Survivorship | Global Intelligence Blog

May 1, 2017 Blog Administrator Data Governance, Data Integration, Data Management, Data Matching, Data Quality, Data Quality Components for SSIS, Data Steward, Data Warehouse, Duplicate Elimination, Fuzzy Matching, Golden Record, Householding, Identity Resolution, Record Linkage, SQL Server Integration Services, SSIS, Survivorship

Record Matching Made Easy with MatchUp Web Service

MatchUp®, Melissa's solution to identify and eliminate duplicate records, is now available as a web service for batch processes, fulfilling one of most frequent requests from our customers - accurate database matching without maintaining and linking to libraries, or shelling out to the necessary locally-hosted data files. Now you can integrate MatchUp into any aspect of your network that can…

September 9, 2014 Blog Administrator Address Check, Address Correction, Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Management, Data Matching, Data Quality, Data Warehouse, Duplicate Elimination, Golden Record, Healthcare Data Management, Press Release, SQL Server Integration Services, Survivorship

Melissa Data Helps Improve Quality of Care through a Single View of the Patient

New Company Magazine Features Data Quality Insights on Merging Duplicate Patient Records into a Golden Record, also Tips on Improving Healthcare Data Warehousing Rancho Santa Margarita, CALIF. - September 9, 2014 - Melissa Data, a leading provider of global contact data quality and data enrichment solutions, today announced matching and de-duping functionality that solves duplicate records for healthcare database administrators…

August 8, 2014 Blog Administrator Data Matching, Data Quality, Duplicate Elimination, Fuzzy Matching, Golden Record, Press Release, Record Linkage, SQL Server Integration Services, Survivorship

A 6-Minute MatchUp for SQL Server Tutorial

In this short demo, learn how to eliminate duplicates and merge multiple records into a single, accurate view of your customer - also known as the Golden Record - through a process known as survivorship using Melissa Data's advanced matching tool, MatchUp for SQL Server. Watch our video to learn more!

April 22, 2014 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

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

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),…

April 26, 2013 Blog Administrator Address Quality, Data Quality, Data Quality Components for SSIS, SQL Server Integration Services, Survivorship

Melissa Data Highlights Data Quality Solutions at Enterprise Data World

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…

October 29, 2012 Blog Administrator Address Quality, Analyzing Data, Analyzing Data Quality, Data Enhancement, Data Integration, Data Management, Data Quality, Survivorship

A Guide to Better Survivorship – A Melissa Data Approach

By Joseph Vertido The importance of survivorship - or as others may refer to as the Golden Record - is quite often overlooked. It is the final step in the record matching and consolidation process which ultimately allows us to create a single accurate and complete version of a record. In this article, we will take a look at how…