1. Revolution R Enterprise Michele Chambers Chief Strategy Officer & VP Product Management@ Revolution Analytics Bill Franks Chief Analytics Officer @ Teradata

2. Agenda Emerging Big Data Analytic Patterns Teradata Overview Revolution R Enterprise Teradata + Revolution R Enterprise Q&A2 3. Polling Question #1: Rate your current use/ knowledge of R: Actively Using R Now Are planning on using < 6 mo. Evaluation R now Not at all 4. Michele Chambers Chief Strategy Officer & VP Product Management Revolution Analytics @MCanalytics 5. 1st Generation Predictive Analytics 6. Todays Challenge: Accelerating Business Cadence Changing Business Environment Fact Based Decisions Require More Data Need to Understand Tradeoffs and Best Course of Action Predictive Models Need to Continually Deliver Lift Reduced Shelf Life for Predictive Models Faster Time to Value Reduce Analytic Cycle Time Build & Deploy Models Faster Eliminate Time Consuming Data MovementsRapid Customer Facing Decisions Score More Frequently Need to Make Best Decision in Real Time6 7. 2nd Generation Predictive Analytics Big Data Machine Learning Quick to Fail Lift7 8. Typical Challenges Our Customers FaceBig DataComplex ComputationEnterprise ReadinessProduction Efficiency Many new data sources Data variety & velocity Fine grain control Data movement, memory limits Experimentation Many small models Ensemble models Simulation Heterogeneous landscape Write once, deploy anywhere Skill shortage Production support Shorter model shelf life Volume of Models Long end-toend cycle time Pace of decision accelerated 8 9. Big Data Big Analytics is different 10. Polling Questions #2 What Analytics Challenges Are You Facing Data Too Large for Current Solutions Lack Timely Access To Needed Data Slow Model Development or Execution Inconsistent Solutions Across Platforms Acceptability of Open Source Cost of Solutions Too High None of the Above. 11. DataAnalytics Integration DecisionAnalytic Reference ArchitectureAnalytic Applications Middleware Analytic Tools HadoopData WarehouseOther Data Sources11 12. Beside ArchitectureInside ArchitectureIntegration DecisionIntegration DecisionArchitectural Approaches for Analytics Analytic ApplicationsAnalytic ToolsAnalytics DataData & AnalyticsMiddlewareLocal Data MartHadoopData WarehouseAnalytic ApplicationsMiddleware Analytic Tools HadoopData WarehouseOther Data SourcesOther Data Sources12 13. Pros & Cons of Approaches Beside Architecture Inside Architecture Hybrid Architecture Analytic workflow tasks performed in a separate analytics environment outside of the source database Pros: Segregates analytic workload Cons: Doesnt leverage powerful production for transformations, introduces scoring latencies Analytics workflow tasks performed inside the source database with embedded analytics Pros: Eliminates data movement, reduces model latency, allows exploration of all data Cons: IT governance on production, potential new skills Some analytic workflow tasks performed inside the source database & others performed in a separate analytics environment Pros: Leverages strengths of each architecture Cons: Maintain multiple environments13 14. Data SourcesHybrid Architecture3Data Sources 4Analytic Tools 1Local Data Mart 2 4Analytic ToolsAnalytic ToolsDataInside Architecture4124Hadoop, DW, Other31Analytics5Data & AnalyticsDataBeside ArchitectureAnalyticsBuilding & Deploying Analytic ModelsAnalytic Tools 1Local Data Mart 2Legend 1 Data prep / marshaling2 Model build3 Model recode / PMML4 Model deploy5 Update data14 15. The Teradata Unified Data Architecture Any User, Any Data, Any Analysis TERADATA UNIFIED DATA ARCHITECTURE ERPMANAGEMOVEACCESSMarketingMarketing ExecutivesApplicationsOperational SystemsSCMINTEGRATED DATA WAREHOUSE CRMImagesDATA PLATFORMBusiness IntelligenceFrontline WorkersIn-database & managed servers Audio and VideoMachine LogsCustomers PartnersDISCOVERY PLATFORMData MiningData ScientistsTextBusiness Analysts'Web and Social SOURCESEngineersANALYTIC TOOLSUSERS 16. Bill Franks Chief Analytics OfficerTeradata @billfranksga 17. Teradata Highlights 2,400+ Customers in 77 Countries 10,000+ Employees A Top 10 Public U.S. Software Company Ranked 2nd Best Company in America Motley Fool Worlds Most Ethical Companies Ethisphere Institute Leader in Data Analytics Leader in Integrated Marketing ManagementSource: Gartner Magic Quadrant for Data Warehouse Database Management Systems (February 2013) 18. Teradata Portfolio Teradata is the global leader in Data Warehousinganalytic data platforms, business Workload-specific Platformsapplications, and consulting Discovery Platformsservices that help organizations become more competitive by increasing the value of their dataand customer relationships. Integrated Marketing Management Consulting/Support Services Partnerships with key analytic technology providers and system integrators 19. Why Is Teradata Different? Server Based vs. In-Database ArchitecturesSample Data ResultsDesktop and Server Analytic ArchitectureIncome>$40K YesNODebt