Record Linkage - Global Intelligence Blog

Melissa Offers Insight on How a Healthy Data Lifecycle Supports Smart Business Decisions

Author | Address Check, Address Correction, Address Quality, Address Standardization, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Article, Big Data, BusinessCoder, Canada Post, Canadian Change of Address, CASS Certification, Clean Suite, Data Cleansing, Data Enhancement, Data Enrichment, Data Matching, Data Profiling, Data Quality, Demographics, Digital Identity Verification, Direct Mail, Duplicate Elimination, eIDV, Email Append, Email Marketing, Email Verification, Firmographics, Fuzzy Matching, Geocoding, Global Address Verification, Global Data Quality, Global Email, Global ID Verification, Global IP Locator, Global Name, Global Phone Verification, Golden Record, HIPAA, Householding, Identity Resolution, International Address Verification, IP Location, Location Intelligence, Mailing & Shipping, Mailing Lists, Marketing, MAT, Matching, MDM, Melissa Developer, Melissa Informatics, NCOA, News & Events, PAVE Certified, Presorting, Press Release, Property Data, Quick Tips, Record Linkage, Tips & Solutions, U.S. Property Service, Web API | analytics, BI, big data, business intelligence and analytics, change of address, cleansing, COA, contact data quality, data quality, Data Solutions, data tools, deduping, demographics, enrichment, firmographics, global data quality, IP Location, matching, MDM, property data, survivorship, target marketing, updating, verification

New Resource Touts the Importance of Full Spectrum Protection to Combat Data Pitfalls

Rancho Santa Margarita, CALIF – March 6, 2019 – Melissa, a leading provider of global contact data quality and identity verification solutions, today announced availability of the 2019 Melissa Solutions Catalog, a new resource that shares a wealth of information on the importance of good data, including how to address the full spectrum of data quality from point-of-entry ID verification to deduping, and cautions against the pitfalls of bad data and its negative impact to any business.… Read More

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 | data matching, data quality, deduplication, duplicate elimination, Fuzzy Matching, Golden Record, record matching, 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.

Now
you can integrate MatchUp into any aspect of your network that can communicate
with our secure servers using common protocols like XML, JSON, REST or SOAP.… 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 | advanced matching, eliminate duplicate records, Golden Record, 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.

Watch our video to learn more!

Centricity and Connections: Clearing the Air

Blog Administrator | Address Quality, Analyzing Data, Customer Centricity, Data Quality, Record Linkage | address match, appending data, customer records, linkage, Melissa Data

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. When the values are not exact, it introduces some level of doubt into the decision process for including a record into a group.

Customer Centricity and Connections: Establishing the Link

Blog Administrator | Customer Centricity, Data Management, Data Quality, Record Linkage | data records, Melissa Data, 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