL Hadoop Google BigTable Splunk Cassandra Data Complexity 2015 Unisys Corporation. All rights reserved. 5
6 DIY or As a Service Do it yourself: Identify the right products Integrate them with current BI environment Hire data scientists Create data products Or get it as a service: Proven methodology Integrated best-of-breed products Cadre of data scientists Quick access to predictive models 2015 Unisys Corporation. All rights reserved. 6
7 Predictive Analytics for Multiple Industries Unisys Advanced Analytics Environment Enhanced Search & Troubleshooting Resolver Optimization Machine Learning Text Mining Natural Language Processing Predictive Analytics Massively Parallel Storage and Processing Real-time and Batch Mode Data Platforms ( Data Lake ) Ticket Correlation Volume Forecasts Predictive Service Management via a packaged Data Product Library as a Service We integrate with platforms like ServiceNow and BMC to provide true predictive analytics Logs Incident Data Events Topology Servers Endpoints ITSM Applications Data Sources Call Transcripts Monitoring Metrics Social External Sources Network & Storage Our service management analytic services incorporate data from IoT devices to help clients make better business decisions 2015 Unisys Corporation. All rights reserved. 7
8 Pervasive Security Analytics Unisys Security Analytics: Building from our Base Security Analytics will identify threats before they happen Our Advanced Data Analytics provide insights using predictive models enhancing our IP and differentiation Stealth We integrate Stealth TM into our Advanced Analytics solutions to extend our current security solution with powerful advanced data-oriented security analytics 2015 Unisys Corporation. All rights reserved. 8
9 Advanced Analytics for IoT Environments Unisys IoT Analytics Reference Architecture Internet of Things (IoT) Advanced Analytics Sensors with real-time data ingestion capabilities Mobility analytics providing access to enterprise analytics on wearable devices Machine learning and cognitive computing will be as part of our M2M strategy in multiple verticals Automation is critical outcome as data is ingested from all IoT devices 2015 Unisys Corporation. All rights reserved. 9
10 Service Management Data Product Library Model Volume Forecast, Enhanced Business Value Improved resource allocation and estimation related to future releases Increased volume forecasting from 20% to 90% Sentiment Analysis, Enhanced Resolver Optimization, Enhanced Enhanced knowledge to improve service requests Improved accuracy of downstream MTTR reporting and better utilization of resources 30% increase in efficiency Pharma client 2015 Unisys Corporation. All rights reserved. 10
11 Telco Data Product Library Model Customer Segmentation and 360 View of Customers CPU Utilization and Batch Scheduling Business Value Ability to categorize and group customers based on past behavior and historical trends Examine usage on a minute-byminute basis to classify behavior and predict future activity Client can now target online product offers with 90% effectiveness Routing Optimization Identify trends and patterns on routing information to offer new features to customers in the future Telco client 2015 Unisys Corporation. All rights reserved. 11
12 Federal Data Product Library Model Churn Analysis Description and Business Value Use transactional sales data to predict customers who are more likely to decrease their spend; assist in prioritization of customer retention. Client able to identify specific agencies behind the churn Customized Segmentation Validation CRM & Integration of Data Perform target marketing and sales efforts. Apply data mining techniques to identify buying patterns. Correlate CRM, social data with transactional data to provide actionable intelligence. Able to predict potential revenue losses 2015 Unisys Corporation. All rights reserved. 12
13 Financial Services Data Product Library Model Customer Analytics Risk & Finance Analytics Fraud Analytics Operational Analytics Relevant Functions Marketing Risk & Finance Fraud and Compliance Operations & Technology Client able to predict health of banks and financial institutions Able to predict and reduce loan delinquency 2015 Unisys Corporation. All rights reserved. 13
14 Let s Get Started: Advanced Analytics Rapid Prototype Approach 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 measures Refine and Improve Refine and Improve Proof of Concept: 3 to 4 weeks Limited amount of data one or two ideas Production: 6 weeks per data product 2015 Unisys Corporation. All rights reserved. 14
15 When to Engage Unisys Correlate multiple data sources to create business insights Transform organization into a data driven organization Limited infrastructure to ingest social media data with business data Lack of data standards and data strategy Willingness to create a 360 degree view for every customer Solve business problems which were impossible to be solved before Go from traditional reporting and dashboarding to use predictive analytic models to make better decisions 2015 Unisys Corporation. All rights reserved. 15
16 2015 Analyst and Advisor Summit
This Symposium brought to you by www.ttcus.com
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