If you need to make sure data is accurate and consistent across your organization, Collibra is a data intelligence platform with a variety of tools including Data Governance, Data Quality, and Observability. It automates data processes, cuts manual work and offers a unified view of data assets, so you can work more efficiently and at scale. Collibra can be used for data analytics and AI model training, and it's highly scalable and adaptable. You can try its Data Quality & Observability tool for free to see if it works for you.
Another good choice is Profisee, an enterprise Master Data Management (MDM) system that centralizes data from multiple sources, ensures data quality and enforces governance policies. Profisee is geared for companies with complex data operations, with an interface that's easy to use and support that's responsive. It's designed to help you improve your data operations, so you can have confidence in your analytics and make strategic decisions.
If you're particularly concerned about address data accuracy, Melissa has a data quality and address verification service. It offers services for verifying addresses globally, cleansing data and matching records, among other things. Melissa customers include health care, e-commerce and government agencies, and it's designed to accommodate data privacy and security requirements like GDPR and HIPAA.
Last, Metaplane is a data observability service that lets data teams quickly identify and fix data issues. With features like ML-based monitoring, anomaly detection and real-time schema change notifications, Metaplane helps you trust your data and collaborate better. It's designed to be secure, and you can try it for free, so it's a good choice for teams that want to get their data operations in order.