PORTFOLIO AND TECHNOLOGY DIRECTION ARMISTEAD SAPP & RANDY GUARD

Transcription

1 PORTFOLIO AND TECHNOLOGY DIRECTION ARMISTEAD SAPP & RANDY GUARD

2 FOCUS MARKETS SAS Addressable Market Size $US Billions $ $10.6 $9.6 $7.0 $7.9 $5.0 $2.6 $3.7 $5.7 $4.4 $3.0 $4.2 BUSINESS INTELLIGENCE DATA MANAGEMENT ADVANCED ANALYTICS RISK MANAGEMENT CUSTOMER INTELLIGENCE FRAUD AND SECURITY INTELLIGENCE

3 RECENT RELEASES 2015 Q Q Q1 FUTURE RELEASES SAS Data Management SAS Event Stream Processing SAS Financial Crimes Suite SAS In-Memory Statistics SAS Analytics Suite SAS Data Loader for Hadoop SAS Data Management SAS Event Stream Processing SAS Customer Experience Analytics SAS Cybersecurity (New) SAS Data Loader for Hadoop SAS Event Stream Processing SAS Customer Intelligence 360 (New)** SAS Data Management SAS Episode Analytics SAS Federation Server SAS Analytics Suite SAS Customer Intelligence 360 SAS Cybersecurity SAS Data Management SAS Visual Analytics SAS Factory Miner (New) SAS Fraud Framework SAS Financial Crimes Suite SAS Financial Crimes Suite SAS Visual Statistics SAS Grid Manager for Hadoop (New) SAS High-Performance Analytics SAS In-Memory Statistics SAS Visual Analytics SAS Visual Statistics SAS/ACCESS Interface to Pivotal HAWQ (New) SAS Fraud Management SAS Life Sciences Analytics Framework SAS Model Implementation Platform (New) SAS Risk Modeling Workbench (New) SAS Stress Testing Workbench (New) SAS Model Risk Management SAS Risk Management for Banking SAS Visual Analytics SAS Visual Investigator (New) SAS Visual Scenario Designer SAS Visual Statistics SAS/ACCESS Interface to PI SAS/ACCESS Interface to Redshift (New) SAS High-Performance Analytics SAS In-Memory Statistics SAS Visual Analytics SAS Visual Investigator SAS Visual Scenario Designer SAS Visual Statistics Bold indicates service level 1 launch ** Customer Intelligence 360 launch activities begin in Q2 SAS C onf iden ti a l Subjec t to C hang e RELEASE HIGHLIGHTS

4 AGENDA ROADMAP HIGHLIGHTS Analytics Business Visualization Data Management Customer Intelligence Fraud and Security Intelligence

5 ANALYTICS VISION STATEMENT Provide market leading analytics for the rapid and seamless extraction of knowledge from data of any size, type, or complexity. Analytics Anywhere, Anytime, for Anyone Automation Machine Learning at Scale Built on Governance

6 SAS ANALYTICS ECOSYSTEM DATA MINING / MACHINE LEARNING TEXT ANALYTICS FORECASTING STATISTICS OPTIMIZATION

7 ANALYTICS ANALYTICS LIFECYCLE BUSINESS MANAGER MONITOR ACQUIRE BUSINESS ANALYST Domain Expert Makes Decisions Evaluates Processes and ROI DISCOVER Data Exploration Data Visualization Business Rules Case Management INVESTIGATE IT SYSTEMS / MANAGEMENT Model Validation Model Deployment Monitoring Data Preparation DEPLOY MODEL DATA SCIENTIST Data Preparation Exploratory Analysis Descriptive Analytics Predictive Modeling

8 ANALYTICS In-Memory Analytics Scale of Analysis Speed to Decision Lower Cost of Ownership

9 SAS ANALYTICS LOOKING FORWARD

10 Scale Unified

11 SAS ANALYTICS U RESULTS TO DATE (MAY 2014 PRESENT) University Edition: - 375,129 downloads universities across the globe

12 SAS BUSINESS VISUALIZATION VISION STATEMENT To provide our customers a seamless user experience for discovery, exploration, reports and dashboards, analytical analyses and wrangling data. For any data size, delivered on the user s interface of choice. Business Visualization Manage Self-Service Agile BI Complete Business Analytic Platform Integration into Users World

13 SAS BUSINESS VISUALIZATION SAS Visual Analytics Self Service BI CAPABILITIES AND DIRECTIONS Managed Self Service Managed BI BI Cloud Social Intelligence Analytics for Insights Data Wrangling Mobile

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16 FINANCIAL SERVICES GOALS Predict future payment behavior - account s propensity to pay and the amount you might expect to collect Collection Marketing influence payment behavior with communication tools Expected pricing & returns from buying and selling debt portfolios Shorten turnaround times from IT for data from warehouse Goal to improve customer relationships and accelerate debt payments SOLUTION SAS SAS Visual Statistics SAS Visual Analytics RESULTS Better models, scores and results Risk at debtor and client level Costs and revenues Better data access and insights are also helping DirectPay improve its communications and its image Improve both model quality and model deployment time, since more variables can be tested in different combinations in a short amount of time. Colin Nugteren Chief Analytics Officer Copyr i g ht 2014, SAS Ins titut e Inc. All rights res er ve d.

17 SAS DATA MANAGEMENT VISION STATEMENT Provide the baseline for trusted data through agile preparation and provisioning, improved accuracy and context, and enforcement of governance standards DATA MANAGEMENT Anywhere, Anytime, for Anyone Charged with Analytics For the Data Network Built on Governance

18 SAS DATA MANAGEMENT CAPABILITIES VIEW SAS Federation Server Big Data Virtualization Data Masking & Caching Security & Auditing SAS Event Stream Processing In Motion Pattern Detection Computes In- Memory Hadoop, SAS LASR Integration SAS Data Quality Profiling & Cleansing Standardization and Matching Data Monitoring SAS Data Governance Business Glossary Reference Data Metadata Mgmt and Lineage SAS Data Management Enterprise ETL & ELT In-Database, Bulk Loaders Hundreds of Transformations SAS Master Data Management Enterprise Multi- Domain Web Stewardship UI Hierarchy Management SAS Data Loader for Hadoop Business User UI In-Cluster Profile, DQ, DI Join, Transform, Filter SAS /ACCESS Seamless access to 60+ data sources Hadoop, XML, SAP HANA, Teradata Pushdown Processing

19 SAS DATA MANAGEMENT LOOKING FORWARD Machine Learning for Data Management 2

20 SAS DATA MANAGEMENT SNCF (FRENCH NATIONAL RAILWAY) TRANSPORTATION BUSINESS ISSUES European railway system is being deregulated; demands shift in treating patrons as customers rather than simply passengers or travelers Customer information is distributed across 18 systems; no easy way to provide a single, clean view of a customer needed to promote and leverage customer intelligence SOLUTION SAS MDM, SAS Visual Analytics, SAS Data Loader for Hadoop Solution chosen for quickness, agility, and suitability for analytic use case EXPECTED RESULTS Create single view of customer across all operational systems / interaction points Enable 360-degree customer view combining master data with transaction data Calculate and make next-best offer to customers in real-time at each interaction Allow marketing analysts to prepare and analyze data for campaign management Retire legacy systems used for related tactical point-to-point integration Deliver results that drive goals for company-wide business plan to improve customer intimacy, loyalty, and sustain a competitive market advantage. PARTNER Capgemini

21 CUSTOMER INTELLIGENCE VISION STATEMENT Give marketers The Power to Know how to optimize every customer experience Customer Intelligence Customer Journey Optimize the Marketing Department Unify Customer Data Deliver Digital Ecosystem Excellence

22 MARKETING TODAY S LANDSCAPE DIGITAL CONSUMERS Hyper-connected Generations do not know Marketing Channels CHANGING FACE OF MARKETING Balancing the Art and Science to make Marketing a Profit Center THE BRAND EXPERIENCE Using Data to Guide Not Control the Customer Experience

23 SAS CUSTOMER INTELLIGENCE HIGH LEVEL ROADMAP Cloud SAS Customer Intelligence 360 (New) Best-in-class digital, journeys, marketing operations, democratized analytics Integration to CI6 Digital Execution & Journey-centric Cloud first, multi-tenant, continuous delivery SAS Customer Intelligence 6 Best-in-class campaign, marketing operations, analytics, Integration to 360 Campaign-centric On-premise first, traditional releases for many modules On-Premises and OnDemand

24 FRAUD & SECURITY INTELLIGENCE VISION STATEMENT Employ innovative use of technology, domain expertise and analytics to create business solutions that reduce losses from fraud & improper payments, modernize compliance, and identify threats to public safety & national security. Fraud & Security Intelligence Enterprise Extendibility Analytic Driven Detection Real-time Authoring & Simulation Visualization & Forensic Discovery

25 FRAUD & SECURITY INTELLIGENCE PORTFOLIO Detect fraudulent, wasteful, and abusive behaviors at an enterprise level. Help financial institutions manage their AML and BSA risk. Keep public agencies and private companies secure.

26 ENTERPRISE STRATEGY INTEGRATED PLATFORM Business Solutions (IP) Security Intelligence Foundation Rule/Analytic Authoring & Admin. Automated Linking Detection & Alert Generation Discovery & Search Integrated Workflow, Triage & ECM SAS Platform Data Management Analytics Dashboards & Reporting Objectives: Foundational architecture supporting modular expansion AML & Fraud on single platform Detection engines suited for business purpose Copyr i g ht 2012, SAS Ins titut e Inc. All rights res er ve d. 27

27 THE NEW ENTERPRISE STRATEGIC FUNCTIONS Case Management & Reporting Detection Operations Continuous Monitoring Peer-Based & Predictive Analytics Automated Linking Validation Visualization Model Tuning & Optimization Simulation Proactive Forensics Data Mining Global Search Ad Hoc Network Analysis Investigations Deployment Visual Discovery defined analytics behavioral monitoring dynamic in-memory ad-hoc / unstructured data Unknown Patterns

28 RECENT RELEASES 2015 Q Q Q1 FUTURE RELEASES SAS Data Management SAS Event Stream Processing SAS Financial Crimes Suite SAS In-Memory Statistics SAS Analytics Suite SAS Data Loader for Hadoop SAS Data Management SAS Event Stream Processing SAS Customer Experience Analytics SAS Cybersecurity (New) SAS Data Loader for Hadoop SAS Event Stream Processing SAS Customer Intelligence 360 (New)** SAS Data Management SAS Episode Analytics SAS Federation Server SAS Analytics Suite SAS Customer Intelligence 360 SAS Cybersecurity SAS Data Management SAS Visual Analytics SAS Factory Miner (New) SAS Fraud Framework SAS Financial Crimes Suite SAS Financial Crimes Suite SAS Visual Statistics SAS Grid Manager for Hadoop (New) SAS High-Performance Analytics SAS In-Memory Statistics SAS Visual Analytics SAS Visual Statistics SAS/ACCESS Interface to Pivotal HAWQ (New) SAS Fraud Management SAS Life Sciences Analytics Framework SAS Model Implementation Platform (New) SAS Risk Modeling Workbench (New) SAS Stress Testing Workbench (New) SAS Model Risk Management SAS Risk Management for Banking SAS Visual Analytics SAS Visual Investigator (New) SAS Visual Scenario Designer SAS Visual Statistics SAS/ACCESS Interface to PI SAS/ACCESS Interface to Redshift (New) SAS High-Performance Analytics SAS In-Memory Statistics SAS Visual Analytics SAS Visual Investigator SAS Visual Scenario Designer SAS Visual Statistics Bold indicates service level 1 launch ** Customer Intelligence 360 launch activities begin in Q2 SAS C onf iden ti a l Subjec t to C hang e RELEASE HIGHLIGHTS

29 INTERNET OF THINGS REALLY?.HOW MANY DEVICES

30 INTERNET OF THINGS TECHNICAL INFRASTRUCTURE SOURCES XML Cloud MQ SAS Event Stream Processing Engine Conduct low latency assessment of high-volume, high-velocity data triggering real-time actions/alerts Manipulate live data streams to detect, filter, aggregate & correlate signals from the noise Apply analytics and rules to pinpoint event relevance and urgency with continuous pattern detection CONSUMERS

31 CLOUD Private Cloud SAS Cloud Analytics Public Cloud

32 THANK YOU