Integrated Data Quality Components for SQL Server

Data Quality and Enhancement Transforms for SQL Server Integration Services (SSIS)

Melissa’s Data Quality Components for SSIS is a unique set of global data quality tools for Microsoft’s integration and ETL (extract-transform-load) solution that empower users to collect data from any source, clean and enrich it during migration and integration operations, to gain immediate insight for actionable intelligence.

Achieve better insight with clean, accurate customer data
Easily onboard, apply standards, enforce rules, cleanse, and enrich Big Data
Run data quality on premise and in the Cloud

Melissa Data Quality and Enhancement Transforms

Melissa leverages the integration power of SQL Server to provide a full spectrum of data quality with the following transforms:

Profiler

The Profiler transform generates patterns and statistics to identify weaknesses in your data quality process and gain insight into the actual health of your data.

Contact Verify

The Contact Verify transform verifies, corrects, and standardizes U.S and Canada postal addresses, email addresses, and phone numbers and coverts US addresses to roof-top latitude/longitude coordinates.

Global Verify

The Global Verify transform verifies, corrects and standardizes postal addresses, email addresses, and phone numbers for 240+ countries, plus converts street addresses to precise latitude/longitude coordinates.

Personator

The Personator transform verifies identity, validates postal address, email address, and phone number, plus updates the current address for a contact and enriches records with missing email, phone, address data and demographic info.

Personator World

The Personator World transform verifies an individual’s national ID, provides age verification, and performs watchlist/sanctions screening for fraud prevention and KYC/AML compliance.

MatchUp

The MatchUp transform provides advanced deduping/matching capabilities and survivorship rules to eliminate duplicates and create a single customer view.

Fuzzy Matching

The Fuzzy Matching transform compares and matches single and multiple columns using a toolbox of algorithms to identify hard-to-spot similar and duplicate records.