SOURCE: Melissa Data

Melissa Data

November 17, 2010 11:56 ET

Melissa Data Announces Microsoft SSIS Components for Data Quality and Enrichment

New Components for SSIS Are the Most Affordable, Full Featured Data Quality Tools to Deliver a Single View of Enterprise Data

RANCHO SANTA MARGARITA, CA--(Marketwire - November 17, 2010) - Melissa Data, a developer of high performance data quality and address management solutions, today announced their new Data Quality Components for Microsoft's SQL Server Integration Services (SSIS). This suite of custom data transformations delivers the industry-recognized criteria for complete Data Quality(i), including Data Profiling, Cleansing, Parsing, Standardization, Matching, and Monitoring. The tools aim to help IT professionals integrate increasingly complex enterprise data -- in different formats, structures and sources -- and deliver a single view of critical information assets. 

Previously, implementing Master Data Management (MDM) or Data Quality initiatives involved extensive manual coding efforts or the need to purchase expensive data integration tools. Now, with Data Quality Components for SSIS, users can build their own toolkit at a very reasonable price to get exactly the functionality needed for the project.

"We've found that roughly 60 percent of databases contain outdated or flawed data, or contain at least one or more errors," explains Ira Whiteside, Melissa Data's business intelligence analyst. "Melissa Data solves this problem by offering software with an easy-to-use GUI that delivers 'any source, any target' capabilities without the need for complex programming -- all at a fraction of the cost of other enterprise data quality platforms."

Data Quality Components for SSIS comprises three sets of transforms:

1. Data Profiling and Monitoring: Identifies data quality issues that require immediate attention and corrects issues before quality of data declines.

2. Data Enrichment and Verification: Verifies contact data including: addresses, phone numbers, and email addresses, geocoding (spatial processing); and parses/genderizes names and detects vulgarities. 

3. Data Matching and Cleansing: Corrects data values to meet specific business rules and standards, then consolidates customer records into identifiable groups and merges related records.

Demonstration videos and free trials of all SSIS components are available at:

Celebrating its 25th anniversary, Melissa Data is a data quality and enrichment solutions provider and Oracle Partner. The company was named #1 in Customer Satisfaction in a 2009 data quality survey report conducted by the analyst house: The Information Difference. Melissa Data's multiplatform programming tools and Web services verify, correct, enrich, and update U.S., Canadian, and global contact data for improved communications and ROI. For more information or free product trials, visit or call 1-800-MELISSA (635-4772).

(i) As defined by Gartner

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