How can MDM Strategies Smoothen Supply Chain Management?

Melissa AU Team | Master Data Management | , , , ,

Data quality is critical to supply chain performance. In turn, this affects customer experiences and the organization’s growth. As sales volumes and marketing channels increase, supply chain professionals must be able to manage all the various data assets such as product data, customer data, vendor data, etc.… Read More

How Companies Are Winning on Customer Data During COVID-19

Melissa IN Team | Customers | , , ,

To survive the COVID-19 pandemic, companies have had to reassess their marketing strategies and adapt to the world of eCommerce. People who never thought they would shop online and retailers who prided themselves on the exclusivity of their brick and mortar presence have had to look at the digital environment as the new normal.… Read More

Melissa Data Launches Listware for Salesforce

Blog Administrator | Address Correction, Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, CRM, Data Management, Data Migration, Data Quality, Listware for Excel, Press Release, Salesforce | , , , , , , ,

Powerful Data Quality Plug-In Cleanses, Validates and Enriches CRM Information; Increases Customer Intelligence with
Property and Mortgage Data

 

Rancho Santa Margarita, CALIF. – June 10, 2014 – Melissa Data, a leading provider of contact data quality and integration solutions, today announced Listware®for Salesforce®, its powerful data quality plug-in that integrates data cleansing, validation, and enrichment directly into Salesforce.com’s… Read More

Improving Identity Resolution and Matching via Structure, Standards, and Content

Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Enhancement, Data Enrichment, Data Integration, Data Management, Data Profiling, Data Quality, Duplicate Elimination, Record Linkage | , , , ,

By David Loshin

One of the most frequently-performed activities associated with customer data is searching – given a customer’s name (and perhaps some other information), looking that customer’s records up in databases. And this leads to an enduring challenge for data quality management, which supports finding the right data through record matching, especially when you don’t have all the data values, or if the values are incorrect.
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Modeling Issues and Entity Inheritance

Blog Administrator | Data Management, Data Quality, Fuzzy Matching, Record Linkage | , , , , , ,

By David Loshin

In our last set of posts, we looked at matching and record linkage and how approximate matching could be used to improve the organization’s view of “customer centricity.” Data quality tools such as parsing, standardization, and business-rule based record linkage and similarity scoring can help in assessing the similarity between two records.
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