Thank you for attending the MDM for the Enterprie Seminar Serie! Pleae do not ditribute thi preentation without permiion from the peaker (ee contact information within.) Thi i jut intended a an additional reference for eminar participant. Keep in touch! What other MDM event, topic, article or reource will help you? Email editor@earchdatamanagement.com with your thought.
Silver Creek Sytem Automated Data Matering for MDM Martin Boyd, VP Marketing www.ilvercreekytem.com
I Your MDM a Bridge to Nowhere? 50% of MDM implementation i data remediation AMR Reearch 2
MDM Implementation Effort 10% - MDM oftware implementation 40% - Etablih governance & document mater data architecture 50% - Data remediation Clean-up to meet the new rule Find duplicate Eliminate dicrepancie Fill gap Data Matering Getting your data right and keeping it right AMR Reearch - MDM Strategie for Enterprie Application, April 2007 3
Wouldn t it be nice If your MDM ytem could tandardize, enrich, match, repurpoe and govern data From any ource (legacy ytem, manufacturer, upplier, cutomer etc.) In any format (tructured, untructured, tandardized, non-tandard etc.) In any category (product, vendor, manufacturer, cutomer etc.) In high volume Without needing to write a lot of rule Without a lot of manual effort or intervention with Automated Data Matering, it CAN! 4
Silver Creek Sytem Provide Scalable, real-time plug-in ervice The marriage of Data Integration, Data Quality and Data Governance Automated Data Matering Uing next-generation emantic technologie to tandardize, enrich, match, repurpoe and govern data from any ource, any format, any category 5
Data Matering with the DataLen Sytem Multiple Source Multiple Data Type Multiple Format Automated Data Matering Service Semantic Recognition & Tranformation Buinepecific rule Single format Validated Improved Ready for MDM In-line ervice or tandalone application to: Standardize Enrich Claify Match Tranlate Validate Remediate Re-purpoe Govern 6
10 9 8 7 6 5 4 3 2 1 0 y e g rt y e Data Matering for MDM Clean-up Load Standardize, claify, enrich, de-dup exiting data Match Standardize, validate, enrich, dedup before loading Validate MDM Repoitory Standardize & match baed on tructured and untructured information Advanced Publihing Real-time validation to enforce tandard Governance Scorecard Retructure & cutomize for output - (re-)tandardize, (re-)claify, tranlate 9 8 7 6 5 4 3 2 1 0 b nt Ae quality, completene, validity, compliance, trend etc. 7
Next-Generation Approach Traditional Sytem V. DataLen Sytem Baic technology Syntactic look for repeated pattern Semantic Look for meaning, not pattern Rule are Hand-coded written & maintained by IT Auto-learning ytem teache itelf Learning from exception Procedural IT write code Code-free Buine uer point & click 8
Alternative Approache to Data Matering Manual effort Expenive Non-calable One-time fix Poor quality reult Cutom code Cutom code Expenive to build and maintain Perform poorly with unpredictable/untructured data Difficult/expenive to maintain Traditional oftware DQ DI Perform poorly with unpredictable/untructured data Relie on cutom code extenion DataLen Sytem Reduce deployment time, cot, rik Improve and maintain quality Improve MDM flexibility and value 9
I Your MDM a Bridge to Nowhere? Don t rik it! Find out more at Silver Creek Sytem booth 10