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2 DISRUPTIVE DATA SCIENCE How Data Science And Big Data Are Transforming Business, IT And People Brendon Moran Data Scientist 2
3 Agenda CareCore National s Evolution Data-Driven Transformation How EMC Can Help 3
4 CareCore s Role In Health Care Clinics, Hospitals, HC Centers, Providers Optimized Compensation Legal Actions Accurate Payments Claims Diagnosis Treatments Procedures Cost Patient s Profiles Cost-Effective Treatment Knowledge Dissemination Reduced Liability Sources Of Variability Industries Statistics Providers Performance Providers Performance Fraud Detection Reduced Liability Sources Of Variability Industry Statistics Industry s Statistics Clinic s Performance Providers Performance Better Selection Of Providers Better Selection Of Clinics Improved Expenses Planning Insurance Companies (Carriers) Employees Analysis Industry s Statistics Potential Of Savings Patients (Members) Optimized Price Legal Action Customized Plans Better Services Plan Customers Legal Action Improved Employee s Satisfaction Better Prices And Options Legal Action Optimal Site Redirection Improved Benefits And Value Better Services 4
5 Pathway Traversal Prediction Claims History Patient Profile Patient Provider CPT Plan Pathway Traversals Prior Pathway Traversals Provider Profile Plan Details Predicted Actual 5
6 Predictive Modeling In The Call Center Actual Traversal Traversal Anomaly: Triage The Call 95% CI Patient Profile Predicted Traversal Plan Details Provider Profile 6
7 CareCore National Analytics Phases Customer = CCN Customer = External Time 1.5 CCN Analytics (BI + Predictive) 1.0 Analytics Greenplum Platform Data Source = CCN+ BI-Centric Operationally Oriented Customer Is CCN 2.0 Analytics as a Service New Customer Orientation New Solutions Development Data Source = Carrier+ 2.0 Batch 2.5 Data Exchange Data Value 3.0 AaaS@ Scale Data Exchange Workflow Management 7
8 Data-Driven Transformations 8
9 Transformation Catalysts Process & Change Mgt Org Alignment DS Skill Availability Distributed Computing Analytics Tools & Platform Data Availability Time 9
10 Transformation Catalysts Analytics Tools & Platform Distributed Computing Process & Change Mgt Org Alignment DS Skill Availability Data Availability Time 10
11 Big Data Analytics: Central To Enterprise Strategy Unauthorized User Access Web Server Attack Detection Malware Protection Advanced Persistent Threat Online Behavioral Analyses: Other Product-Sourced Data & Behavioral Analytics Vertically Specific Product Development Unified User Profiling Segmentation Churn Prediction Lifecycle Management Purchase Funnel Analysis Brand Analytics Campaign Analytics Pricing Demand Forecasting CPO CMO CSO Big Data Analytics CEO CFO CIO COO KPI Definition Risk Modeling Compliance IT Log Analytics Error/Event Logs Analytics Network Analytics Fraud Detection Error Log Analysis Complaint Data Analysis Call Center Data Analysis Demand Planning/Quality/ Reliability Fault/Service Failure 11
12 Transformation Catalysts Analytics Tools & Platform Distributed Computing Process & Change Mgt Org Alignment DS Skill Availability Data Availability Time 12
13 Data Science Team: New Source Of Innovation 13
14 Traditional Analytics Process Time-To-Insights Data Prep Sample.csv Spec.docx DB Extract Scores.csv DB Import Not A Scalable Process! 14
15 Analytics With Greenplum Time-To-Insights Data Prep MADlib > SELECT householdid, variables FROM households ORDER BY RANDOM() LIMIT ; > SELECT run_univariate_analysis ( 'households_training', 'variables'); WHERE pvalue<.01 AND r2>.01; > SELECT run_regression ( 'univariate_results', 'households_training'); > SELECT householdid, madlib.array_dot ( coef::real[], xmatrix::real[]) FROM coefficients, households; 15
16 Biggest Obstacles To Data Science Adoption Q25: The Biggest Obstacle To Data Science Adoption In Our Organization Is: (Coded For Total) 16
17 The Question Of Organization A Central Model Data Science Sits Within IT Close Proximity To Data Platform Cross-Initiative Scalability Establishment Of Best Practices Jump-Start Data Driven Culture Centrally Defined Prioritization Lack Of Domain Expertise B Decentralized Model Data Science Sits With LOB Distanced From Data Platform Limited Scalability Across Org Lack Of Best Practices Slower Data Driven Culture LOB Defined Prioritization Strong Domain Expertise 17
18 The Question Of Organization A Central Model Hybrid Model Data Science In IT With Physical LOB Placement Close Proximity To Data Platform Cross-initiative Scalability Establishment Of Best Practices Jump-Start Data Driven Culture LOB Driven Prioritization Strong Domain Expertise B Decentralized Model 18
19 Process & Change Management Explore The Deliver Data Wins! Translate Vision Into Concrete Projects Project Workspaces Prioritize With Stakeholders Socialize Progress Publish And Iterate Collaboration Solidify Integration Points W/ Dependencies Roadmap & Resource Data Analysis 19
20 How EMC Can Help 20
21 Greenplum Unified Analytics Platform Rich Capabilities For Complex Analytics Extends Leading Tools Fully Customizable For Analytics Increases Analytical Productivity & Results Extends Insight By Combining All Data 21
22 Greenplum Analytics Labs Overcome The Analytics Gap Develop Actionable, Ready-To- Deploy And Re-Usable Models Educate Users On Development Of Tools And Best Practices Establish A Strategic Vision For On-Going Analytics Development 22
23 Data Science And Big Data Analytics Course And EMCDSA Certification Course Overview Details Open Curriculum Enables Immediate Participation On Analytics Projects Prepares For EMC Proven Professional Data Science Associate Certification (EMCDSA) 23
24 Summary: Transformation Success Criteria Establish A Clear Vision For Big Data Analytics Understand End-To-End Platform Dependencies Embrace The UAP Paradigm Educate And Build Your Data Science Team Organize To Your Reality And Initiate Smart Process Deliver One Concrete Win Socialize, Socialize, Socialize 24
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