Safe Harbor Statement

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1 Defining a Roadmap to Big Data Success Robert Stackowiak, Oracle Vice President, Big Data 17 November 2015

2 Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

3 Today s Typical Infrastructure Data Apps Results Highly Custom Data Management Packaged? Factory Many Warehouses Business Analytics Many Tools People Visualization?

4 Platform History Evolution Minicomputers & PCs Mainframe computers Relational Database 100s billions sensors Hadoop & NoSQL databases Data Streams & Search Hollerith Machine Electronic computers 1960 Data warehouses / marts Internet browsers

5 What s Behind Many Use Cases for Hadoop & NoSQL Databases Web Log Sensor Data Stream Streaming data feeds to enable better / new business decisions Lower cost for storage & analysis of all data (create data reservoir / data lake) Faster discovery of important data combinations via schema on read Predictive analytics on all kinds of data Better scale ETL processing (and data quality transformations)

6 The Internet of Things and Analytics

7 Who Oracle is Talking to about the Internet of Things Aircraft Suppliers & Manufacturers Agribusiness Automotive Suppliers & Manufacturers Computer & Mobile Device Manufacturers Energy Management Firms & Utilities Entertainment & Media Government Agencies Healthcare Providers Home & Commercial Appliance Manufacturers Industrial Manufacturers Insurance Companies IT Service Providers Oil & Gas Railroads & Trucking Retailers Security Systems Providers

8 Typical Business Drivers in Financial Services Earnings Growth & Profit Margin Launch new services & expand into new markets Marketing & Customer 360 Most relevant offers, customer loyalty growth Risk Management & Stress Testing Understand risk, use non-traditional data in scoring Fraud Detection Correlate seemingly unrelated events to find fraud Money Trading and Transfer Compliance Monitor streaming data for illicit activities Anti-Money Laundering Machine learning to detect unusual patterns Reputational Risk Understand customer sentiment toward company

9 Typical Business Drivers in Retail Customer Experience Single view of customer (Omni-Channel) including item interest, purchases across channels, targeted loyalty offers Merchandise Sales Category management including time to sale of items, product mix in stores and by region, impact of events and weather Point of Sales Market basket analysis, shopping cart abandonment Supplier & Partner Services Performance Quality of goods and services, on-time delivery Distribution & Warehouse Management Optimally sized and located facilities, optimized logistics Risk Analysis Potential security holes and risk of fraudulent behavior by customers, suppliers; monitoring of refrigeration units for risk to perishable items

10 Typical Business Drivers in Manufacturing Parts Manufacturing Planning Ability to scale up / down based on demand Quality of Manufacturing & Warranty QA, root cause and recall determination Supplier Performance Quality and on-time delivery Distribution & Warehouse Management Optimally sized and located facilities Customer Service Innovation Differentiated levels of service Promotions & Marketing Optimal spending with measurable results Risk Analysis Understand potential safety problems / liability Maintenance Analysis Optimal parts replacement

11 Business Drivers in Transportation & Logistics Transportation Network Resource Assessment & Planning Predictive maintenance determination Ability to scale up / down based on demand Route Optimization Most optimal pickup and delivery, crew staffing Distribution Center / Warehouse Management Optimally sized and located facilities Customer Service Innovation Differentiated levels of service Promotions & Marketing Optimal spending with measurable results Risk Analysis Understand potential driver / goods liability and potential for driver churn Maintenance Analysis Optimal repair scheduling minimizing downtime

12 Business Drivers in Government Fraud Detection Predictive modeling of potential fraud in welfare, healthcare services, supplier contracts, etc. Supply Chain Management Logistics Route optimization and optimized maintenance Optimally located supplies / distribution points Transportation Network Resource Planning Manage traffic flows & plan improvements Research Government funded healthcare / other research Threat and Safety Analysis Optimal deployment of police in reaction to changing crime patterns Smarter building inspections reducing health & fire risks Constituent Sentiment Analysis of trends on social and other media

13 Unified Information Architecture Maturity Phases Silos Standardize Optimize Information as a Platform One off tools/solutions Bottom-up Local business unit driven Many versions of truth Independent data marts Enterprise standard tools/solutions Data warehouse and dependent data marts IT & LOB partnership Secure, consistent access to all data Agile, flexible architecture Advanced analytics & real-time recommendations Analyze just in time structured & streaming data together Internet of Things introduced All stage 3 capabilities delivered as a platform (service/cloud) Access of tools and data among broad subscriber group Maturity & Capability

14 Today s Evolving Analytics Infrastructure Data Fast Data Apps Results Streams Events Actions Custom Data Services Data Management Packaged Reservoir Factory Warehouse Business Analytics Smart Things Data Lab Reports People Data Sets Discovery Data Science Visualization

15 Today s Evolving Analytics Infrastructure & Oracle Products ACCESS MANAGEMENT IDENTITY MANAGEMENT Data GOLDEN GATE ORACLE DATA INTEGRATOR Fast Data ORACLE STREAM EXPLORER ORACLE NOSQL DATABASE Streams Events Actions Data ORACLE Management / EXADATA BIG DATA APPLIANCE ADVANCED ANALYTICS BIG DATA SQL Reservoir Factory Warehouse Data Sets BIG DATA Data DISCOVERY Lab VISUAL ANALZER BIG DATA APPLIANCE ORAAH Discovery Data Science ORACLE DATA INTEGRATOR Apps INDUSTRY DATA MODELS Custom BI APPS Packaged Business Analytics BI FDTN SUITE Reports VISUAL ANALYZER Visualization Results REAL TIME DECISIONS Data Services Smart Things People ACCESS MANAGEMENT IDENTITY MANAGEMENT ORACLE DATA GOVERNANCE DATA SECURITY

16 Oracle Big Data Cloud Services Data Streams Fast Data Events Data Data Management Management Actions Internet of Things Process Apps Apps Custom Packaged Results Data Services Mobile Java, JRuby, Node.JS Developer Big Data Big Data SQL NoSQL Database Data Preparation Integration Reservoir Factory Warehouse Business Business Analytics Analytics Smart Things Business Intelligence Data Visualization Data Lab Data Lab Reports Big Data Discovery R, Spatial & Graph People Data Sets Discovery Data Science Visualization

17 Assessing Readiness for Change IT Readiness History of delivering to business specs Agile methodologies utilized Deliver right data at right time Proven available, serviceable & secure infrastructure Hadoop / NoSQL database skills Internet of Things skills (mid-tier) Business Readiness Fact-based decision making Senior executive sponsorship & funding Business needs prioritized & key performance indicators understood Data quality & tools align with analyst needs & skills Measured benefits from analytics

18 A Methodology for Success IT Focus Visioning (IT & LOBs) Implementation (IT, SI & LOBs) Roadmap to Implementation (IT & LOBs) Use Case Hypothesis (LOBs) Technical Information Architecture (IT) Business Information Mapping (LOBs) 18

19 Examples of Potential Use Cases Access Oracle s Public Enterprise Architecture Web Site Industry Big Data Whitepapers including IoT Communications Service Providers Financial Services & Banking Healthcare Payers Healthcare Providers Higher Education Logistics & Transportation Manufacturing Media & Entertainment Oil & Gas Pharmaceuticals & Life Sciences Retail Utilities

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