Today, Gino Fortunato will guide us through the role of name cleansers for data matching in Reltio. Our agenda encompasses an understanding of name cleansers, their significance, and configuration nuances. Gino will discuss three types of cleansers in Reltio—name cleanser, string replacement, and noise removal—with a focus on the name cleanser and its role in the matching process.
Name cleansers serve a vital role in detecting matching names in Reltio's matching framework. Key functionalities include:
We will now explore how to configure name cleansers within Reltio's matching rules:
Reltio offers customizable name cleansers to cater to diverse use cases:
Reltio integrates with RDM for more advanced and dynamic name cleansing:
Understanding the cumulative effect of match cleansers within the matching rules is crucial:
Name cleansers represent a vital cog in Reltio's matching framework, enabling precise identification of matching names. Whether administrators use default cleansers or opt for customization through RDM, the outcome invariably enhances data quality and matching results. Appreciating the configuration and cumulative impacts of match cleansers is integral to successful implementation.
We are grateful for Gino Fortunato's expert insights into the power of name cleansers in Reltio. We hope this discussion proved enlightening and eagerly anticipate your participation in our upcoming events!
For questions, check out the Reltio Community and ask your questions there https://community.reltio.com/home
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