Melissa Data Quality Platforms
Melissa's Full Spectrum DQ Approach. Learn MoreMelissa Data Quality
Verify, correct & cleanse contact data in 240+ countries.Melissa Identity Verification
Reduce fraud and comply with KYC/AML laws.Melissa E-Commerce / CRM
Apps and APIs for higher conversions, better data and more reliable shipping. See All Melissa IntegrationsMelissa Industries
Use our data quality solutions for a wide range of industries.Service Bureau
Melissa's consulting services are customized to your projects.SaaS
Clean and update your data in the cloud, no software required.Verify & enrich your records with multi-sourced, authoritative reference datasets.
Melissa’s Data Quality Components for SSIS offer a powerful suite of global data quality and enrichment tools designed to integrate seamlessly with Microsoft’s SQL Server Integration Services—whether deployed on-premises or in the cloud via Azure Data Factory.
Available throughout both traditional and cloud-based integration workflows – delivering actionable intelligence for better decision-making.
Take your data quality workflows to the cloud with full support for Azure Data Factory. Melissa’s SSIS components run natively on Azure’s SSIS Integration Runtime (SSIS IR), bringing the same powerful data cleansing and enrichment capabilities to your cloud pipelines.
Whether you’re migrating existing packages or building new ones, Melissa makes the transition smooth. All familiar components can be deployed within your Azure environment, delivering consistent, accurate and reliable data across your systems.
Easy Deployment - Works seamlessly on Azure Data Factory.
Simple Setup - Follow our step-by-step guidance.
Effortless Migration - Continued use of existing SSIS packages and Melissa components with minimal changes.
Optimised Cloud Performance - Automate data cleansing and enrichment in Azure for faster, more accurate and consistent results.
Enterprise-Scale Processing - For high data volumes.
Modernise your data workflows with Microsoft Fabric. Melissa’s cloud APIs can be integrated directly into Fabric notebooks and pipelines to deliver trusted data quality, enrichment, identity verification and compliance capabilities at scale.
Whether you are validating customer records, enriching analytics data or automating batch processes, Melissa helps you bring clean, reliable data into your Fabric environment with minimal setup.
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.
The IP Locator transform geolocates a given IP address and returns latitude/longitude, city, state, postal code, county and ISP information.
A demonstration with one of our representatives gives you a first-hand look at our products in action. Request one today.