Melissa Data’s MatchUp for SQL Server Effectively Solves Business Challenge of Duplicate Customer Data

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Quality, Data Quality Components for SSIS, Duplicate Elimination, Golden Record, SQL Server Integration Services, Survivorship | , , , , ,

Data Quality Tool Consolidates Duplicates into Single Golden Record of Customer Data; Uniquely Determines Most Accurate Information Based on Objective Data Quality Score

Rancho Santa Margarita, CALIF- April 23, 2014 – Melissa Data, a leading provider of contact data quality and integration solutions, today announced new matching and de-duplication functionality in its MatchUp Component for SQL Server Integration Services (SSIS), uniquely solving the business challenge of duplicate customer data.… Read More

Fundamentals of SQL Server Contact Data Cleansing

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By
Joseph Vertido

New Webinar!
The roadblocks involved in implementing a solid routine for normalizing data can be extensive and can prove to be time consuming, especially when dealing with specific types of domains. In this new webcast, our data quality analyst Joseph Vertido, will help

you understand the major roadblocks in normalizing contact data (address, name, phone and email) and experience a new approach from Melissa Data, using plugins for Microsoft SQL Server Integration Services 2012 to effectively normalize contact data, all at no cost.… Read More

Melissa Data Highlights Data Quality Solutions at Enterprise Data World

Blog Administrator | Address Quality, Data Quality, Data Quality Components for SSIS, SQL Server Integration Services, Survivorship | , , , , ,

Melissa Data will demonstrate new “Golden Record” functionality in its MatchUp Component for SQL Server Integration Services (SSIS) at Enterprise Data World (EDW). MatchUp SSIS is a powerful tool for advanced matching and deduplication management. By integrating the Golden Record selection tool, MatchUp SSIS represents an industry breakthrough based on its ability to discern contact data information, and select the surviving record based on the level of quality of the information provided.… Read More

Cleansing Your Data Using SQL Server 2012 Data Quality Services (DQS) and Melissa Data

Blog Administrator | Data Integration, Data Management, Data Quality, Data Quality Components for SSIS | , , , , ,

Check out this video featuring a step-by-step/start-to-finish approach to cleanse and enrich address data using the new SQL Server 2012 Data Quality Services (DQS), and Melissa Data’s Datamarket Address Check service. From the video, you will learn how to create a comprehensive Data Quality project that leverages Melissa Data’s deep experience in address verification to cleanse, verify and standardize postal address information in SQL tables and Excel spreadsheets.… Read More