Introducing the New and Improved Global Email Web Service

Melissa Team | Address Quality, Address Validation, Analyzing Data, Analyzing Data Quality, Data Profiling, Data Quality, Email Verification | , , , ,

How It Can Protect and Increase Your Email Reputation Score

By Oscar Li, Data Quality Sales Engineer/Channel Manager for Global Email

Melissa Data recently introduced several improvements and new features to its Global Email Web Service – 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 over the freshness of data returned
  • Better unknown status detection capability

In terms of the service’s new features, Global Email now offers two validation modes: Express and Premium.… Read More

Melissa Data Completes the Data Quality Circle with Addition of Profiler Tool for SQL Server Integration Services

Blog Administrator | Address Quality, Address Validation, Address Verification, Analyzing Data, Analyzing Data Quality, Data Management, Data Profiling, Data Quality, Data Quality Components for SSIS, Data Warehouse, MDM, Press Release, SQL Server Integration Services | , , , , , ,

Flagship SSIS Developer Suite Now Enables Data Assessment and Continuous Monitoring Over Time; Webinar Adds Detail for SSIS Experts


Rancho Santa Margarita, CALIF – March 17, 2015 – Melissa Data, a leading provider of contact data quality and address management solutions, today announced its new Profiler tool added to the company’s flagship developer suite, Data Quality Components for SQL Server Integration Services (SSIS).… Read More

Data Profiling: Pushing Metadata Boundaries

Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Management, Data Profiling, Data Quality, Golden Record | , , , , ,

By
Joseph Vertido
Data Quality Analyst/MVP Channel Manager

Two truths about data: Data is always changing. Data will always have problems. The two truths become one reality–bad data. Elusive by nature, bad data manifests itself in ways we wouldn’t consider and conceals itself where we least expect it. Compromised data integrity can be saved with a comprehensive understanding of the structure and contents of data.
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Validation of Data Rules

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

By David Loshin

Over the past few blog posts, we have looked at the ability to define data quality rules asserting consistency constraints between two or more data attributes within a single data instance, as well as cross-table consistency constraints to ensure referential integrity. Data profiling tools provide the ability to both capture these kinds of rules within a rule repository and then apply those rules against data sets as a method for validation.
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More About Data Quality Assessment

Melissa Team | Address Quality, Analyzing Data, Analyzing Data Quality, Data Management, Data Profiling, Data Quality, 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 with defined constraints on a column-by-column basis.
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