Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice

Technology Strategies for Big Data Analytics Paul Bachteal Director, Americas Technology Practice

THRIVING IN THE BIG DATA ERA DATA SIZE VOLUME VARIETY VELOCITY VALUE TODAY THE FUTURE

BIG DATA ANALYTICS AND COMPETITIVE ADVANTAGE Market Opportunity Observe Orient Orient Act Act YOUR COMPETITIVE ADVANTAGE Time You Observe Orient (Analytics) Web Content Knowledge Event Stream 6M Tweets / Hour 30M Facebook Comments / Hour 3M Facebook Links Shared / Hour Millions of New Web Pages / Hour World Wide Weather Data Competition Knowledge Observe Orient (Analytics) Decide Transactions Decide Transactions Act Act

Technology Checklist for Big Data Analytics A flexible architecture that supports many data types and usage patterns A stream it, score it, store it capability to optimize data relevance In-memory infrastructure capable of processing entire data sets Real-time visualization and advanced analytics to accelerate understanding and action

BIG DATA ANALYTICS REQUIRES ENTERPRISE ARCHITECTURE APPROACH MARKETING EDW SALES FINANCE SUPPLY CHAIN ADW RISK IN-MEMORY HR

HOW DO WE MANAGE DATA IN THE PHYSICAL WORLD? 1. Acquire 2. Determine Relevance 3. Store Trash Cache Storage

HOW DO WE MANAGE INFORMATION IN THE IT WORLD? Users Systems Relevance is traditionally determined at query time... Acquire, Store, Analyze Queries A Big Data Analytics strategy requires a new approach... Stream it, Score it, Store it Data Acquisition Data Transformations Data Normalization DATA

INFORMATION MANAGEMENT STREAM IT, SCORE IT, STORE IT ENTERPRISE DECISIONS / ACTIONS / DATA LOW COST STORAGE RAW RELEVANT DATA

THE NEXT STEP CLOSED-LOOP ANALYTICS DRIVE UNDERSTANDING AND ACTION SOURCE / OPERATIONAL SYSTEMS FACTORY DATA PREPARATION DEVELOPMENT DEPLOYMENT MANAGEMENT

CUSTOMER CASE STUDY TRADITIONAL ANALYTICS PROCESS DATA EXPLORATION DEVELOPMENT DEPLOYMENT 4.5 HRS

CUSTOMER CASE STUDY HIGH-PERFORMANCE ANALYTICS PROCESS DATA EXPLORATION DEVELOPMENT DEPLOYMENT 60 SECONDS

IN-MEMORY ARCHITECTURE ACCELERATES UNDERSTANDING AND ACTION

HIGH-PERFORMANCE ANALYTICS - CUSTOMER SEGMENTATION Tailored and Real-time Marketing Campaigns Billions of Purchase Transactions

CUSTOMER CASE STUDY TRADITIONAL ANALYTICS PROCESS 167 Hours DATA EXPLORATION DEVELOPMENT DEPLOYMENT

CUSTOMER CASE STUDY IN-MEMORY ANALYTICS PROCESS 167 Hours DATA EXPLORATION DEVELOPMENT DEPLOYMENT DATA EXPLORATION DATA EXPLORATION DEVELOPMENT DEVELOPMENT DEPLOYMENT DEPLOYMENT Bottom-line Impact: Tens of Millions of Dollars 84 SECONDS

Technology Checklist for Big Data Analytics ü A flexible architecture that supports many data types and usage patterns ü A stream it, score it, store it capability to optimize data relevance ü In-memory infrastructure capable of processing entire data sets ü Real-time visualization and advanced analytics to accelerate understanding and action

BEST PRACTICE Analytic Assessment Workshop Overview: Two-day on-site discovery session focused on understanding the client s business and IT objectives, key initiatives, existing information management and analytics architecture, top challenges, and priorities. Process: Review current business requirements, timeframes, critical success factors, and key business metrics (e.g. customer retention, customer acquisition). Review operational data sources to support business priorities. Review analytical priorities, strategy, process, and gaps. Deliverables: Technology roadmap to optimize the client s current and future IT-enabled analytical process. Projected high-level ROI analysis resulting from proposed analytical architecture and process improvements.

Paul.Bachteal@sas.com