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:
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.
The digital identity verification ensures that you comply with the AML- and KYC-rules on an international basis.
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.
The MatchUp transform provides advanced deduping/matching capabilities and survivorship rules to eliminate duplicates and create a single customer view.
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.