A Quick and Easy Way to Grow Your Email List

Blog Administrator | Email Append | , , ,

Email marketing is a key factor of every successful
marketing strategy. It’s direct, yields high response, and is trackable. A
great way to expand email marketing is to add email addresses to your postal
customer base. The good news is that there is a quick and affordable way to do
that and expand your email list in order to directly engage your customers.… Read More

Achieving a Single Customer View Through Data Quality

Blog Administrator | Data Quality | , ,

Pretty much every CRM system is missing one or more pieces
of data for any given customer. Missing data equals knowledge you don’t have on
your consumer. Not only does this affect your customer service and marketing
efforts, but it also takes away from your business intelligence.

The thing is, most companies have the necessary data. It
just happens to be fragmented or scattered.… Read More

Melissa Data Named to DBTA 100: Companies That Matter Most in Data

Blog Administrator | Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Quality, Press Release | , , , , ,

Rancho Santa Margarita, CALIF, June 2, 2015 – Melissa Data, a leading provider of international contact data quality and address management solutions, today announced it was named for the third consecutive year to the DBTA 100, Database Trends and Applications magazine’s list of the companies that matter most in data.


“Clean, consistent and complete customer data is at the heart of smooth business operations.… Read More

Contact Data and Identifying Information

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Quality | , , ,

By David Loshin

When inspecting two records for similarity (or for differentiation), the values in the identifying attributes from each corresponding record are compared to determine whether the two records can be presumed to represent the same entity or distinct entities.

For people, there are some obvious attributes used for comparison – they are ones that are inherently associated with the individual, such as first name, last name, birth date, eye color, or birth location.… Read More

Garbage In …

Melissa Team | Data Cleansing, Data Quality | , ,

By Elliot King

We all know that dirty data is not really dirty; it is just incorrect. Data
cleansing consists of correcting mistakes in the data.

Mistakes make their way into contact data in several different ways. It may just
be wrong or incomplete; it may not be updated; and it may be duplicated if small
variations are entered into the contact information each time a customer gets in
touch your organization.… Read More