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Primeur is a multinational group headquartered in Switzerland specialising in Enterprise Data Integration for more than 30 years. Our greatest strength is our ability to offer Data Integration solutions that start with consulting, include the implementation of our software and continue over time with full Client’s support throughout the entire life cycle of Data Integration. Using proprietary and market best of breed technologies, we have designed, developed and implemented the innovative Hybrid Integration Platform Platform Primeur Ghibli Next, and a totally new E2E Data Governance and Lineage solution, Primeur Data Watcher™.
Primeur’s unique approach in the international sw scenario is to Integrate data of every Client – thanks to its software, created and developed in the R&D centres – using our HIP platform without modifying the applications.
This approach combined with Primeur Ghibli Next HIP allows companies to keep existing technologies and applications, or even to adopt new ones in line with the increasing amount of information and with emerging market trends (as IoT, Artificial Intelligence, Big Data), ensuring effective integration of all Data in the organization.
Tamr provides an AI-native Master Data Management solution that delivers real-time master data for every consumption endpoint. It enhances decision-making and customer experience through rapid creation and maintenance of golden records.
Tamr accelerates the discovery and enrichment of data with its patented AI-centric approach, enabling value delivery in days or weeks. It features intuitive 360-degree entity pages, supporting analytical and operational use cases with accurate data in real time. Harnessing AI for data mastering, Tamr combines machine learning with human oversight to optimize data processing, offering features like entity resolution and data mastering at scale to meet diverse business needs effectively.
What are Tamr's most significant features?Tamr is implemented across industries like finance and healthcare, where accurate data is crucial. In finance, it enhances data quality for risk analysis, while in healthcare, it ensures reliable patient data integration, both benefiting from improved decision-making and operational efficiency.
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