Data Quality Assessment – Global Intelligence Blog

February 4, 2019January 21, 2019 Melissa UK Team Address Check, Address Correction, Address Quality, Address Verification, Analyzing Data, Analyzing Data Quality, Big Data, Data Management, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, United Kingdom

The Role of Data Quality for Charities

2% of contact data is subject to inaccuracies every month which means that almost 25% of data is corrupted on an annual basis. However, new statistics demonstrate that organisations find almost 30% of their contact data to be inaccurate. This is not an alarming statistic as smart technology has meant that we are more connected than ever, but it has…

November 9, 2017 Blog Administrator Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Management, Data Quality, Data Quality Assessment, Global Data Quality, Personator World

Know Your Customer with Personator World – Cloud-Based Identity Resolution and Verification Engine

By Kevin Ubay-Ubay, Sales EngineerPersonator World is Melissa's new powerful cloud based web service that gives a simple and single way to clean and verify your contact data globally. This service leverages our experience in name, phone, address & email validation to provide comprehensive contact checking and combines high quality identity level verification. Some examples of where our new web…

September 29, 2017 Blog Administrator Data Quality, Data Quality Assessment, Data Quality Services, Duplicate Elimination, Express Entry

Say Goodbye to Bad Data Before it Enters Your System with Global Express Entry

By Edward Dombrowski Data Quality Analyst Maybe you're already familiar with the way Express Entry and Express Entry Desktop Edition can autocomplete addresses - just select the country and type in the beginning of an address, and the service can fill in the missing information, using address data from over 240 countries. But did you know the many benefits to autocompleting…

September 28, 2017 Blog Administrator Data Quality, Data Quality Assessment, Global Phone Verification

Validating Global Phone Numbers 101: A Quick, Easy Tutorial

By Allison Moon Data Quality Analyst With the advent of global communications and business, chances are you are not only capturing addresses of your contacts, but contact phone numbers as well. This is where Melissa's Global Phone Object comes into play. Global Phone Object validates registered phone numbers in more than 240 countries and territories, as well as enrich your data by appending…

September 27, 2017 Blog Administrator Data Cleansing, Data Management, Data Quality, Data Quality Assessment, Data Quality Services, E-Mail, Email Verification, Quick Tips

How Global Email Verification Solution Can Protect and Increase Your Email Reputation Score

By Oscar Li, Data Quality Sales Engineer/Channel Manager for Global Email Melissa recently introduced several improvements and new features to its Global Email Verification Solution - an all-in-one real-time email mailbox validation and correction service. Here's a quick list of our latest improvements: Improved fuzzy matching of domain corrections Updated our TLD database with the newest ICANN info Increased control…

September 27, 2017 Blog Administrator Data Audit, Data Cleansing, Data Enhancement, Data Enrichment, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, Tips & Solutions

Discover Data Quality Issues Before they Arise

By Taky Djarou, Data Quality Analyst Melissa has released its new data Profiler API. The Profiler Object offers a unique approach to profiling your data, combining years of contact data quality experience, the power of many Melissa Objects, and data source tables to help you dig deeper into your data and return hundreds of properties about the input table, columns…

April 27, 2017 Blog Administrator Address Verification, Analyzing Data, Analyzing Data Quality, Big Data, Big Data Blend, Data Cleansing, Data Governance, Data Integration, Data Management, Data Matching, Data Profiling, Data Quality, Data Quality Assessment, Global Address Verification, MDM

Better Marketing Starts with Better Data

Improve Data Quality for More Accurate Analysis with Alteryx and Melissa Organizations are under more pressure than ever to gain accurate contact data for their customers. When your consumer base ranges from Los Angeles to Tokyo, it can be challenging. Poor data quality has a critical impact on both the financial stability as well as the operations of a…

October 28, 2013 Blog Administrator Analyzing Data, Analyzing Data Quality, Data Quality, Data Quality Assessment

Data Quality Dimensions Can Raise Practical Concerns

By Elliot King As everybody knows, data quality is usually measured along seven dimensions--the four Cs of completeness, coverage, consistency, and conformity plus timeliness, accuracy and duplication. And the general method to judge data quality is to establish a standard for each of these dimensions and measure how much of the data meets these standards. For example, how many records…

July 24, 2013 Blog Administrator Address Quality, Analyzing Data, Analyzing Data Quality, Data Management, Data Profiling, Data Quality, Data Quality Assessment

More About Data Quality Assessment

By David Loshin In our last series of blog entries, I shared some thoughts about data quality assessment and the use of data profiling techniques for analyzing how column value distribution and population corresponded to expectations for data quality. Reviewing the frequency distribution allowed an analyst to draw conclusions about column value completeness, the validity of data values, and compliance…

July 19, 2013 Blog Administrator Analyzing Data, Analyzing Data Quality, Data Profiling, Data Quality, Data Quality Assessment, USPS

Data Quality Assessment: Value Domain Compliance

By David Loshin To continue the review of techniques for using column value analysis for assessing data quality, we can build on a concept I brought up in my last post about format and pattern analysis and the reasonableness of data values, namely whether the set of values that appear in the column complies with the set of allowable data…