Cleanse, update and consolidate contact records with Data Quality Components for SQL Server Integration Services (SSIS)

Version 3.1 of Data Quality Components for SSIS provide all of the criteria necessary for complete Data Quality as defined by Gartner™. These components easily install into SSIS to address data quality issues involved in Business Intelligence (BI), Master Data Management (MDM), and data governance initiatives and to help IT professionals deliver an accurate, single view of critical information assets.

Features and Benefits of Data Quality Components
    • Affordable, data integration tools for data quality that complement ETL, MDM, and data governance
    • Easy to use with intuitive interface and drop/drop functionality
    • Enables business users and database admins to deliver data quality routines without writing code

“Melissa Data has leveraged the extensibility of the SSIS platform to create components that support Data Quality and master data management (MDM) including the address verification that Melissa Data is known for.”

- Denise Draper, Microsoft unit manager for SSIS

Data Enrichment and Verification Components
	Contact Verify Parse, validate, correct, and geocode contact information including U.S. and Canadian addresses, phone numbers, email addresses, and full names.	SmartMover Detect movers and update your database with new moved to addresses using USPS NCOA^Link and Canada Post NCOA data.
Data Matching and Cleansing Components
	Fuzzy Match Use multiple fuzzy matching algorithms to link or merge related records within or across datasets.	MatchUp Identify duplicate records for merge/purge efforts using 35 different matchcodes.