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Violet Lucas
6 years ago
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Support the Healthcare Industry s Shift in Reimbursement from Volume to Value Affordable and Fast An Affordable

5 Page 5 Humanizing Analytics Analytic Solutions that Provide Powerful Insights about Today s Healthcare Consumer to Manage Risk and Enable Engagement and Activation Industry Alignment Mature Products and Services Designed to Support the Healthcare Industry s Shift in Reimbursement from Volume to Value Affordable and Fast An Affordable Pricing Structure that Accommodates Companies of Any Size with an Implementation Approach that Reduces Time-to-Value

Page 6 Health Lumen has the Ingredients Required to Create New and Impactful Insights These Assets Support Predictive Analytics, Segmentation Analysis and Other Data Studies Assets: Data, Technology

6 Page 6 Health Lumen has the Ingredients Required to Create New and Impactful Insights These Assets Support Predictive Analytics, Segmentation Analysis and Other Data Studies Assets: Data, Technology & Human Capital Detailed Medical and Pharmacy Claims Data for over 700,000 Commercial Lives with Over Five Years of History 200+ Socio-Economic and Psychographic Consumer Data Elements for All Adults in the United States Seasoned Healthcare Business & Data Subject Matter Experts Advanced Data Science Technologies

Page 7 Features Hundreds of Standard and Customizable Reports and Dashboards Thousands of Pre-built Healthcare Attributes and Measures Advanced

7 Page 7 Features Hundreds of Standard and Customizable Reports and Dashboards Thousands of Pre-built Healthcare Attributes and Measures Advanced Data Visualization Capabilities Benefits Target Specific Business Opportunities New Insights From the Lumen Data Science Lab Incorporated as Developed

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12 Page 12 Some jobs run up to 50 times faster Earlier data availability to customers More capacity to onboard on new customers

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14 Page 14 Analytics and data unleash the potential of great companies

15 Page 15 Business Solutions Analytic Solutions Analytics Business Consulting The Original Big Data Company Technology Solutions Public Cloud, Private Cloud, Managed Cloud, Hybrid Cloud, On-Premises Teradata Database, Teradata Aster Analytics, Hadoop > High- Impact Business Outcomes Business Value Framework Data Science Architecture Expertise Strategy and Roadmaps Design and Implementation Ecosystem Architecture Managed Services ~1,400 + Customers in 77 Countries Fortune: Top 10 U.S. Software Company ~10,000 Employees including ~5,000 Consultants Market Cap: U.S. $4 Billion+ World s Most Ethical Companies Ethisphere Institute Teradata QueryGrid, Presto, Listener, Unity, AppCenter

16 Page 16 Sources Acquisition Data Engines Analytics Access Users REAL TIME Audio and Video DATA LAKE NO SQL MULTI GENRE Marketing Executives Sensors DATA LAKE APP FRAMEWORK Operational Systems VIRTUAL QUERY OPERATIONAL Text INGEST EMERGING Customers Partners Web and Social IN MEMORY DATA WAREHOUSE DATA WAREHOUSE Business Intelligence Knowledge Workers Machine Logs COMPUTE CLUSTER CONVENTIONAL Languages Business Analysts CRM Integrated Development Environment Data Scientists SCM Platform Services DATA DEVELOPMENT OPERATIONS ERP Cloud Deployment PUBLIC PRIVATE HYBRID Engineers

Data Mover BAR/DSA Ecosystem Manager QueryGrid Viewpoint Listener Operational Analytics Platform Service App Framework UI/UX Platform Page 17 FLEXIBILITY IntelliCloud

17 Data Mover BAR/DSA Ecosystem Manager QueryGrid Viewpoint Listener Operational Analytics Platform Service App Framework UI/UX Platform Page 17 FLEXIBILITY IntelliCloud (IntelliFlex / IntelliBase / AWS) Public Cloud (AWS / Azure Marketplace) Private Cloud (VMware) On-Premises (IntelliFlex / IntelliBase) Analytical Ecosystem Unified Data Architecture

Page 18 30% improvement in popularity model 75% of viewings via personalized recommendations 99% on-time arrival rate for trains 20% increase in customer retention $34M identified in fraudulent

5M net profit increase from IVR flow redesign 2X leads via behavior based triggers $10M cost reduction optimizing patient stay $1M saved via identifying high risk churners 5-Day reduction in close

18 Page 18 30% improvement in popularity model 75% of viewings via personalized recommendations 99% on-time arrival rate for trains 20% increase in customer retention $34M identified in fraudulent activity 3x the industry standard in customer retention $3.5M net profit increase from IVR flow redesign 2X leads via behavior based triggers $10M cost reduction optimizing patient stay $1M saved via identifying high risk churners 5-Day reduction in close cycle time 10% reduction in RFQ cycle time 200% increase in customer spend 525% increase in open rates 10-20% uplift in conversion rates 360º real-time view of customers $80M in revenue identified 28% uplift in incremental sales 40M customer accounts supported $3M saved by closing gaps in member care 7M/day interactive loyalty program transactions $6M revenue increase via next best offers 50% time savings for users working with raw data 30% shift in traffic from catalogue to e- commerce

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20 Page 20 Data is no longer coming in a linear direction Organizations are becoming data centric to stay relevant Data is considered as a strategic asset to drive business decisions Modern platforms like Hadoop have changed the way we look at data

21 Page 21 Challenge Why? MDI Principle MPP Exploitation MPPs like Teradata can process data much more efficiently and optimally. ETL architecture limits the exploitation of MPPs. Taking Processing to where the data lives to exploit the power of processing platforms the and remove any I/O bottlenecks. Brittle Architecture Monolithic architecture limits the options in order to meet data diversity demands Cloud, Social Media, Geographical diversity. Linearly scalable architecture using Agentbased mechanism to move data from anywhere to anywhere in secured fashion. Meeting with New Technology Patterns Multiple processing platforms are common in today s data landscape which typically includes a combination of MPP, Hadoop, Spark etc. Fully leverage all platforms based on what they do well instead of having single processing framework i.e. ETL Server. Future Portability Technology advancements demands continuous optimization and porting processing logic over to newer and faster processing engines. Metadata driven approach in order to port the Execution logic to any processing platform available now or in future.

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24 Page 24 Diyotta s unique approach for orchestrating movement and integration of Big Data is linearly scalable and distributed, without dependency on a central server, while utilizing existing Big Data environments such as Hadoop, Massively Parallel Processing (MPP) and NoSQL platforms for data ingestion and processing. Efficient Data Movement Powerful Processing Flexibility and Reusability Unified Solution Orchestrate data movement directly from source to target Encrypt/compress data for movement Movement of data on premise, in the cloud or both environments Utilize target platforms (Hadoop, MPP and NoSQL) for P data processing Automatically generates native instructions for target platforms Work with multiple platforms in a data flow Run time instructions can be changed to a different target platform with minimal changes Portability to different and newer platforms Create reusable functions and business rules Easy to use graphical interface to interact with all platforms and environments Integrate metadata with other data governance applications Single sign on for all modules

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26 Page 26 Healthcare Analytics Sleep Disorders International Banking Credit Risk Analytics Global Data Lake Customer 360 Digital Transformation IVR Analytics Network Forecast Analysis Offer Management Telecom Fraud Analysis Cloud Data Lake Streaming Data Intake Sentimental Analysis Marketing Analytics

27 Page 27 Q/A Session

28 Page 28 THANK YOU

Teradata IntelliSphere

Teradata IntelliSphere Name, Title of Presenter 1 2 Agenda More analytic tools & techniques The Reality Wide range of deployment choices Proliferation of departmentalized analytics Dynamically changing