1 2011 Oracle Corporation

Введение в Oracle Enterprise Data Quality Александр Рындин Старший консультант 2 2011 Oracle Corporation

Program Agenda About Datanomic Introducing Oracle Enterprise Data Quality Introducing Oracle Watchlist Screening Q&A 3 2011 Oracle Corporation

Strategic Importance of Datanomic to Oracle 1. Data quality is a key enabler of trusted data for enterprise applications 2. Data quality is a key component of Oracle s vision for a complete enterprise data integration solution 3. Enables the delivery of data quality based applications 4 2011 Oracle Corporation

Data Quality Market Background Overall DQ Market $727 million in 2009 12% CAGR (Gartner MQ report, June 2010) DQ is highly related to Data Integration Master Data Management 65 Vendors listed & plotted on Gartner DQ Tools MQ Oracle is was only major stack vendor without own DQ mainstream DQ offering (PDQ is viewed as Niche) 5 2011 Oracle Corporation 5

Select Datanomic Customers Financial Services Manufacturing & Distribution Legal Healthcare Telecoms Publishing Government Retail 6 2011 Oracle Corporation

Unique Qualities of Datanomic Products Integrated DQ Solution Modern Architecture Designed as a Platform Seamless integration of all core DQ capabilities Engineered for business users Integrated team collaboration and management Easy to configure and integrate DQ Services Modern, open architecture (Java, SOA, etc.) Collaborative, multi-user project support Enables innovation and reuse Enables delivery of complete business solutions Allows partners opportunity to showcase their expertise and specialization 7 2011 Oracle Corporation

Introducing Enterprise Data Quality DQ-Based Solutions Business Solutions Domain Knowledge Enterprise Data Quality Profiling Parsing Match/Merge Case Management Customer-delivered Partner-delivered Oracle-delivered Analysis Standardization Reporting Pre-Built Solutions Pre-configured business solutions and domain knowledge Example is Oracle Watchlist Screening Can be delivered by Customers Partners Oracle Solutions can be components, processes, domain knowledge, up to complete applications Data Quality Platform End-to-end enterprise data quality solution spanning both customer and product data quality Highly configurable to match specific business needs Case management tools for tracking and webbased KPI reporting for increased productivity 9 2011 Oracle Corporation

Oracle s Information Management Strategy Oracle BI/EPM Watchlist Screening Oracle Applications 3 rd Party Applications Custom Applications Data Services Transaction Processing Services Business Intelligence Services Content Management Services Collaboration Services Information Management Customer Hub Product Hub Supplier Hub Financial Hub Site Hub Oracle MDM Oracle Data Integration Enterprise Data Quality Profiling Standardization Match/Merge ETL/E-LT Data Federation Replication Transformation Synchronization Storage Data Warehouse/ Data Mart OLTP System OLAP Cube Web and Event Services, SOA 10 2011 Oracle Corporation

Oracle Enterprise Data Quality Profiling Interactive exploration of data Identify distribution and outlying values Charting, metrics, drill-downs 11 2011 Oracle Corporation 11

Oracle Enterprise Data Quality Audit Validate data against business rules Publish results to data quality dashboard 12 2011 Oracle Corporation 12

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 13 2011 Oracle Corporation

Oracle Enterprise Data Quality - Matching Title: Mr First: Robert Last: Fulmar Gender: Male DoB: 12/05/1978 Phone: 555-120-1329 Address: 9405 Main St Fairfax Virginia 22030 First: Bob Last: Fulmar Gender: Male Email: chem291_rjf@barker.edu Title: Dr First: R Last: Fulmer DoB: 01/01/1978 Email: chem291_rjf@barker.edu Address: 9407 Main Street Fairfax VA 22031-4001 Title: Dr First: Robert Last: Fulmar Gender: Male DoB: 12/05/1978 Email: chem291_rjf@barker.edu Phone: 555-120-1329 Address: 9407 Main St Fairfax VA 22031-4001 Match & Merge data from disparate sources Create best record based on survivorship rules 14 2011 Oracle Corporation

Built for the Business User Short learning curve & time-to-value Solution for owners of the business problem Integrated team collaboration 15 2011 Oracle Corporation

Oracle Enterprise Data Quality 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 16 2011 Oracle Corporation

Customer Example: Screwfix Dealing with poor quality data Improving insight by knowing more about our customers Calculating & applying a customer segmentation model Challenge & Goals Solution Benefits Poor quality data: duplicate accounts, inconsistent data, multiple legacy databases Appending additional customer data from third parties to the correct person How to apply a multi level customer segmentation to over 15M customers without hard coding it? Integrate dn:director into an MDM to identify duplicates, cleanse and standardise data & provide a single customer view Match records using dn:director and append variables to database Use dn:director to calculate this and write back to database Reduced mailing costs Improved, accurate insight 1% reduction in returned mail: 60k Improved accuracy, re-usable fire and forget processes reduces time waste Quick to implement, low cost approach, flexible allowing changes to be made very quickly 17 2011 Oracle Corporation

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 19 2011 Oracle Corporation

Office of Foreign Assets Control (OFAC) List Approx 300,000 names just on US OFAC list... 21 2011 Oracle Corporation

Watchlist Screening Process Oracle Watchlist Screening 22 2011 Oracle Corporation 22

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 23 2011 Oracle Corporation

Customer Example: Vodafone Watchlist Screening M-Pesa: Simple, fast, affordable, secure Financial Inclusion Benefits vs. Money Laundering Risk Essential Anti-Money Laundering Tools Challenge & Goals Sanctioned individuals using M-Pesa Politically exposed persons using M-Pesa Know Your Customer compliance Customers with multiple accounts Lack of Anti-Money Laundering knowledge & resource in local markets High volume of customers Protecting the brand & reputation Solution Enterprise wide deployment of dn:sentry Dow Jones Watchlist sanction & PEP data Use data quality tools to identify non compliant KYC data Case Management interface provides full audit trail Also used as Anti-Corruption tool All 20 million + M-Pesa customers screened nightly Benefits Economies of scale Consistent standards Quality Assurance tool as well as watchlist screening Evidence of decision making process Ensures we our continued license to operate Assists with partnerships such as Western Union Setting the Standard in the AML Industry 24 2011 Oracle Corporation

Join the Community www.oracle.com/datanomic <Insert Picture Here> Twitter twitter.com/oraclemiddle Facebook facebook.com/fusionmiddleware Blogs blogs.oracle.com/mdm blogs.oracle.com/dataintegration 25 2011 Oracle Corporation 25

26 2011 Oracle Corporation Q&A