Oracle Next Gen. BI, Data Warehouse & Big Data Business and Technology Overview. Jonathan Basse Head of Solutions and Marketing July 2014

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2 Oracle Next Gen. BI, Data Warehouse & Big Data Business and Technology Overview Jonathan Basse Head of Solutions and Marketing July 2014 Oracle Confidential Internal/Restricted/Highly Restricted

3 Oracle Next Gen. BI, Data Warehouse and Big Data Oracle BI The Divine Path Introduction to Oracle BI Foundation Suite Introduction to Oracle Big Data Oracle Confidential Internal/Restricted/Highly Restricted 3

5 Data-Driven Decisions Analytics #1 for execs 1 key to growth, competitive advantage 2 Firms that adopt DDD perform better than firms that don t 1 Gartner 2014 CEO Study, CIO Magazine Study 2 MIT Study Strength in Numbers 5

6 Decisions What winning looks like Banking that reinvents the customer experience Merchant services in real time Industry s highest rankings in online services 6

7 Personalized banking based on big data, analytics Location-based services, advanced analytics finds patterns and correlations Better customer knowledge = better customer service 7

8 IT is in a time of transition Lead, or Follow Cloud Big Data Changing User Demands 8

9 Businesses 90% created in last two years 50 billion devices by 2020 Governance, risk and complexity 9

10 Businesses Oracle offers complete solutions for complex data management and governance 10

11 Business user demands are changing Speed over consistency Visual data discovery Embedded analytics 11

12 Business user demands are changing Gartner MQ Race is on for Governed Data Discovery Oracle delivers with Endeca Users get what they want; IT gets what it needs 12

13 IT leaders Must embrace changing processes Balance business user needs with enterprise demands Put mobile first A technology roadmap that supports continuous innovation 13

14 Technology musts Scalable but agile Consistent answers, but also discovery Put mobile first Safeguard information Unify analytic investments, without more complexity 14

15 Insight into every decision The right choice for IT leaders 15

16 5 Design Goals

17 Today 1 Solutions Beyond basic visualization numbers and words Governed sandbox Consumer-driven and predictive modeling Personal, Departmental and Enterprise Endeca info discovery R integration Interactive dashboard 17

18 Tomorrow 1 Solutions Voice and word recognition Data mash-ups Direct data interaction 18

19 Tomorrow 1 Solutions Rapid technology adoption Non-disruptive Data scientist sandbox Big Data Discovery 19

20 Today 2 Most secure Both packaged app and development environment Any device, any form factor Integrated with mobile device management platforms Make idle time productive with insights on the move 20

21 Tomorrow 2 Most secure Mass personalization Exploration templates Content specific visualization Integrated mapping Voice recognition and authoring 21

22 Today Transactional BI Standard Edition 3 More Answers Endeca Extensions Embedded into every business process What happened, what s happening right now, and what will happen next Strategic, operational, realtime BI Applications 22

23 Tomorrow 3 More Answers Cloud replicators for unifying analytic investments across onpremises and cloud applications Support for Fusion HCM, Fusion Sales, Taleo, RightNow Transactional BI Enterprise Edition 23

24 Today 4 Most Complete 10 billion transactions 20 million users 19 data centers Infrastructure, Platform and Application Services Planning & Budgeting Cloud Service 24

25 Tomorrow 4 Most Complete Built for cloud with enterprise class software Business driven self-service Advanced visualizations including mobile Fast cloud based data loading & metadata modelling BI Cloud Service 25

26 Today 5 Engineered First family of Engineered Systems optimized for analytics Fast to deploy, simple to scale Best total cost of ownership T5-8 makes application consolidation fast and easy 26

27 Tomorrow 5 Engineered Massive improvement in scaling through Oracle Database 12c In- Memory Option certification Further Essbase In-Memory Query Enhancements Capacity on-demand for expanding smaller configurations Hyperion Financial Management certified on Exalytics 27

29 Unnecessary Complexity Interrupts Analytic Processes Disparate Data Sources and Analytic Silos are not the Answer When LOBs operate from different data sources, they LOSE THE ABILITY TO WORK TOGETHER to achieve a common objective

30 66% Of projects developed without IT fail 81% in enterprise organizations Ask yourself what are the consequences if we continue to create silos? 2014 State of the CIO Survey CIO Magazine 30

31 What if You Could ALIGN ACROSS THE ENTERPRISE and gain consistency throughout all lines of business Forecast and model various scenarios to ensure you are optimizing on potential and PREVIOUSLY UNDETERMINED REVENUE opportunities

32 Oracle BI Foundation Suite Single Enterprise-Scale Business Analytics Platform Interactive Dashboards Ad Hoc Exploration Geospatial Visualization Scorecards Mobile Office Integration Production Reporting What-if Scenario Modeling Unique Features Single analytic view across all data sources. Advanced interactive analysis, regardless of data source Common Enterprise Information Model Benefits Improve business performance by linking insight to action Reusable analytic assets deliver productivity and provide consistent enterprise metrics Manage risk with single analytic framework: model once, deploy everywhere Delivery on any mobile device 32

33 Value of the BI Foundation Suite Integrating Financial and Operational Analytics Mobile Analytics for your Critical financial Data See all of your information securely, anytime, anywhere on any device Accelerated Management Reporting Connect planning, consolidated actuals, and operational data Analytics for the Enterprise, Department, and Individual Increase productivity and provide enterprise metrics to everyone 33

34 Strength of our Foundation proven with BI Mobile Strong Interest for anyone considering BIFS and Exalytics Mobile Analytics BI Mobile HD BI Mobile App DesignerV2 Full power of Oracle BI 11g on ios and Android Extend Oracle BI to mobile devices with no additional development Build once, consume anywhere, anytime Best Platform for BIFS and Exalytics Self-service capability allowing business users to create and distribute targeted mobile apps with zero-coding Easy to Create Delightful to Use Available on Any Device 34

35 3 Days Today, every store manager has mobile access to millions of sales data across 300 stores, with sub-second response times. Store managers can check inventory and close the sale in real-time. By the way, they were up and running with Exalytics in 3 Days! 2014 State of the CIO Survey CIO Magazine 35

36 Analytic Foundation: Focus on End User Capabilities Management Reporting Key Features: New Mobile Applications New Immersive Visualizations Office Integration for all Analytics Simple Search and Navigation Enterprise Reporting completeness Big Data Connectivity Workspace Integration for EPM 36

37 EPM Integration Already Delivered Management Reporting Proven Value Oracle demos today: We demonstrate EPM and BI together via ipad, leveraging the BIFS and Exalytics. We Drink our own champagne Full Feature Essbase and Planning Analytic Reporting Functionality Strategic Scorecard - OSSM Essbase Analytic Link for HFM OFMA (HFM reporting direct in OBIEE) 37

38 The Oracle BI Foundation allows Senior Management to have a single, global view of operations and other relevant data across multiple ERPs. Integration via BI Foundation allows finance to develop metrics to re-define business accountability and monitor summary and detailed information. More than 1,500 people in 70 legal entities rely on BI Foundation Now, it s very easy to analyze data from each division. I don t have to spend several hours running queries just to extract the data. 38

39 Real Time Analytics BI Foundation Suite and Exalytics empowers store managers to run self-service reports without depending on IT Increase insights into fluctuating inventory across 50 stores Exalytics provided one platform to run all of it. Operational reporting and forecasting in real time 39

40 Hardware and Software Engineered Together Oracle Exalytics In-Memory Machine Analytics For Everyone Planning, ERP, CRM, Profitability, Vertical-specific 80+ Pre-packaged In-memory Analytic Applications BI Foundation Suite Exalytics In-Memory Software Endeca TimesTen Essbase Unstructured ROLAP MOLAP In- M e m o r y A n a l y t i c E n g i n e s X3-4 2 TB DRAM, 2.4TB Flash, 40 cores Large Memory Hardware T5-8 4 TB DRAM, 3.2TB Flash, 128 cores Capabilities In-Memory Analytics: Structured and Unstructured Data Best TCO for Oracle Analytic Applications Works seamlessly with Oracle Engineered Systems and Storage Benefits Environment Simplification Superfast, Interactive Visual Analysis Faster Planning & Budgeting with Richer Models Quick to Deploy, Supports More Users Lower Total Cost of Ownership

42 What is Big Data?

43 Key Characteristics of Big Data Volume Typically large Velocity Fast rate of change Variety Multiple sources, structured and unstructured Veracity Data related uncertainty Value Potential ROI in processing data * Diagram courtesy Bernard Marr, Advanced Performance Institute (via slideshare.net)

44 Big Data Use Cases in Financial Services Industry 1. Customer segmentation 2. Customer sentiment analysis & targeted marketing 3. Personalized product/service offering 4. Fraud detection 5. Compliance monitoring 6. Risk management 1-4 are being commonly pursued by commercial institutions 4-6 are directly relevant to FSI controlling authorities like the central banks

45 Cost of Poor Data Management * Oracle survey of 300+ executives

46 The Path Forward for Data Management/Analytics * Oracle survey of 300+ executives

47 Big Data = Hadoop + Relational Ken Rudin, Director of Analytics at Facebook The genius of AND vs the tyranny of OR Relational Hadoop

48 Oracle s Big Data Strategy Oracle's strategy is to unify the access to ALL data leveraging Oracle engineered systems and leveraging a common analytics API over those systems. That API will enable languages like SQL, R and graph languages to be applied to all data. We believe that customers should build a Big Data Management System based on the combined data reservoir and data warehouse. It is not an either/or approach to data management, but a complementary approach that will be successful in the market. It is Oracle's strategy to build the best Big Data Management System in the market. - Jean-Pierre Dijcks, Oracle Big Data PM Unified Analytics API Hadoop SQL R RDBMS Security, Compliance and Access Management Management Framework and Tools Big Data Management System IB

49 Big Data Technology Stack Business Analytics Discovery + Biz Intelligence Big Data Management System Data Reservoir + Data Warehouse

50 Business Intelligence and Data Discovery Distinct but Complementary Capabilities Drives need for Change the Business Business Intelligence Proven Answers to Known Questions Data Discovery Fast Answers to New Questions Run the Business Creates new KPIs for

51 Oracle Endeca Information Discovery Understand the complete picture with context from any source BI Star Schemas Metrics: Margin = Sales - Cost, Dimensions: Customer, Product, Enterprise Content System MS Office Documents, Internal Notes Nielsen C3 and NVC books Transactions TxnID ProductID Content Amount SNL Crossing Jordan 3.99 Websites & Consumer Data Providers Axiom, Credit Rating, Niche websites Weblogs Omniture, Ad Servers, eflyers Segment 13: start and stop times. Click-away during ad bundle How can I raise the value of my property for on-line revenue? New segmentation of customer behaviors? Viewers retail spend patterns different than national average? Which viewers consume click-through content? Social Media Customer Comments Spend by retailer and product binging on The Office Season 5

52 Customer DNA Dynamically created Sets defined by your own rules With Lily s Customer DNA and Machine Learning Engine, individual product Preferences are available each moment More effective Alerts based on real-time customer metrics Models available, or easily and dynamically add new models from all available Manage metrics Big Data - Breaking down data silos to gain insights on all customer interactions in one place

53 Website Real Time Offer Personalization Determine offer eligibility from: Joe s product preferences Joe s DNA (Interests, lifecycle, activity,...) Calls to Lilly with content: Customer info. Context info. Session data???

54 Website Real Time Offer Personalization???

55 Mobile Customer Experience Location-Based Real Time Offer Personalization Joe can view and look up favorite shops, restaurants,... Joe receives merchant offers in his Bank s Mobile wallet Joe can redeem coupons through his mobile wallet Mobile Information Mobile Wallet Mobile Redemption

56 What Customers Are Saying Introducing Big Data and Machine Learning not only resulted in higher performance, but it allows us to introduce disruptive business concepts and opportunities. Bipin Sahni, Senior Vice President, Wells Fargo NGDATA is critical in the way we capture, analyze and generate actionable intelligence from Big Data. NGDATA makes it easier for us to connect with our customers across all of our channels, learn from their behavior and create personalized, unique offers to foster loyalty. Luc Verbist, CIO, De Persgroep With the local manpower and international expertise of NGDATA, our CRM department now exists at the center of all our inbound and outbound customer interactions, sharing real, actionable business intelligence and insights to other departments, executing hundreds of targeted campaigns on a yearly basis in support of our marketing vision. Bert Van Driessche, Director of CRM and Consumer Intelligence, Telenet

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