How To Use An Orgo

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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 decision. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle. 2 Copyright 2011, Oracle and/or its affiliates. All rights 2011 Oracle Corporation Proprietary and Confidential

5 Information Management Enterprise Information Management Comprehensive Approach for Unifying Information Business Rules Reference Data Business Process Management Information Services Data Services Business Intelligence Services Content Management Services Collaboration Services Customer Hub Product Hub Supplier Hub Financial Hub Site Hub Analytical Oracle MDM Oracle Data Integration ETL/E-LT Data Federation Enterprise Data Quality Profiling Standardization Match / Merge Replication SOA Big Data Policies Governance Storage Data Warehouse / Data Mart OLTP System OLAP Cube Files and Content Mgmt Web 2.0 Web and Event Services, SOA 5 Copyright 2011, Oracle and/or its affiliates. All rights

6 How do Enterprises Struggle to Govern Data? Customer Data Governance Challenges Lack of Data Transparency and Clarity Questionable Data Quality Consequences Lots of data discrepancies, unknowns on current state of data - Strong correlation to poor business action, faulty forecasts & performance information - High cost of integration & maintenance Poor Data Controls Unreliable data cascades throughout making maintenance & management a nightmare 6 Copyright 2011, Oracle and/or its affiliates. All rights

7 Business Impact of Data Quality With Bad Data With Good Data Reduced ROI Increased project risk, time and cost Expensive downstream consequences wrong shipment, wrong invoices, incorrect parts Increased ROI on existing systems Increased agility Increased efficiency Increased customer satisfaction Increased scalability Only 30% of BI/DW implementations fully succeed. The top two reasons for failure? Budget constraints and data quality. #1 reason CRM projects fail: Data Quality Data integration and data quality are fundamental prerequisites for the successful implementation of enterprise applications, such as CRM, SCM, and ERP. 7 Copyright 2011, Oracle and/or its affiliates. All rights

8 Many Domains, Many DQ Problems Core Requirements: Procurement Items Customer Citizen Item Supplier Employee Data Warehouse Core Requirements: Patient Name and address verification, standardization, match Multiple languages & locales Locale-specific processes Product Data Party Data Locations All Data Financial Sales 8 Copyright 2011, Oracle and/or its affiliates. All rights Multi-category architecture Semantic recognition and learning Attribute extraction and MRO standardization SKUs Classification Translation Assets Items for Sale Operational Core Requirements: Forecast Easy to configure based on data Transparent/tunable rules Share and reuse custom processes Immediate feedback based on data

9 Introducing Enterprise Data Quality DQ-Based Solutions Business Solutions Domain Knowledge Application Connectors Customer-delivered Partner-delivered Oracle-delivered Enterprise Data Quality Pre-Built Solutions Any scope components to end-to-end solutions Any pre-built/reusable item Processes, methods Knowledge, reference data Application integration Dashboards Party Data Extensions Match/Merge Standardization Governance Product Data Extensions Data Quality Platform Complete range of DQ capabilities Best-of-breed capabilities for party and product data Easy to use, intuitive Open, tunable, flexible Profile and Audit 9 Copyright 2011, Oracle and/or its affiliates. All rights

10 EDQ With Oracle Data Integrator: Use Cases Sources Oracle Data Integrator Target(s) Enterprise Data Quality E.g. Data Warehouse such as Exadata One-off Profiling Understand data to build ODI transformation and mapping processes. Automated Processes De-duplication, complex transformation and parsing called during ODI data flow. Measure Ongoing DQ Assess quality of data in target system. How well is ETL working? 10 Copyright 2011, Oracle and/or its affiliates. All rights

13 Matching Duplicate Identification and Prevention Designed for business users Flexible matching engine for any data with many comparison algorithms Provided template match processors for individual, entity and address matching Easy reuse of configured match processors Fully configurable outputs (Links, Groups, Master and Slaves, Best Record) Operates in both Batch and Real-Time See Match Essentials deck for more information on Matching Pre-built rules can be switched on and off and/or customized 13 Copyright 2011, Oracle and/or its affiliates. All rights

14 Oracle Enterprise Data Quality Profiling Interactive exploration of data Identify distribution and outlying values Charting, metrics, drill-downs 14 Copyright 2011, Oracle and/or its affiliates. All rights 14

16 Oracle Enterprise Data Quality Standardization Name: Dr Ellen Van Der Heijde Name: Mr RJ & Mrs FB MacDonald Name: Jalila Abdul-Alim (Do Not Call) Title: Dr First: Ellen Last: Van Der Heijde Gender: Female Title: Mr First: R Middle: J Last: MacDonald Gender: Male Title: Mrs First: F Middle: B Last: MacDonald Gender: Female First: Jalila Last: Abdul-Alim Gender: Female Note: Do Not Call Standardize, Transform and Parse Split names and name elements Identify individuals and businesses Derive additional attributes 16 Copyright 2011, Oracle and/or its affiliates. All rights

17 Oracle Enterprise Data Quality - Matching Title: Mr First: Robert Last: Fulmar Gender: Male DoB: 12/05/1978 Phone: Address: 9405 Main St Fairfax Virginia First: Bob Last: Fulmar Gender: Male [email protected] Title: Dr First: R Last: Fulmer DoB: 01/01/ [email protected] Address: 9407 Main Street Fairfax VA Title: Dr First: Robert Last: Fulmar Gender: Male DoB: 12/05/ [email protected] Phone: Address: 9407 Main St Fairfax VA Match & Merge data from disparate sources Create best record based on survivorship rules 17 Copyright 2011, Oracle and/or its affiliates. All rights

19 Built for the Business User Short learning curve & time-to-value Solution for owners of the business problem Integrated team collaboration 19 Copyright 2011, Oracle and/or its affiliates. All rights

20 Typical Product Data Problems The greatest threat to your PIM/MDM initiative Inconsistent names (representing same business) (Often) Rich information, but mostly non-standard Attributes non-standard, missing or invalid Product ID Manufacturer Description Product Type Power Voltage Mount ABC123 AA Inc. 10hp motor 115V Yoke mount Motor, AC/DC 10hp 115V Yoke abc-123 A.A. mtr, ac(115) 10 horsepower 115volts AC/DC Motor AC. ABC/123/Q AA/Craft 10 Caballos, Motor, 115 Voltios Mot-AC 10 H-pow 115 QA-ST5 Craft TEAO HP = RPM 115V 48YZ YOKE MTR Z99 Z99 MOT-10,115V,48YZ,YOKE Z99 Motor powered pulley, 3/4" Motor Widespread duplication (often hard to spot) Inconsistent formats (extra characters often added) Mis-classified item (not a motor) Inconsistent classifications & misclassifications Companies struggle with the basics of PIM 80% companies are not confident in the quality of their product data 73% find it difficult or impractical to standardize product data PIM Business & Technology Trends - Survey, Sept Copyright 2011, Oracle and/or its affiliates. All rights

21 Data Lens Technology Data Lens lets you see your data any way you want In real-time With no new storage Standardize Std. Classification(s) Std. Attributes Std. Descriptions Translate (inbound) Quality Governance Data Steward Dashboard Exception Management Validation & Remediation Match De-duplicate Merge Enrich Classify Extract/append info Repurpose Translate (outbound) (Re-)classify (Re-)standardize (Re-)format Semantic Recognition Contextual understanding & learning Oracle Product Data Quality Recognize incoming data by category Enforce categoryspecific data standards Governance and remediation for exceptions 21 Copyright 2011, Oracle and/or its affiliates. All rights

22 Enterprise Data Quality Differentiators Integrated DQ Solution Domain-specific capabilities Ease of use Integration of all core DQ capabilities profiling, cleansing, classification, repurposing, matching & reporting Engineered for business users Easy to configure and integrate DQ Services Integrated team collaboration and management Specialized capabilities for major domains Party and Product Pre-built processes and knowledge Use the right tools for the job depending on the task Extensible for any domain, task, process Agnostic of data-domain, vertical market & application Brings DQ out of the back-office Users can monitor what matters to them Personalised dashboard Select content and define order Business context to gain understanding and consensus 22 Copyright 2011, Oracle and/or its affiliates. All rights

23 Unique Qualities of Oracle EDQ Products Fastest Time To Value Easy to use - Single screen combines all key DQ functions Simple graphical UI, no coding required Collaborative environment with integrated issue management Designed for business user Most Tunable Solution Fully tunable rules Closed-loop rule building with instant feedback No black boxes Easy to extend and re-use Lowest Total Cost of Ownership Integrated solution Rapid integration and deployment Low maintenance overheads Scalable performance 23 Copyright 2011, Oracle and/or its affiliates. All rights

24 Oracle EDQ for Product Data Core Differentiation Semantic-based Semantic-based recognition targets meaning in context to handle extreme variability of product data Identifies exceptions for rapid learning Scalable Enforce standards across thousands of product categories Enforce standards across many systems & processes Integrated Governance Maintained by Business User Integrated dashboards and data remediation Improved oversight and exception management IT does not have to write laborious, ever changing programmatic rules Improves process across all lines of business 24 Copyright 2011, Oracle and/or its affiliates. All rights

25 What is Watchlist Screening? A business process for identifying a potential match between a customer record and anyone (customer, supplier, business partner, employee) that may appear a watch list (public or private) Avoid doing business with sanctioned or risky individuals and entities Comply with Know Your Customer (KYC) and Enhanced Due Diligence (EDD) obligations, e.g. USA Patriot Act 2001 Money Laundering Control Act of 1986 Bank Secrecy Act 1970 Many other country-based regulations Determine the potential for exposure to money laundering, bribery & corruption and/or terrorist financing 26 Copyright 2011, Oracle and/or its affiliates. All rights

27 Oracle Watchlist Screening Minimize Risk Exposure Most Flexible Solution Lowest Total Cost of Ownership Low false positives due to underlying DQ technology Configurable risk & match scoring Designed for business user Complete audit trail of review process Optimizes all data for screening Integrated case management & reporting tools Agnostic to data format, language and structure 500+ match rules with option to customize Avoids unnecessary or repetitive investigations Screens all risk profiles Pre-built workflows enables rapid integration and deployment Low maintenance overheads 28 Copyright 2011, Oracle and/or its affiliates. All rights

31 MDM Manages Ongoing Information Change Consolidate, Cleanse, Standardize, Cross-Reference, Govern, and Share ETL Policy, Category-Software Global ID App ID SFA Call Center Web site Billing Partner ME Billing ME-A ME Contracts C ME Policy Admin A B ME SFA A02 Middleware MDM BI/ DW John Smith, 1867 Pierce, SF, CA UID App ID Contracts Shipping Call SCM EBS Legacy ETL 1ASCLSCC SFA A31-32Z 1ASCLSCC Call Center B37-84U 1ASCLSCC Billing GH78GH 1ASCLSCC Legacy Copyright 2011, Oracle and/or its affiliates. All rights

32 Key Components of Oracle Hub Products The Source of Clean Data for Your Enterprise World class data governance High performance heavy duty import History & Audit Events & Policies Data Governance Manager List Import Workbench Identification & Cross-Reference Source Data History Rules based Survivorship Trusted Master Data Roles & Relationships Brands Vertical Variants Related Data Entities Enhanced Match & Merge Unmerge Deep & easily configurable yet upgradeable Industry specific schema Web Services Library Publish & Subscribe Transports & Connectors Authorization Registry Multi-language Manage Decay Address Validation Enrich Pre-built library of extensible fine grain & composite web service Robust DQ & unique Knowledge Based MDM offering 33 Copyright 2011, Oracle and/or its affiliates. All rights

33 Enterprise Grade, Purpose Built MDM Consolidate, Cleanse, Standardize, Cross-Reference, Govern, and Share Customer Supplier Financial Site Product trusted crowd-sourced social CRM ERP EPM/BI CRM Other Sources Legacy 34 Copyright 2011, Oracle and/or its affiliates. All rights

35 Oracle Enterprise Data Governance Solution 1. Design-Time Data Modeling, Data Classification, Data Taxonomy & Metadata Definitions 2. Data Standardization Policies 3. Data Security & Privacy Policies 4. Data Lifecycle Management Policies 5. Data Process Management Policies Master Data Governance consists of defining data standards and policies, monitoring data according to those standards and policies and resolving data issues that have been modified in the monitoring process. 1. Data Hub Activity 2. Data Quality 3. Business Processes 4. Log, Audit & Report Tool 1. Operational Data Hub Issues 2. Data Quality Issues 3. Business Process Issues 36 Copyright 2011, Oracle and/or its affiliates. All rights

36 Why our customers engage in MDM Projects? Categories of MDM Benefits GROWTH Improve performance EFFICIENCY Operational efficiency across multi-functions of an enterprise IT AGILITY Increase IT resiliency in a changing business landscape COMPLIANCE Reduce operational risk and improve regulatory compliance CUSTOMERS ON AVERAGE GENERATED 2%- 5% INCREASED REVENUE FROM SALES WITH MDM EFFICIENCY OF OPERATIONS INCREASE WITH IMPROVED PROCESSES AND DATA GOVERNANCE EFFICIENCY OF IT OPERATIONS RESULTING IN GREATER AGILITY OF BUSINESS MODELS EFFICIENCY OF IT OPERATIONS RESULTING IN GREATER AGILITY OF BUSINESS MODELS 37 Copyright 2011, Oracle and/or its affiliates. All rights

37 Oracle Supplier Management / MDM Complete end to end supplier management solution Supplier Hub Consolidates & maintains accurate supplier master information across the enterprise Ensure cleanse, deduplicated and enriched supplier up to date data Distributes as a single point of truth to all operational & analytical applications Enable enterprise data governance Supplier Lifecycle Management Identification / Registration Qualification and On-boarding Compliance and Profile Audit Performance Evaluation & Maintenance Self-Service Portal & Notifications Obsolescence Buyers Trusted Supplier Data Suppliers 38 Copyright 2011, Oracle and/or its affiliates. All rights

38 Site Hub Site Management & Optimization solution Key challenges Single source of truth for site data Site selection and market & product placement Alignment/productivity of dependant processes Advertising, market planning & service Corporate governance risk & revenue recognition per site Site Hub solution provides MDM solution for sites/locations Site selection and market planning Store lifecycle management from site prospection, construction management, procurement and facilities management, from opening to closure Integration with Oracle EBS View sites on the map Sites with associated trade areas and demographics 39 Copyright 2011, Oracle and/or its affiliates. All rights

39 DRM (Data Relationship Management) Enhanced architecture: Full featured, browser-based client 64bit, Unicode and Global support Enterprise hierarchy management Allows easy navigation and manipulation Drag-and-drop, Compare and Blend Versioning, Audit Trail and History Analyze, Align corporate hierarchies with Oracle Customer Hub DRM Option Analytical MDM Reporting (Rollup) Hierarchies Enterprise Dimension Management Reference Data Management Customer Profitability Structures 40 Copyright 2011, Oracle and/or its affiliates. All rights

40 Achieve Single View of Customer With Common Party Model and 360 View Provide single view of internal and external party definition Ability to model multiple hierarchies in a drag and drop UI Tracks a complete history of changes to customer information including the context of the change. Single view of customer attributes, relationships and child entities via Customer 360 View. Ability to model any relationships between parties Unified infrastructure to capture cross reference for party and other entities 41 Copyright 2011, Oracle and/or its affiliates. All rights

41 Improve Customer Data Quality With embedded data quality, metrics and flexible resolution mechanism Prevent bad data from entering the system via integrated deduplication and cleansing capability during batch and realtime validation. Integrated metrics & dashboards enables continuous monitoring of customer data quality with direct link to corrective actions. Guided merge process to facilitate generation of best version record during consolidation Provide merge history and ability to exclude records from future merge consideration 42 Copyright 2011, Oracle and/or its affiliates. All rights

42 Enforce Enterprise Data Governance With Steward Dashboard, Productivity Management, and What-If Analysis Consolidate steward dashboard with embedded analytics to provide single landing page for all steward tasks. Manage steward productivity through assignment, escalation Maintain enterprise merge agreement rules via business rules engine Provide what-if analysis/ simulation capability during batch data management tasks to reduce errors and efforts in governance 43 Copyright 2011, Oracle and/or its affiliates. All rights

43 Fusion Oracle MDM: Investment and Differentiation Areas MDM Platform & Fusion MDM Fusion Alignment Industry Tailored for Industry Targeted towards Pain Points Integration Pre-Cabled, MDM Aware Foundation Components Governance & Content Information Data Governance Enrich with 3 rd Party Content Enterprise Grade Published Benchmarks Faster Deployments, Upgrades Thought Leadership Cloud, Social, Semantic MDM Additional Hubs / Domains Cloud, Social, Semantic MDM Additional Hubs/Domains 44 Copyright 2011, Oracle and/or its affiliates. All rights

45 Oracle Governance, Risk and Compliance GRC Intelligence GRC Manager GRC Controls The Power to Know The Power to Manage The Power to Enforce Custom or Legacy Applications 46 Copyright 2011, Oracle and/or its affiliates. All rights

46 Oracle Governance, Risk and Compliance GRC Intelligence Executive Dashboards GRC Manager Enterprise Risk Management GRC Controls SOD & Access KRIs and KPIs Compliance Management Application Configuration Preventive Controls Ad-Hoc Analysis Remediation Management Transaction Monitoring 360º Visibility Single source of GRC Information Pre-built dashboards Respond to KRI and issues Centralized GRC Oversight Common Repository for GRC Audit and Assessment of Controls Integrated remediation management Embedded Controls Detective, Preventive, Contextual Automated controls testing Pre-built controls library Custom or Legacy Applications 47 Copyright 2011, Oracle and/or its affiliates. All rights

47 GRC Intelligence Timely Access to GRC Information, Better Decisions GRC Intelligence GRC Manager GRC Controls 100+ pre-built KPIs for Risk, Certification, Controls, and Issues enable personalized reporting Self-service analysis and reporting with interactive dashboards and automated alerts Risk-based scoping with integrated account balance and GRC information GRC REPORTING & ANALYSIS Review GRC Dashboards Configure Risk & Control KPIs Investigate Troubling KPIs Monitor All Open Issues 48 Copyright 2011, Oracle and/or its affiliates. All rights

48 Issues Project Risk Create a Unified View of Risk and Compliance Across the Enterprise Unified View Compliance Status Reg 1 Reg 2 Open Issues Trend Control Performance Value vs Risk Reg 3 Time Project Value Across Multiple Functions Finance Suppliers R&D Mfg Sales HR Legal Customers Regions Technology Enterprise Applications Data Warehouse Database Mainframes Mobile Devices Apps Server Mandates SOX JSOX EU Directives FDA Basel II HIPAA Patriot Act Supply Chain Resiliency 49 Copyright 2011, Oracle and/or its affiliates. All rights

49 Enterprise GRC Manager Manage Risk and Compliance Across the Enterprise GRC Intelligence GRC Manager GRC Controls Central repository for policy, risk and compliance documentation Controls Automate certifications, audits, and management assessments Standards & Mandates Capture issues and manage remediation Risks Risk and Compliance Process Document Risk and Control Matrix Assess Scope Based on Risk Test Controls and Analyze Exceptions Remediate and Optimize Certify and Publish 50 Copyright 2011, Oracle and/or its affiliates. All rights

50 GRC Controls Automated Application Controls Monitoring Monitor Control Effectiveness GRC Intelligence GRC Manager GRC Controls SOD & Access Application Configuration Preventive Controls Transaction Monitoring What users have done What s changed in the process What are the execution patterns SOD & Access Application Configuration Transaction Monitoring Preventive What users can do How is the process set up How users execute processes Enforce Policies in Context 51 Copyright 2011, Oracle and/or its affiliates. All rights

51 Application Access Controls Governor Enforce Proper Segregation of Duties in Applications GRC Intelligence GRC Manager GRC Controls SOD & Access Application Configuration Preventive Controls Transaction Monitoring Simplify segregation of duties enforcement with simulation and remediation Mitigate risk of privileged user access to enterprise applications with approval workflow and audit trails Accelerate deployment and time to value with pre-delivered controls library Detection Prevention Define Access Controls Access Analysis Remediation (Clean-up) Preventive Provisioning Compensating Policies 52 Copyright 2011, Oracle and/or its affiliates. All rights

52 Configuration Controls Governor Ensure Integrity of Critical Application Setups GRC Intelligence GRC Manager GRC Controls SOD & Access Application Configuration Preventive Controls Achieve consistent application setup and operating standards across multiple instances Track complete audit trails for changes to key configurations Tightly control change management to accelerate development and test time Transaction Monitoring Detection Prevention Define Configuration Controls Document or Compare Configurations Monitor Configuration Changes Enforce Change Control Manage Data Integrity 53 Copyright 2011, Oracle and/or its affiliates. All rights

53 Transaction Controls Governor Identify Inaccurate or Fraudulent Transactions GRC Intelligence GRC Manager GRC Controls SOD & Access Application Configuration Preventive Controls Transaction Monitoring Business Elements from Designated Nationals list Business Elements Suppliers from various business applications Business Rules, written in Plain English, by Business People No Coding/Scripting Continuously monitor accuracy of transactions and mitigate exposure to fraud Test against thresholds Search for anomalies Perform transaction sampling Detection Prevention Define Transaction Controls Perform Transaction Analysis Review and Address Suspects Preventive Transaction Controls 54 Copyright 2011, Oracle and/or its affiliates. All rights

55 Best-Practice SOD Controls Library for Oracle & PeopleSoft ERP SOD Control Library Oracle Oracle R12 PeopleSoft 216 policies* 232 policies* 266 policies* *Note: Each policy is comprised of several sub-policies and controls based on its complexity, the sum total of these subpolicies and controls is over 3, Copyright 2011, Oracle and/or its affiliates. All rights

56 Compliant Access Provisioning Segregation of Duties in User Provisioning IDENTITY MANAGEMENT GRC CONTROLS! Set Up User Profile Determine User Role Validate with SOD Policies Violations Found New Hire, Change of Role Provision Application Access No Violations Remediate: Seek Approval Apply Mitigating Control Deny Access 57 Copyright 2011, Oracle and/or its affiliates. All rights

57 Automated Controls for Mixed Environments GRC Controls SOD & Access Configuration Transaction Custom or Legacy Applications Pre-built Extensible 58 Copyright 2011, Oracle and/or its affiliates. All rights

59 Oracle Policy Automation Oracle Policy Automation (OPA) is a new class of rules engine that makes determinations and accepts natural-language rule entry. A determination answers a question like Do I qualify? Natural-language rule entry means that you enter English language sentences using Microsoft Word and tabular information using Microsoft Excel no programming. The OPA Center of Excellence has the deepest product experts, but we are much more than product experts. Our OPA Consultants, who we call Policy Modelers, understand legislation, legal documents, corporate policy, and other rule-based source materials. In fact, most are lawyers or experts in rules based systems who apply disciplined logic to sometimes abstract source materials. Our approach takes requirements and creates a modeled Rulebase that serves as a template for rule development and 60 Copyright 2011, Oracle and/or its affiliates. All rights DRAFT ONLY

60 Oracle Policy Automation Mission to Optimize Policy Automation Used by many large national, state and local governments around the world Used for citizen self-service on many public websites, including the Internal Revenue Service s site, IRS.gov Use Oracle Policy Automation to: Provide consistent, interactive advice Determine eligibility Perform assessments Perform complex calculations all based on very complex legislation, regulations and policy Consistently recognized as a leader by industry analysts Easy, standards-based integration, using SOA, with Oracle and other products, including E-Business Suite, PeopleSoft and Siebel CRM, as well as with custom and legacy environments 20 years as a proven leader in policy automation Government agencies use OPA to serve tens of millions of citizens Dynamic self-service applications and high-volume enterprise automation based on complex policy and legislation 61 Copyright 2011, Oracle and/or its affiliates. All rights

62 Why OPA? Policy complexity is growing Changes are accelerating Budgetary pressures force efficiencies Accountability requires transparency Making accurate and consistent decisions is difficult when finely targeted policies are needed to deliver the best outcomes Security, geopolitical and financial events drive frequent changes and high expectations of enforcement Costly IT projects and resource-intensive call centers are expected to innovate, and deliver more with less Social media and freedom of information increase the pressure from customers to prove adherence to policies and standards 63 Copyright 2011, Oracle and/or its affiliates. All rights

63 Isomorphic Policy Modeling using Word Policy Documents are easily transformed into executable form Business analysts and policy experts are empowered to write rules in natural language in Microsoft Word, directly from source legislation Rules are harvested from documents to create an executable model but all rule maintenance is performed in the documents Source legislation or policy Copy source material, paste into Word & mark-up Executable document in natural language which business users understand and modify 64 Copyright 2011, Oracle and/or its affiliates. All rights

65 Rapid Web Deployment Dynamic Web-based Questionnaires Automatically generate an interactive interview The Oracle Web Determinations exposes the same rules through multiple channels Rules deployed to out-of-the-box web interface without the need for any programming Questions are automatically generated from rule source document Each user answer provided guides interview to next logical question 66 Copyright 2011, Oracle and/or its affiliates. All rights

66 Key Enabler: Determination Reporting Positive and Negative statements automatically created to explain determination Can be used to build the content for a letter of advice or audit Natural language engine provides personalization and pronoun substitution Copyright 2011, Oracle and/or its affiliates. All rights