Melissa Data Quality Platforms
Melissa's Full Spectrum DQ Approach. Learn More
ETL/MDM PlatformsMelissa offers a host of solutions for full spectrum data quality to ensure the success of your data.
Melissa 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.
Our Data
Verify & enrich your records with multi-sourced, authoritative reference datasets.
How our data quality solutions work
Getting started is easy. Our data quality solutions are hosted via an interface as a web service or on-premise (locally). With several server stations, we guarantee an uptime of 99.9 % for our web service. We currently achieve an uptime of 100 %.
Alternatively, you can also provide us with a file containing your inventory data via SFTP and we will process it as part of our Bureau Service, making the results available to you.
Our technology can process data both in real time (point-of-entry) and in batch mode (batch processing). We offer you international 24/7 support and German-language support during our office hours. This is free of charge for you as a customer and/or prospective customer.
- Real-time (point of entry): Contact data is automatically checked before it enters your CRM/ERP system. This significantly reduces the required time and manual effort.
- Batch mode (batch processing): Before starting a campaign, you can check the relevant contact data to ensure that mailings/emails/SMS reach the customer.
We work with a wide range of partners, especially leading postal authorities, whose databases are linked to our address engine. This means we always receive the most up-to-date reference data.
Poor data quality is a major cost factor that companies can avoid effectively. On average, it only costs € 1 to check contact information with the help of professional software support. However, poor data quality not only means higher costs, but it also has a negative impact on decisions and response rates as well as cross-selling and up-selling opportunities.
Calculate the cost impact of your data based on your individual use case with our E-Commerce ROI Calculator.
Situations with Melissa's data quality solutions
Sample use cases in which Melissa's data quality tools are helpful:
- Address Verification: Return rate of postal mailing campaigns due to incorrect or incomplete addresses is reduced
- Autocompletion: Faster data entry for customers reduces shopping cart abandonments
- Email Verification: High return rates of emails due to incorrect or incomplete email addresses are reduced
- Name Analysis: Use personalisation, no incorrect and impersonal salutations
- Data Deduplication: Customers are not created more than once in the system, which can otherwise lead to data protection violations
- ... and much more!
Improved Decision Making
Clean and accurate data leads to better-informed decision-making. Quick access to reliable data helps teams make faster and more confident choices.
Reduced Costs & Errors
Data quality tools can automatically identify and correct errors in data, reducing the chances of mistakes that can lead to costly errors in operations or reporting.
Increased Revenue
Accurate and reliable data can lead to more targeted marketing campaigns, better sales forecasting, and improved pricing strategies, all of which can increase revenue.
Time Savings
Automated data quality checks and corrections save time previously spent on manual data cleansing and validation tasks.
