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Download This PDF! - Melissa Data

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<strong>Data</strong> Quality Components for SSIS and Pentaho <strong>Data</strong> Integration that deliver total data quality<strong>Data</strong> Integration Platforms<strong>This</strong> premier collection of <strong>Melissa</strong> <strong>Data</strong>’s powerful data verifi cation and enrichment tools provide a wide range of datatransformation, cleansing and enrichment functionality within SQL Server Integration Services (SSIS) and Pentaho <strong>Data</strong>Integration (PDI) – facilitating the success of ETL, BI, MDM and data governance initiatives.<strong>Data</strong> Enrichment and Verification Components:Contact Verification – Parse, validate, correct and geocodecontact information including U.S. and Canadian addresses,phone numbers, email addresses and full names.SmartMover – Detect movers and update your database withnew moved-to-addresses using USPS NCOALink and CanadaPost NCOA data.<strong>Data</strong> Matching and Cleansing Components:<strong>Data</strong> QualityComponentsfor SSIS<strong>Data</strong> QualityComponentsfor Pentaho <strong>Data</strong> Integration“<strong>Melissa</strong> <strong>Data</strong> has leveraged the extensibility of the SSIS platform to create components that support<strong>Data</strong> Quality and master data management (MDM) including the address verification that <strong>Melissa</strong><strong>Data</strong> is known for. <strong>This</strong> is an excellent example of how our partners enhance the value of SSIS, allowingcustomers to access best-of-breed functionality seamlessly integrated with SSIS.”-Denise Draper, unit manager for SSIS, MicrosoftEasy to use with intuitive interface and drop/drop functionality enables business users and databaseadministrators to deliver data quality routines without writing code.SSIS & PentahoFuzzy Matching – Use multiple fuzzy matching algorithms tolink or merge related records within or across datasets.MatchUp – Identify duplicate records for merge/purge effortsusing 35 different matchcodes.Six Steps to Managing <strong>Data</strong>Quality with SQL ServerIntegration ServicesValidation, Cleansing and Normalization – Correct datavalues, trim white spaces, and remove invalid characters<strong>Data</strong> Profiling and Monitoring Components:Profiling Components – Gather statistical information andpattern values in the data and identify quality issues that requireimmediate attention.<strong>Download</strong> this white paper at:www.<strong>Melissa</strong><strong>Data</strong>.com/wptdqitGet a free trial for <strong>Data</strong> Quality Components for SSIS at:www.melissadata.com/ssis10Get a free trial for <strong>Data</strong> Quality Components for Pentaho at:www.melissadata.com/pentaho10For more information about these products, proof of concept (POC)development, or consultation, call 1-800-635-4772, opt 3. Also seepage 17 for <strong>Data</strong> Quality Professional Services.12Call 1-800-MELISSA, Option 3 or visit www.<strong>Melissa</strong><strong>Data</strong>.com/DQTCall 1-800-MELISSA, Option 3 or visit www.<strong>Melissa</strong><strong>Data</strong>.com/DQT13

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