Copyright © 2012, Oracle And/Or Its Affiliates. All Rights Reserved. 18 EDQ Customer Data Services Pack

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Copyright © 2012, Oracle And/Or Its Affiliates. All Rights Reserved. 18 EDQ Customer Data Services Pack 1 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Enterprise Data Quality Product Overview and Roadmap Martin Boyd – Senior Director, Product Strategy Mike Matthews – Director, Product Management October 2012 Session – CON8834 2 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. 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 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Program Agenda Product Overview Updates & Roadmap Product Demonstration 4 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. What do you need to know about EDQ? Broadest DQ offering – Best of breed capabilities for both Party Data and Product Data – Profiling, standardization, matching, case management, governance Most usable DQ offering – Completely integrated offering – designed to work together – Designed for business and technical users – Transparent operation and results – no black boxes Pervasive operation for enterprise data quality governance – Within legacy systems and MDM Hubs – As part of migration/system load – On data entry/capture – As part of data movement/transfer 5 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Business Impact of Data Quality With Bad Data With Good Data • Reduced ROI • Increased ROI on existing systems • Increased project risk, time and cost • Increased agility • Expensive downstream consequences – • Increased efficiency wrong shipment, wrong invoices, • Increased customer satisfaction incorrect parts… • Increased scalability “Only 30% of BI/DW “Data integration and data quality are implementations fully succeed. fundamental prerequisites for the “#1 reason CRM projects fail: The top two reasons for failure? successful implementation of enterprise Data Quality” Budget constraints and data applications, such as CRM, SCM, and quality .” ERP.” ” 6 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Practical Applications and Value Drivers of DQ Better Risk Management Revenue Generation IT Agility & Customer Retention Operations & Compliance CrossCross--SellSell / 11stst Time Accurate Lower Operations Law Enforcement UpUp--SellSell Deliveries & IT Costs / Privacy Differentiated Accelerate New Accelerate New Fraud Prevention / Service Delivery Product Introduction IT Projects Compliance Foundation or Rationalization for CRM Foundation or Rationalization for SCM/ ERP/Fulfillment DQ/MDM as… An addadd--onon to CRM or ERP Technology Foundation Marketing/ Compliance Application 7 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Typical Customer/Party Data Issues Variation or Variation or Example Example Error Error Transcription Sequence errors • Mark Douglas or Douglas Mark • Hannah, Hamah mistakes Involuntary Missing or extra • Browne – Brown • George W Smith, George Smith, Smith corrections tokens Concatenated Foreign sourced • Khader AL Ghamdi, Khadir A. • Mary Anne, Maryanne names data AlGamdey Nicknames and Unpredictable • Chris – Christine, Christopher, Tina • John Alan Smith, J A Smith aliases use of initials • Full stops, dashes, slashes, titles, Transposed Noise • Johnson, Jhonson apostrophes characters Abbreviations • Wlm/William, Mfg/Manufacturing Localization • Stanislav Milosovich – Stan Milo • 12/10/1915, 21/10/1951, 10121951, Truncations • Credit Suisse First Bost Inaccurate dates 00001951 Prefix/suffix Transliteration • MacDonald/McDonald/Donald • Gang, Kang, Kwang errors differences Spelling & typing • P0rter, Beht Phonetic errors • Graeme – Graham errors 8 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Typical Product/Item Data Issues 10hp motor 115V Yoke mount MOT-10,115V, 48YZ,YOKE Item Motor mtr , ac(115) 10 horsepower 115volts Classification 26101600 This 10hp yoke mounted motor is rated for Power 10 horsepower 115V with a 5 year warranty Voltage 115 10 Caballos, Motor, 115 Voltios Mounting Yoke TEAO HP = 10.0 1725RPM 115V 48YZ YOKE MTR Motor, TEAO, 1725 RPM, 48YZ, 15 Voltios, Montaje de Yugo, hp = 10 9 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Data Quality Maturity Progression DQ + MDM Greater coverage, greater impact – Multiple Domains DQ + MDM Hubs persist and sync data – leveraged impact – Single Domain DQ Process/ DQ ‘Masters’ data in legacy applications with System repeatable process DQ Tools Project based – benefits are short lived CHAOS! No tools, no process – the Wild West! 10 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Enterprise Data Quality Integrated Solution for All Data Quality Problems Govern • Process metrics • Case Management Monitor effectiveness & resolve problems • Quality metrics • Remediation • Party (individuals, • Semantic • Match review Match households) match (category) match • Merge/survivorship Identify & merge duplicates • Entity match • Statistical match • Global parse • Transform • Substitute Standardize • Category parse • Address verification • Enrich Drive conformance to standards • Extract & geocoding • Classify Common Access/UI Access/UI Common Common • Statistics • Duplicates Profile • Patterns • Completeness Quickly understand data content • Phrases • Max/min values 11 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Enterprise Data Quality Integrated Solution for All Data Quality Problems Broadest DQ offering Govern • Best of breed capabilities for both Party Data and Product Monitor effectiveness & resolve problems Data • Profiling, standardization, matching, case management, governance Match Identify & merge duplicates Most usable DQ offering • Completely integrated offering – designed to work together • Designed for business and technical users Standardize • Transparent operation and results – no black boxes Drive conformance to standards Pervasive operation for enterprise quality governance • Within legacy systems and MDM Hubs Common Access/UI Access/UI Common Common Profile • As part of migration/system load • On data entry/capture Quickly understand data content • As part of data movement/transfer 12 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. DQ Spans MDM and Data Integration Oracle Watchlist Oracle 3rd Party Custom BI/EPM Screening Applications Applications Applications Transaction Processing Business Intelligence Content Management Collaboration Data Services Services Services Services Services Information Management Customer Hub Product Hub Supplier Hub Financial Hub Site Hub Oracle Oracle Enterprise Data Quality MDM Data Profiling Standardization Match/Merge Integration ETL/E-LT Data Federation Replication Transformation Synchronization Storage Data Warehouse/ OLTP OLAP Cube Web and Event Data Mart System Services, SOA 13 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Program Agenda Product Overview Updates & Roadmap – EDQ Platform Convergence – EDQ V9.0 Update [See Appendix 1 for more detail] – EDQ for Product Data V11.1 Update [See Appendix 2 for more detail] Product Demonstration 14 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. EDQ Investment Timeline 2010 2011 2012 2013 Acquisition: Silver Deeper PIM integration Statistical Match Creek Systems Platform interoperability Fusion PIM integration (Focus on Product Data) (linked execution) Expanded remediation PIM integration certification Convergence Platform convergence (integrated process design and execution) Single Admin environment Acquisition: Datanomic Fusion Customer Hub & Fusion CRM integration (Focus on customer data and Customer data services Cloud-based DQ services compliance) Expanded UI localizations Siebel integration certification Customer data health checks Platform interoperability Expanded Siebel integration (linked execution) Platform interoperability (integrated execution) 15 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. EDQ Investment Areas Integration Advanced Core Platform Governance Across Oracle Techniques Continue to drive Expand Governance Out-of-the-box DQ ease of use & time to to include operational Auto-tuning of rules for Fusion Apps value confidence reporting Continue best-of- Auto -detection of breed capabilities for Enhanced metadata SaaS /Cloud Services anomalies (outlier Customer and integration for Fusion detection) Product DQ Expand process Entity identification & intelligence, rules Endeca, ATG, EBS… extraction for Big and reference data Data across locales Additional UI Localizations 16 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Program Agenda Product Overview Updates & Roadmap – EDQ Platform Convergence – EDQ V9.0 Update [See Appendix 1 for more detail] – EDQ for Product Data V11.1 Update [See Appendix 2 for more detail] Product Demonstration 17 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. EDQ V9.0 – Headlines Customer Data Services Pack (9.0.3) – Pre-packaged services for ‘attached DQ’ in applications working with party data Integrated Address Verification – Pre-packaged with CDS for on-board international address verification and geocoding New UI Localizations – French, Italian
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