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SummaryWe all recognize that data has the potential for new opportunities, insights, and to help our businesses grow. As organizations add more data and as that data gets more democratized, it’s increasingly critical to know what data you have, which you can trust, and which is most useful for your task at hand. Removing duplicates is a key step in this process, helping to clean up your data footprint and unlock data value.Join this webinar with Kelly Sun, IBM Match 360 Product Manager, and Lars Bremer, senior software engineer, to learn best practices for matching data to eliminate duplicates, as well as how you can build trusted views of your customer and enterprise data. Augment and expand the capabilities of your existing Master Data Management and Watson Knowledge Catalog by intelligently linking new and existing data across internal and external sources.Key SpeakersKelly Sun - Product Manager, Data Fabric, IBMKelly Sun is a Product Manager in the IBM Match 360 with Watson team. Kelly has been with IBM for over 3 years working in the MDM, Product Information Management, and data quality/governance space.Lars Bremer – Senior Software Engineer, IBM Match 360, IBM. Lars Bremer is a senior software engineer and part of the architecture team for IBM Match 360 with Watson.In this role, he is responsible for the architecture and design of various aspects of Match 360 like pair analysis, stewardship, and data quality. He leads a development team that currently focusses on new data quality features.