3. The Informatica Opportunity Key Customer Business Imperatives Improve Decisions Modernize Business Improve Efficiency & Reduce Costs Acquire & Retain Customers Outsource Non-core Functions Governance Risk Compliance Mergers Acquisitions & Divestitures Business Intelligence & Regulatory Reporting Legacy Retirement Application ILM Customer, Supplier, Product Hubs BPO Saas B2B Integration Application Consolidation Risk Mitigation & Regulatory Reporting Business Imperatives Increase Partner Network Efficiency IT Initiatives IT Projects Complex Event Processing Data Warehouse Data Migration Test Data Management & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation
4. People Improve Decisions Modernize Business Improve Efficiency & Reduce Costs Acquire & Retain Customers Outsource Non-core Functions Governance Risk Compliance Mergers Acquisitions & Divestitures Business Intelligence & Regulatory Reporting Legacy Retirement Application ILM Customer, Supplier, Product Hubs BPO Saas B2B Integration Application Consolidation Risk Mitigation & Regulatory Reporting Reusable Development Assets Process Technology The Informatica Opportunity Key Customer Business Imperatives Business Imperatives Increase Partner Network Efficiency IT Initiatives IT Projects Complex Event Processing Data Warehouse Data Migration Test Data Management & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation
5. Application Partner Data SWIFT NACHA HIPAA … Cloud Computing Unstructured The Informatica ApproachComprehensive, Unified, Open and Economical platform Database Complex Event Processing Data Warehouse Data Migration Test Data Management & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation
7. The Informatica PlatformComprehensive, Unified, Open, Economical Comprehensive Any data Anywhere Any time Any role Any use Unified All in one platform Open Works with what you have, now and future Economical Lower TCO + fast ROI
8. Why Informatica? Proven technology leadership A track record of Continuous Innovation The most neutral trusted partner Track record of customer success “To date, we’ve seen a return on our investment from this program over 2,000 percent”. “… complete, accurate and timely data is a fundamental requirement for optimal performance” A singular focus on Data Integration
9. Why Informatica?Proven Technology Leadership Major differentiator compared to other vendors is that it does not just wait for events to come to it but it can go out and get them for itself. Thus it provides agents that can gather events from front-office databases and applications as well as receiving them directly from relevant feeds Complex Events Processing “Informatica supports the requirements of cross-organizational data exchange, so users can apply familiar and trusted data integration tools and techniques to the relatively new and growing practice of B2B data integration.” Informatica was assessed as having the largest share, more than 33 percent, in packaged applications for database archiving based on number of customers for 2007 by Gartner, Inc. in a research report released October 13, 2008 “Informatica’s mission to integrate data from business to business… meets a need of many companies…Others in this market (including IBM, Microsoft and Oracle) have not yet pursued this progressive use of data integration” B2B Data Exchange Application ILM Cloud Data Integration Data Quality Enterprise Data Integration
27. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine
53. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine
80. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine Business Adapter
110. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine Business Adapter
142. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine Business Adapter
174. Data MaskingCore Data Integration Services Reliability, Scalability, and Security Services End to End Metadata and Data Traceability Real-time, Near Real-time, and Batch Data Processing Engine Business Adapter Open API
175. Data Quality Dimensions Framework What data is missing or unusable? Completeness Conformity What data is stored in a non-standard format? Consistency What data values give conflicting information? Accuracy What data is incorrect or out of date? What data records or attributes are repeated? Duplicates Integrity What data is missing or not referenced?
177. Unified metadata user experience: Making the right metadata available to the right people at the right time in the right way Unified Shared Metadata Improve collaboration
178. Informatica Data Quality Informatica PowerCenter Informatica OnDemand Informatica B2B Data Exchange Single Runtime EngineProven reliability, scalability & lower administration cost Unified Runtime Engine Grid Scalability, Parallelism High Availability Security Logging
188. People Reusable Development Assets Process Technology The Elements End-to-End Integration Services 1 RealDolmen Professional Services acting as a true Single-Sourcesupplier Proven Methodology 2 Velocity Methodology 3 Proven Technology Informatica’s MarketLeading Integration & Data Quality Tools
189. Methodology – Informatica Velocity Proven Methodology based on 100’s of engagements Best Practices for successful Migrations Purpose-built tools and assets for Data Migration Convert early, often and with real production data to Uncover scope and magnitude of data quality issues Establish benchmarks to estimate length & scope of project Provide value to business users from onset Manage Architect Analyze Operate Deploy Design Build Test
