Record Matching Made Easy with MatchUp Web Service

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 | , , , , , , ,

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.
Read More

A 6-Minute MatchUp for SQL Server Tutorial

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

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.Read More

Centricity and Connections: Clearing the Air

Blog Administrator | Address Quality, Analyzing Data, Customer Centricity, Data Quality, Record Linkage | , , , ,

By David Loshin

There are opportunities for adjusting your strategy for customer centricity based on understanding the grouping relationships that bind individuals together (either tightly or loosely). And in the last post, we looked at some examples in which linking customer records into groups was straightforward when the values to be compared and weighted for similarity are exact matches.

Read More

Customer Centricity and Connections: Establishing the Link

Blog Administrator | Customer Centricity, Data Management, Data Quality, Record Linkage | , ,

By David Loshin

In my last post, we began to look at the value proposition for grouping individual customers into logical groupings. We began by looking at a grouping that generally appears naturally, namely the traditional residential household.

We talked about householding in a previous blog posting, but it is worth
reviewing the basic approaches used for determining that a group of individuals
share a household.… Read More