Unlock data trust and value with intelligent matching and de-duplication Webinar

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Summary

We 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 Katie Kupec, Product Manager, IBM Data Governance 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 Speakers


Katie Kupec - Product Manager, IBM Data Governance

Katie Kupec is a Product Manager on the IBM Data Governance team. She’s passionate about building great products, as well as collaborating with and enabling teams and users to get the most from their data. Combining her skillset from her previous life as a product marketing manager, she now leads strategy and go-to-market for IBM Match 360 with Watson, supporting Enterprise and Customer 360 use cases.



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.